Underwater equipment reliability and performance index optimization method, device and computer equipment

Abstract

The present application relates to a method, device, computer equipment and storage medium for optimizing the reliability and performance index of underwater equipment. The method comprises: constructing an optimization model for the reliability and performance index of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, probability of destruction and maintainability of underwater equipment; injecting the availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation into the optimization model and calculating the optimal solution, so as to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal probability of destruction, loading reliability of underwater equipment for one year, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of underwater equipment. The method can achieve coordination between reliability indexes and performance indexes and avoid waste of resources.

Description

Technical Field

[0001] The present application relates to the technical field of system reliability evaluation, and in particular to a method, device, computer equipment and storage medium for optimizing the reliability and performance index of underwater equipment. Background Art

[0002] In modern applications, while strict requirements are put forward for the performance of underwater equipment, higher, stricter and more comprehensive requirements are also put forward for its reliability. At present, the reliability engineering research and implementation have been systematically carried out in China, and the reliability work of underwater equipment has improved, but the phenomenon of "two skins" between reliability design and performance design has become increasingly prominent, among which the incoordination of the index system has become its fundamental influencing factor. Reliability and performance use two technical systems. Reliability focuses on the probability of underwater equipment meeting task requirements normally during long-term use, while performance focuses more on the advancement of underwater equipment and its ability to complete tasks. There is also a natural connection between the two: both focus on the core characteristics of the product, and these characteristics are closely related to product design. Changes in controllable design factors will cause changes in product performance indicators and reliability indicators. Reliability and performance requirements complement each other, and sometimes restrict each other. The collaborative design of the two is a process of trade-offs. At present, there is incoordination in the demonstration of underwater equipment reliability indicators, which is mainly manifested in the use of different parameters to describe the reliability of the same type of tasks for different models of underwater equipment; the reliability indicators of different models do not match; and the same model has different reliability indicators. Inconsistency and other issues.

[0003] In the face of the above-mentioned problems existing in the reliability and performance index system of underwater equipment, it is urgent to explore new ideas, draw on the successful experiences of various industries, absorb mature technologies and advanced concepts, deeply analyze the use and support needs of underwater equipment, full life cycle tasks and environmental characteristics, systematically sort out the existing reliability and performance index system of underwater equipment, and focus on the needs of coordinated improvement of the reliability and performance of underwater equipment. Research the integrated demonstration method of the reliability and performance indicators of underwater equipment, guide underwater equipment to comprehensively improve the reliability and performance index system with good coordination, and provide a basic basis for the integrated improvement of the reliability and performance of underwater equipment.

[0004] The existing demonstration system is to demonstrate reliability indicators and performance indicators as two independent parts. For different equipment, some specific reliability or performance indicator demonstration methods can be found. For example, the article "Research on Demonstration Methods of Weapon System Reliability Indicators" proposed a reliability indicator demonstration method based on funding and trouble-free requirements; the article "Demonstration Calculation of Main Performance Indicators of Naval Gun Weapon Systems" proposed a performance indicator calculation method based on combat requirements.

[0005] The existing optimization systems for underwater equipment reliability and performance indicators do not comprehensively consider the mutual impact of reliability and performance, and cannot achieve collaborative design. There may often be inconsistencies between reliability indicators and performance indicators, resulting in a waste of resources. Summary of the invention

[0006] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for optimizing the reliability and performance indicators of underwater equipment, which can improve the coordination between the reliability indicators and performance indicators of underwater equipment in response to the above technical problems.

[0007] A method for optimizing reliability and performance indicators of underwater equipment, the method comprising:

[0008] An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0009] Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0010] The optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0011] In one of the embodiments, the constraint conditions of the underwater equipment reliability and performance index optimization model also include: the research and development funds of the underwater equipment are less than or equal to a preset fund threshold;

[0012] The availability is greater than or equal to a preset availability threshold.

[0013] The use efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset use efficiency threshold of the underwater equipment when working simultaneously;

[0014] The storage reliability, the actual flight reliability, the destruction probability and the maintainability are respectively limited within preset indicators.

[0015] In one embodiment, the calculating of the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal use effectiveness, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment includes: taking the use effectiveness of the underwater equipment when working simultaneously as the optimization target of the underwater equipment reliability and performance index optimization model, and taking the research and development funds, use availability, storage reliability, actual navigation reliability, destruction probability and maintainability as the constraints of the underwater equipment reliability and performance index optimization model;

[0016] The reliability and performance index optimization model of the underwater equipment is optimized according to the constraint conditions to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0017] In one embodiment, when the underwater equipment is capable of maintenance during storage,

[0018] P or =R S (t S )+[1-R S (t S )]M S (t d )

[0019] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time;

[0020] When the underwater equipment is not capable of maintenance during storage,

[0021]

[0022] Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

[0023] In one embodiment, the usage efficiency equation of the underwater equipment when working simultaneously includes:

[0024] W(n)=1-[1-W(1)] n =1-(1-R C R WP1P2) n

[0025] W(1)=R C R W P1P2

[0026] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0027] In one embodiment, the actual flight reliability equation includes:

[0028]

[0029] Among them, R W It is the actual navigation reliability of underwater equipment.

[0030] In one of the embodiments, it also includes: based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, obtaining the one-year loading reliability, average storage time between failures, average actual navigation time between failures, average loading time between failures and average repair time of the underwater equipment.

[0031] A device for optimizing the reliability and performance index of underwater equipment, comprising:

[0032] The model building module is used to build an optimization model for the reliability and performance index of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0033] A model injection module is used to inject a preset availability equation, an efficiency equation for underwater equipment working simultaneously, a storage reliability equation and a practical voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0034] The model optimization module is used to calculate the optimal solution of the underwater equipment reliability and performance index optimization model, and obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0035] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0036] An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0037] Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0038] The optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0040] An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0041] Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0042] The optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0043] The above-mentioned underwater equipment reliability and performance index optimization method, device, computer equipment and storage medium construct an underwater equipment reliability and performance index optimization model based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the preset availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation are injected into the underwater equipment reliability and performance index optimization model and the optimal solution is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal destruction probability, one-year loading reliability of underwater equipment, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 An application environment diagram of an underwater equipment reliability and performance index optimization method in one embodiment;

[0045] Figure 2 It is a flowchart of a method for optimizing the reliability and performance index of underwater equipment in one embodiment;

[0046] Figure 3 A schematic diagram of a process for determining reliability and performance indicators in the demonstration phase in an embodiment;

[0047] Figure 4 It is a structural block diagram of an underwater equipment reliability and performance index optimization device in one embodiment;

[0048] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0050] The underwater equipment reliability and performance index optimization method provided in this application can be applied to Figure 1In the application environment shown, the terminal 102 communicates with the server 104 through a network. The terminal 102 and the server 104 can be used to execute the underwater equipment reliability and performance index optimization method provided by the present application separately; the terminal 102 and the server 104 can also be used to collaboratively execute the underwater equipment reliability and performance index optimization method provided by the present application. For example, server 104 constructs an optimization model for the reliability and performance index of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of the underwater equipment; the use efficiency of the underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions; the preset availability equation, the use efficiency equation of the underwater equipment when working simultaneously, the storage reliability equation and the actual navigation reliability equation are injected into the optimization model for the reliability and performance index of underwater equipment; the optimal solution of the optimization model for the reliability and performance index of underwater equipment is calculated to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0051] The terminal 102 may be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0052] In one embodiment, Figure 2 As shown in the figure, a method for optimizing the reliability and performance index of underwater equipment is provided. Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0053] Step 202, constructing an optimization model for the reliability and performance indicators of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of the underwater equipment; the use efficiency of the underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions.

[0054] Before building the reliability and performance index optimization model of underwater equipment, the reliability and performance indexes need to be preliminarily determined in the demonstration stage. By confirming the mission requirements of underwater equipment, forming its functional baseline, coordinating reliability demand demonstration, preliminarily determining the overall technical plan and preliminary development funds, development cycle and support conditions, and compiling the overall requirements for equipment development. Figure 3 FIG. 1 is a flow chart of determining reliability and performance indicators in the demonstration phase in an embodiment. Figure 3 As shown in the figure, the main work contents of reliability and performance indicators in the demonstration phase include: ① Conduct technical feasibility demonstration, including: analysis and calculation of major tactical and technical indicators; determine the preliminary overall technical plan; determine key technologies and solutions; determine preliminary requirements for underwater equipment, including general quality characteristics requirements; ② Conduct preliminary risk identification and estimation to determine the scope of potential problems and possible solutions; ③ Decompose the system work, conduct economic feasibility analysis and project pricing, propose total research and development funds and funding arrangements for each stage, and estimate product costs and prices; ④ Conduct progress analysis, estimate the development cycle, propose development cycle arrangements, and draw a development network diagram.

[0055] The comprehensive performance characteristic parameters of underwater equipment are shown in Table 1, including the probability of destruction. This indicator is related to the performance design, mission nature and qualification criteria of underwater equipment, and can be determined through the performance simulation of underwater equipment. The indicator is broken down into the specific functional performance indicator requirements of each unit of underwater equipment, which are determined by different underwater equipment design features. The comprehensive reliability characteristic parameters mainly include availability and inspection pass rate. Taking into account the technical and working characteristics of underwater equipment, combined with its mission, life cycle environment and comprehensive support requirements, according to the principle of distinguishing between use parameters and contract parameters, and distinguishing between working status and non-working status, the availability and inspection pass rate of the comprehensive characteristic parameters of underwater equipment are converted into specific reliability design and assessment indicators for underwater equipment, namely the basic reliability parameters of underwater equipment and the basic reliability parameters of support equipment, as shown in Table 2:

[0056] Table 1 Comprehensive characteristic parameters of underwater equipment

[0057]

[0058] Table 2 Reliability parameters of underwater equipment

[0059]

[0060]

[0061] When constructing the optimization model of underwater equipment reliability and performance indicators, it is necessary to construct the optimization model of underwater equipment reliability and performance indicators based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, probability of destruction and maintainability of underwater equipment; among them, the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously, the probability of destruction is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy interception, and the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions. The optimization model of underwater equipment reliability and performance indicators is a model description of the relationship between reliability and performance indicators, and is the basic means to carry out the coordinated design of underwater equipment reliability and functional performance. When conducting the integrated demonstration of reliability and performance indicators according to the optimization model of underwater equipment reliability and performance indicators, the most desired target value of this type of underwater equipment should be determined first, such as optimal use efficiency, high availability, and optimal economy. At the beginning of model justification, the availability is usually given directly based on the user's requirements for underwater equipment, and based on this, the reliability and other maintainability parameters are demonstrated in combination with the analysis of mission volume and mission time.

[0062] Step 204, injecting the preset availability equation, the efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model.

[0063] Specifically, the reliability and performance index optimization model of underwater equipment needs to include the availability equation, the efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation, so as to optimize the reliability and performance index of underwater equipment in an integrated manner. The preset availability equation, the efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation are injected into the reliability and performance index optimization model of underwater equipment to obtain the final reliability and performance index optimization model of underwater equipment.

[0064] Step 206, calculate the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0065] Specifically, the optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintenance degree and optimal destruction probability of the underwater equipment. When calculating the optimal solution of the underwater equipment reliability and performance index optimization model, since the objective function and constraint conditions in the underwater equipment reliability and performance index optimization model are nonlinear functions, a complex nonlinear optimization problem is constituted. Generally, classical nonlinear programming methods (such as Newton's method and conjugate method) and modern intelligent optimization algorithms (such as genetic algorithm, ant colony algorithm, etc.) can be used to solve it. The classical method is relatively time-saving, but it is easy to fall into the local optimal solution. The combination of multiple search mechanisms, the combination of global and local search algorithms, and the combination of algorithms and optimization problems can be used. According to the data of the model, a suitable solution algorithm is selected to obtain a solution that meets the requirements of the underwater equipment reliability and performance index optimization model. This solution may be multiple. The optimal solution is selected according to engineering experience, and the requirements of each indicator in the model are determined as the reliability and performance index requirements of the underwater equipment.

[0066] In the above-mentioned underwater equipment reliability and performance index optimization method, an underwater equipment reliability and performance index optimization model is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the preset availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation are injected into the underwater equipment reliability and performance index optimization model and the optimal solution is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal destruction probability, one-year loading reliability of underwater equipment, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources.

[0067] In one embodiment, the constraint conditions of the underwater equipment reliability and performance index optimization model include: the research and development funds of the underwater equipment are less than or equal to a preset fund threshold;

[0068] The availability is greater than or equal to a preset availability threshold.

[0069] The use efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset use efficiency threshold of the underwater equipment when working simultaneously;

[0070] The storage reliability, the actual flight reliability, the destruction probability and the maintainability are respectively limited within preset indicator ranges.

[0071] Specifically, when constructing the optimization model of underwater equipment reliability and performance indicators, considering that the research and development funds of underwater equipment usually increase with the improvement of reliability index requirements and functional performance index requirements, it is necessary to analyze and establish the functional relationship between research and development funds and reliability and performance indicators, that is, the CER (Cost Estimate Relation) model. The common methods for establishing the CER model include: ① Linear regression analysis: Use the linear regression method to establish a linear functional relationship between parameters and costs. This method is suitable for situations where the relationship between parameters and costs is roughly linear. ② Nonlinear regression analysis: Use the nonlinear regression method to establish a nonlinear relationship model between parameters and costs, such as (power) exponential relationship, logarithmic relationship, etc. ③ Artificial neural network: For special unknown CER relationship models, an artificial neural network model can be used to train the model with historical cost data to obtain a parameter cost relationship model based on a neural network. ④ Support vector machine: Use the support vector machine method to establish a CER model. ⑤ Expert experience formula: Establish the basic form of the CER model based on expert experience.

[0072] The constraints of the underwater equipment reliability and performance index optimization model include: the research and development cost of the underwater equipment is less than or equal to the preset cost threshold; the use availability is greater than or equal to the preset use availability threshold; the use efficiency of the underwater equipment when working simultaneously is greater than or equal to the preset use efficiency threshold of the underwater equipment when working simultaneously; the storage reliability, the actual navigation reliability, the destruction probability and the maintainability are respectively limited within the preset indicators. For example, assuming that when a certain type of underwater equipment is developed, the research and development cost C0 is given, and the use availability requirement is not less than P or *, it is required to carry out the demonstration of the index with the best performance (not less than W(1)*), and determine the optimization model of integrated demonstration of reliability and performance index as follows:

[0073] max W(1)

[0074] stC≤C0

[0075] P or =R S (t S )+[1-R S (t S )]M S (t d )≥P or *

[0076] W(1)=R C R W P2=R S (t S =2t C )R W P2≥W(1)*

[0077] M S (t d =t0)≥M S *

[0078] Taking into account the cost constraint, the model can be optimized as follows:

[0079] max W(1)

[0080] stC=f(P or ,P2)≤C0

[0081] P or =R S (t S )+[1-R S (t S )]M S (t d )≥P or *

[0082] W(n)≥W(n)*

[0083] M S (t d =t0)≥M S *

[0084] W(1)=R C R W P2=R S (t S =2t C )R W P2

[0085] W(n)=1-(1-W(1)) n

[0086] in:

[0087] f(P or ,P2)——The cost function that represents the availability and probability of destruction is determined by the manufacturing cost of raw materials, components, etc. required to achieve the specified reliability and performance indicators;

[0088] R S (t S )——Underwater equipment storage S Storage reliability of time, according to the characterization needs, usually t S The value can be within 0.5a~3.0a;

[0089] R C (t C )——Underwater equipment loading t C Time loading reliability, according to the characterization needs, usually t C The value can be within 0.5a~1.5a;

[0090] R W ——Reliability of underwater equipment in actual navigation missions when the underwater equipment is loaded normally;

[0091] P2 - probability of destruction of underwater equipment; it is related to the performance design, mission nature and qualification criteria of underwater equipment, and is determined through performance simulation of underwater equipment;

[0092] t S - storage time;

[0093] t C - loading time;

[0094] M S (t d )——Maintenance degree, that is, under the specified maintenance conditions and guarantee conditions, within the specified time t d The probability of completing the task of repairing faulty underwater equipment within 10 days;

[0095] M S *——Minimum acceptable value of maintainability;

[0096] t0 - the allowed delay time for repair, which can be understood as the maximum time allowed from receiving the order to repair the underwater equipment to completing the repair of the underwater equipment.

[0097] In this embodiment, by setting the constraint conditions of the underwater equipment reliability and performance index optimization model, the construction of the underwater equipment reliability and performance index optimization model is realized, and the coordination between the reliability index and the performance index when optimizing the underwater equipment index is achieved, thereby avoiding the waste of resources.

[0098] In one embodiment, the calculating of the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal use effectiveness, optimal actual navigation reliability, optimal storage reliability, optimal maintenance degree and optimal destruction probability of the underwater equipment includes:

[0099] The use efficiency of underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model; the research and development funds, use availability, underwater equipment storage reliability, actual navigation reliability, destruction probability and maintainability are used as the constraint conditions of the underwater equipment reliability and performance index optimization model;

[0100] The reliability and performance index optimization model of the underwater equipment is optimized according to the optimization target to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0101] Specifically, when calculating the optimal solution of the underwater equipment reliability and performance index optimization model, the use efficiency of the underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model; at least one of the research and development funds, use availability, use efficiency of the underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability is used as the optimization target constraint of the underwater equipment reliability and performance index optimization model; finally, the underwater equipment reliability and performance index optimization model is optimized according to the optimization target and constraint conditions to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment. For example, assuming that the procurement funds for a single underwater equipment are required to be no more than 11 million, and referring to the experience of previous models, the requirements for some indicators are as follows:

[0102] ① Actual flight reliability R W (t W ): The specified value of actual flight reliability should be no less than 0.92, and the minimum acceptable value should be no less than 0.75 (confidence level is 0.8);

[0103] ② Loading reliability R C (t C ): After one year of loading on board, the specified value shall not be less than 0.93, and the minimum acceptable value shall not be less than 0.8 (confidence level 0.8);

[0104] ③ Storage reliability R S (t S ): Under warehouse storage conditions, and with normal maintenance and inspection as required, the specified value shall not be less than 0.90 and the minimum acceptable value shall not be less than 0.8 (confidence level 0.8) for 2 years;

[0105] ④Maintainability M(t d ): Under the maintenance guarantee conditions of the storage warehouse, the probability of repairing underwater equipment within 2 hours is not less than 0.8 (confidence level 0.8). Considering the current industrial level, the maintenance value does not exceed 0.9.

[0106] ⑤ Destruction probability P2: The probability that the underwater equipment can succeed in its mission is not less than 0.9;

[0107] ⑥ Refer to the cost of previous models and determine the cost function as an exponential relationship C = C0exp(0.02P or +0.08P2);

[0108] ⑦ The availability of use is not less than 0.95;

[0109] ⑧ Based on previous model experience, the constraints of each reliability index are set to 0.95.

[0110] The utilization efficiency W(6) of 6 underwater equipment working simultaneously is required to be no less than 0.995. The single utilization efficiency W(1) is used as the best indicator for demonstration, and the optimization model of underwater equipment reliability and performance indicators is determined as follows:

[0111] max W(1)

[0112] stC=1000*exp(0.02P or +0.08P2)≤1100

[0113] P or =R S (t S )+[1-R S (t S )]M S (t d )≥0.95

[0114] W(6)=1-(1-W(6)) 2 ≥0.95

[0115] 0.95≥R S (t S )≥0.9

[0116] 0.95≥R W (t W )≥0.9

[0117] 0.95≥P2≥0.9

[0118] 0.9≥M S (t d =2 hours)≥0.8

[0119] The model has R S , R W 、M S The four variables of P and P2 are typical mixed nonlinear programming problems. The optimal solutions are determined by Newton's method and conjugate method, as shown in Table 4. The minimum acceptable value is based on the lower limit requirement of 6 units' utilization efficiency closest to 0.995 as the optimization principle, and the specified value is based on the maximum utilization efficiency of 6 units as the optimization principle.

[0120] Table 4 Index demonstration optimization solution results

[0121]

[0122] In this embodiment, the use efficiency of underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model; at least one of the research and development funds, use availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability is used as the optimization target constraint condition of the underwater equipment reliability and performance index optimization model, and the underwater equipment reliability and performance index optimization model is optimized according to the optimization target and constraint conditions to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources.

[0123] In one embodiment, the preset availability equation includes: when the underwater equipment has maintenance capability during storage,

[0124] P or =R S (t S )+[1-R S (t S )]M S (t d )

[0125] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time;

[0126] When the underwater equipment is not capable of maintenance during storage,

[0127]

[0128] Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

[0129] Specifically, the availability equation includes two situations: when the underwater equipment has maintenance capability during storage and when the underwater equipment does not have maintenance capability during storage. When the underwater equipment has maintenance capability during storage,

[0130] P or =R S (t S )+[1-RS (t S )]M S (t d )

[0131] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance within which maintenance tasks are completed.

[0132] When there is no on-site maintenance capability during the storage of underwater equipment, the failed unit needs to be replaced to ensure the availability of the underwater equipment. Assume that n units need to be prepared for the technical preparation of underwater equipment. In order to ensure the availability of underwater equipment, it is required that each n underwater equipment is equipped with m backup underwater equipment. Assume that a single set of underwater equipment consists of l units. During the technical preparation of underwater equipment, the l units of the underwater equipment are tested separately. When the technical status of a unit does not meet the specified functional performance index requirements, it is replaced with a backup unit.

[0133] Assume R i (i=1,2,…,m) is the storage reliability of the i-th unit of underwater equipment within the specified storage time (interval between two scheduled inspections). Then the storage reliability of underwater equipment is:

[0134]

[0135] In a technical preparation, each unit of n underwater equipment needs to be tested. When its technical status does not meet the specified functional performance index requirements, the spare unit is replaced; then the probability that unit j can prepare n technical statuses that meet the specified functional performance indexes is:

[0136]

[0137] Among them, Y j is the number of n units j tested first whose technical status meets the specified functional performance index requirements; Z j It is the number of m backup units j whose technical status meets the specified functional performance index requirements.

[0138] In a technical preparation process, the availability of n underwater equipment that can be prepared is:

[0139]

[0140] The loading state of underwater equipment is basically the same as the storage state of underwater equipment, but the environment is slightly different. Therefore, the reliability index of the device can be demonstrated together with the storage reliability index of underwater equipment. Although the storage and loading environments are different, they are comparable to a certain extent. Therefore, there is a strong correlation between storage reliability and loading reliability. According to the index values ​​of foreign underwater equipment and the verification results of domestic underwater equipment, the environmental impact factor of loading is about twice that of storage. Converted to the reliability index, it is approximately:

[0141] R C (t C )=R S (t S =2t C )

[0142] Underwater equipment is a large and complex electromechanical system, and its failure law is approximately exponential. Therefore, the storage reliability R S (t S ) and mean time between failures T BSF There is the following approximate relationship:

[0143] R S (t S )=exp(-t S / T BSF )

[0144] In this embodiment, by setting the constraint conditions of the underwater equipment reliability and performance index optimization model, the construction of the underwater equipment reliability and performance index optimization model is realized, and the coordination between the reliability index and the performance index when optimizing the underwater equipment index is achieved, thereby avoiding the waste of resources.

[0145] In one embodiment, the utility equation of the underwater equipment when working simultaneously includes:

[0146] W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n

[0147] W(1)=R C R W P1P2

[0148] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R WIt is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0149] Specifically, in order to determine the reliability of underwater equipment in actual navigation and other tasks, the reliability of underwater equipment in actual navigation and other tasks is usually determined by using the effectiveness analysis method based on the technical requirements of the underwater equipment and taking into full consideration the performance, survivability, mission execution capability and equipment configuration of the underwater equipment. The effectiveness parameters of the underwater equipment system comprehensively reflect the above factors. Assume that the probability of an underwater equipment hitting the target and destroying the target under the specified conditions is W(1), then the calculation formula for the above probability of destroying the target is:

[0150] W(1)=R C R W P1P2

[0151] According to the actual combat requirements of underwater equipment, for the same enemy target, n underwater equipment work simultaneously to ensure that at least one underwater equipment destroys the target. At this time, the probability that n underwater equipment can destroy the enemy target is:

[0152] W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n

[0153] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0154] The reliability of underwater equipment in actual navigation missions is constrained by loading reliability, penetration capability, and underwater equipment attack capability. For simplicity, if the enemy interception problem is not considered, that is, the penetration probability is P1 = 1, then the system effectiveness of underwater equipment is:

[0155] W(n)=1-(1-R C R W P2) n

[0156] In this embodiment, by setting the constraint conditions of the underwater equipment reliability and performance index optimization model, the construction of the underwater equipment reliability and performance index optimization model is realized, and the coordination between the reliability index and the performance index when optimizing the underwater equipment index is achieved, thereby avoiding the waste of resources.

[0157] In one embodiment, the actual flight reliability equation includes:

[0158]

[0159] Among them, R W It is the actual navigation reliability of underwater equipment.

[0160] Specifically, in order to determine the actual mission reliability of underwater equipment, the loading reliability and the probability of destruction must be estimated, which can be predicted based on historical data during the scheme demonstration stage. After obtaining the loading reliability and the probability of destruction, the actual mission reliability equation of underwater equipment can be obtained. Given the effectiveness of the underwater equipment system, the actual mission reliability of the underwater equipment can be given by the above formula. However, it should be pointed out that this is rather aggressive because the penetration probability is not considered in the above formula. If the factor of penetration and enemy interception is considered, the actual mission reliability of the underwater equipment needs to be improved without reducing the effectiveness requirements of the underwater equipment system.

[0161] In this embodiment, by setting the constraint conditions of the underwater equipment reliability and performance index optimization model, the construction of the underwater equipment reliability and performance index optimization model is realized, and the coordination between the reliability index and the performance index when optimizing the underwater equipment index is achieved, thereby avoiding the waste of resources.

[0162] In one embodiment, the calculating of the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintenance degree and optimal destruction probability of the underwater equipment further includes:

[0163] Based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment are obtained.

[0164] Specifically, the one-year loading reliability, mean storage time between failures, mean actual voyage time between failures, mean loading time between failures and mean repair time of underwater equipment are calculated based on the optimal actual voyage reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of underwater equipment and the formulas corresponding to the one-year loading reliability, mean storage time between failures, mean actual voyage time between failures, mean loading time between failures and mean repair time of underwater equipment. The calculation formulas are shown in the determination principles in Table 5:

[0165] Table 5 Calculation results of other indicators

[0166]

[0167] According to the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment in Table 4, the corresponding one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment can be obtained as shown in the optimization results in Table 5.

[0168] In this embodiment, based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment are obtained, thereby reducing the workload of iteratively calculating a large number of performance index requirements, reliability index requirements and funding requirements, and providing a solution with strong engineering practicality for proposing an indicator system with a high degree of coordination between reliability and performance indicators and funding requirements.

[0169] It should be understood that although Figure 2-3 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-3 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0170] In one embodiment, Figure 4 As shown, a device for optimizing the reliability and performance index of underwater equipment is provided, including: a model building module 401, a model injection module 402 and a model optimization module 403, wherein:

[0171] The model building module 401 is used to build an optimization model for the reliability and performance indicators of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability of underwater equipment destroying enemy targets when it can penetrate enemy interception; the maintainability is the probability of repairing faulty underwater equipment within a specified time under specified maintenance conditions and guarantee conditions.

[0172] The model injection module 402 is used to inject the preset availability equation, the efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model.

[0173] The model optimization module 403 is used to calculate the optimal solution of the underwater equipment reliability and performance index optimization model, and obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0174] In one embodiment, the constraints of the underwater equipment reliability and performance index optimization model in the model building module 401 include: the development cost of the underwater equipment is less than or equal to a preset cost threshold; the availability is greater than or equal to a preset availability threshold; the efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset efficiency threshold when the underwater equipment works simultaneously; the storage reliability, the actual navigation reliability, the probability of destruction and the maintainability are respectively limited within preset indicators.

[0175] In one of the embodiments, the model optimization module 403 is also used to: use the performance of underwater equipment when working simultaneously as the optimization target of the underwater equipment reliability and performance index optimization model, and use research and development funds, usage availability, storage reliability, actual navigation reliability, destruction probability and maintainability as constraints of the underwater equipment reliability and performance index optimization model; optimize the underwater equipment reliability and performance index optimization model according to the constraints to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0176] In one embodiment, the usage availability equation preset in the model injection module 402 includes:

[0177] When the underwater equipment has the ability to be repaired during storage,

[0178] P or =R S (t S)+[1-R S (t S )]M S (t d )

[0179] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time;

[0180] When the underwater equipment is not capable of maintenance during storage,

[0181]

[0182] Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

[0183] In one embodiment, the usage efficiency equation of the underwater equipment in the model injection module 402 when working simultaneously includes:

[0184] W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n

[0185] W(1)=R C R W P1P2

[0186] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0187] In one embodiment, the actual flight reliability equation in the model injection module 402 includes:

[0188]

[0189] Among them, RW It is the actual navigation reliability of underwater equipment.

[0190] In one embodiment, the model optimization module 403 is also used to obtain the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0191] The above-mentioned underwater equipment reliability and performance index optimization device constructs an underwater equipment reliability and performance index optimization model based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the preset availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation are injected into the underwater equipment reliability and performance index optimization model and the optimal solution is calculated to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal destruction probability, one-year loading reliability of underwater equipment, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources.

[0192] For the specific definition of the underwater equipment reliability and performance index optimization device, please refer to the definition of the underwater equipment reliability and performance index optimization method above, which will not be repeated here. Each module in the above-mentioned underwater equipment reliability and performance index optimization device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0193] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. 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 network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for optimizing the reliability and performance indicators of underwater equipment is implemented.

[0194] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0195] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0196] An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0197] Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0198] The optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0199] In one embodiment, the constraints of the underwater equipment reliability and performance index optimization model when the processor executes the computer program include: the development cost of the underwater equipment is less than or equal to a preset cost threshold; the availability is greater than or equal to a preset availability threshold; the efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset efficiency threshold of the underwater equipment when working simultaneously; the storage reliability, the actual navigation reliability, the probability of destruction and the maintainability are respectively limited within preset indicators.

[0200] In one embodiment, when the processor executes the computer program, the following steps are also implemented: the use efficiency of underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model, and the research and development funds, use availability, storage reliability, actual navigation reliability, destruction probability and maintainability are used as the constraints of the underwater equipment reliability and performance index optimization model; the underwater equipment reliability and performance index optimization model is optimized according to the constraints to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0201] In one embodiment, the processor executing the computer program using the availability equation includes:

[0202] When the underwater equipment has the ability to be repaired during storage,

[0203] P or =R S (t S )+[1-R S (t S )]M S (t d )

[0204] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time;

[0205] When the underwater equipment is not capable of maintenance during storage,

[0206]

[0207] Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

[0208] In one embodiment, when the processor executes the computer program, the usage efficiency equation of the underwater equipment when working simultaneously includes:

[0209] W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n

[0210] W(1)=R C R W P1P2

[0211] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0212] In one embodiment, when the processor executes the computer program, the actual flight reliability equation includes:

[0213]

[0214] Among them, R W It is the actual navigation reliability of underwater equipment.

[0215] In one embodiment, when the processor executes the computer program, the following steps are also implemented: based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment are obtained.

[0216] The above-mentioned computer equipment constructs an optimization model for the reliability and performance indicators of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; injects the preset availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation into the optimization model for the reliability and performance indicators of underwater equipment and calculates the optimal solution, so as to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal destruction probability, one-year loading reliability of underwater equipment, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources.

[0217] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0218] An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions;

[0219] Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model;

[0220] The optimal solution of the underwater equipment reliability and performance index optimization model is calculated to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0221] In one embodiment, when the computer program is executed by the processor, the constraints of the underwater equipment reliability and performance index optimization model include: the development cost of the underwater equipment is less than or equal to a preset cost threshold; the availability is greater than or equal to a preset availability threshold; the efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset efficiency threshold of the underwater equipment when working simultaneously; the storage reliability, the actual navigation reliability, the probability of destruction and the maintainability are respectively limited within preset indicators.

[0222] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the use efficiency of underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model, and the research and development funds, use availability, storage reliability, actual navigation reliability, destruction probability and maintainability are used as the constraints of the underwater equipment reliability and performance index optimization model; the underwater equipment reliability and performance index optimization model is optimized according to the constraints to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

[0223] In one embodiment, the computer program when executed by a processor using the availability equation comprises:

[0224] When the underwater equipment has the ability to be repaired during storage,

[0225] P or =R S (t S )+[1-R S (t S )]MS (t d )

[0226] Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time;

[0227] When the underwater equipment is not capable of maintenance during storage,

[0228]

[0229] Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

[0230] In one embodiment, when the computer program is executed by the processor, the usage efficiency equation of the underwater equipment when working simultaneously includes:

[0231] W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n

[0232] W(1)=R C R W P1P2

[0233] Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

[0234] In one embodiment, when the computer program is executed by a processor, the actual flight reliability equation includes:

[0235]

[0236] Among them, R W It is the actual navigation reliability of underwater equipment.

[0237] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment are obtained.

[0238] The above-mentioned storage medium constructs an optimization model for the reliability and performance indicators of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, probability of destruction and maintainability of underwater equipment; injects the preset availability equation, the use efficiency equation of underwater equipment working simultaneously, the storage reliability equation and the actual navigation reliability equation into the optimization model for the reliability and performance indicators of underwater equipment and calculates the optimal solution, so as to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability, optimal probability of destruction, one-year loading reliability of underwater equipment, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time, thereby achieving coordination between reliability indicators and performance indicators and avoiding waste of resources.

[0239] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0240] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0241] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for optimizing the reliability and performance index of underwater equipment, characterized in that: The method comprises: An optimization model for the reliability and performance index of underwater equipment is constructed based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions; Injecting the preset availability equation, the effectiveness equation of underwater equipment working simultaneously, the storage reliability equation and the actual voyage reliability equation into the underwater equipment reliability and performance index optimization model; Calculate the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment; The preset availability equation includes: When the underwater equipment has the ability to be repaired during storage, P or =R S (t S )+[1-R S (t S )]M S (t d ) Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time; When the underwater equipment is not capable of maintenance during storage, Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

2. The method according to claim 1, characterized in that The constraints of the underwater equipment reliability and performance index optimization model include: The research and development funds of the underwater equipment are less than or equal to a preset funding threshold; The availability is greater than or equal to a preset availability threshold. The use efficiency of the underwater equipment when working simultaneously is greater than or equal to a preset use efficiency threshold of the underwater equipment when working simultaneously; The storage reliability, the actual flight reliability, the destruction probability and the maintainability are respectively limited within preset indicators.

3. The method according to claim 2, characterized in that The calculating of the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal use efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintenance degree and optimal destruction probability of the underwater equipment includes: The use efficiency of underwater equipment when working simultaneously is used as the optimization target of the underwater equipment reliability and performance index optimization model, and the research and development funds, use availability, storage reliability, actual navigation reliability, destruction probability and maintainability are used as the constraint conditions of the underwater equipment reliability and performance index optimization model; The reliability and performance index optimization model of the underwater equipment is optimized according to the constraint conditions to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment.

4. The method according to claim 1, characterized in that: The utility equation of the underwater equipment when working simultaneously includes: W(n)=1-[1-W(1)] n =1-(1-R C R W P1P2) n W(1)=R C R W P1P2 Where W(n) is the probability that n underwater equipment will hit and destroy the target when launched under specified conditions, and R C is the loading reliability of underwater equipment, R W It is the reliability of underwater equipment in actual navigation mission under normal loading conditions. P1 is the probability that underwater equipment can penetrate enemy interception, referred to as penetration probability. P2 is the probability that underwater equipment can destroy the target, referred to as destruction probability.

5. The method according to claim 1, characterized in that The actual flight reliability equation includes: Among them, R W It is the actual navigation reliability of underwater equipment.

6. The method according to claim 1, characterized in that The method further comprises: calculating the optimal solution of the underwater equipment reliability and performance index optimization model to obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintenance degree and optimal destruction probability of the underwater equipment; and then: Based on the optimal utilization efficiency, optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment, the one-year loading reliability, mean storage time between failures, mean actual navigation time between failures, mean loading time between failures and mean repair time of the underwater equipment are obtained.

7. An underwater equipment reliability and performance index optimization device, characterized in that: The device comprises: The model building module is used to build an optimization model for the reliability and performance index of underwater equipment based on the research and development funds, availability, use efficiency of underwater equipment when working simultaneously, storage reliability, actual navigation reliability, destruction probability and maintainability of underwater equipment; the use efficiency of underwater equipment when working simultaneously is the probability that at least one underwater equipment can destroy the target when working simultaneously; the destruction probability is the probability that the underwater equipment can destroy the enemy target when it can penetrate the enemy's interception; the maintainability is the probability of repairing the faulty underwater equipment within the specified time under the specified maintenance conditions and guarantee conditions; A model injection module is used to inject a preset availability equation, an efficiency equation for underwater equipment working simultaneously, a storage reliability equation and a practical voyage reliability equation into the underwater equipment reliability and performance index optimization model; A model optimization module is used to calculate the optimal solution of the underwater equipment reliability and performance index optimization model, and obtain the optimal actual navigation reliability, optimal storage reliability, optimal maintainability and optimal destruction probability of the underwater equipment; The usage availability equation preset in the model injection module includes: When the underwater equipment has the ability to be repaired during storage, P or =R S (t S )+[1-R S (t S )]M S (t d ) Among them, P or is the availability of underwater equipment, R S (t S ) is the storage reliability of underwater equipment, M S (t d ) is the preparation time t d The degree of maintenance to complete the maintenance task within the specified time; When the underwater equipment is not capable of maintenance during storage, Among them, every n underwater equipment is equipped with m backup underwater equipment, and each underwater equipment contains i units, P j is the probability that unit j can prepare n technical states that meet the specified performance indicators, R j (t S ) is the storage reliability of unit j within the specified storage time.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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