CN113868849A

CN113868849A - Underwater equipment reliability and performance index optimization method and device and computer equipment

Info

Publication number: CN113868849A
Application number: CN202111086463.0A
Authority: CN
Inventors: 王斗辉; 刘小西; 胡巨刚; 李劲; 曹辞海; 蔡自刚; 陆家乐
Original assignee: China Electronic Product Reliability and Environmental Testing Research Institute
Current assignee: China Electronic Product Reliability and Environmental Testing Research Institute
Priority date: 2021-09-16
Filing date: 2021-09-16
Publication date: 2021-12-31

Abstract

The application relates to a method and a device for optimizing reliability and performance indexes of underwater equipment, computer equipment and a storage medium. The method comprises the following steps: constructing an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, real navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; and injecting the use availability equation, the use efficiency equation when the underwater equipment works simultaneously, the storage reliability equation and the real navigation reliability equation into an optimization model and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the average fault interval storage time, the average fault interval real navigation time, the average fault interval loading time and the average repair time of the underwater equipment. The method can realize the coordination between the reliability index and the performance index and avoid resource waste.

Description

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

Technical Field

The application relates to the technical field of system reliability evaluation, in particular to a method and a device for optimizing reliability and performance indexes of underwater equipment, computer equipment and a storage medium.

Background

In modern application, while strict requirements on the service performance of underwater equipment are provided, higher, tighter and more complete requirements on the reliability of the underwater equipment are provided. At present, reliability engineering research and implementation are systematically carried out in China, reliability work of underwater equipment is improved, but the phenomenon of 'two skins' of reliability design and performance design is increasingly prominent, and an index system is not coordinated and becomes a fundamental influence factor. The reliability major and the performance major use two technical systems, the reliability major pays attention to the probability that the underwater equipment normally meets task requirements in the long-term use process, and the performance major pays more attention to the advancement and the task completion capability of the underwater equipment. There are also natural connections between the two: the core characteristics of the product are concerned, the characteristics are closely related to the product design, and the change of controllable design factors can cause the change of product performance indexes and reliability indexes. Reliability and performance requirements complement each other and sometimes are restricted, and the cooperative design of the two is a game balancing process. At present, the reliability index of underwater equipment proves that the reliability index is inconsistent and mainly shows that the reliability of the same type of task of underwater equipment with different models is described by different parameters; the reliability indexes of different models are not matched; the different reliability indexes of the same model are not coordinated, and the like.

In the face of the problems of the reliability and performance index system of the underwater equipment, ideas are urgently needed to be developed, successful experiences of various industries are widely used for reference, mature technologies and advanced concepts are absorbed, the use and guarantee requirements, the life cycle tasks and the environmental characteristics of the underwater equipment are deeply analyzed, the existing reliability and performance index system of the underwater equipment is combed by the system, the integrated argumentation method for the reliability and performance of the underwater equipment is researched in the face of the requirement for coordination and improvement of the reliability and performance of the underwater equipment, the underwater equipment is guided to comprehensively perfect the reliability and performance index system with good cooperativity, and a foundation is provided for the integrated improvement of the reliability and performance of the underwater equipment.

The existing demonstration system demonstrates the reliability index and the performance index as two independent parts, and specific reliability or performance index demonstration methods can be found for different equipment. For example, a reliability index demonstration method based on the requirements of expenses and no fault is provided in the text of weapon system reliability index demonstration method research; the demonstration calculation of the main performance indexes of the naval gun weapon system provides a performance index calculation method based on operational requirements.

The existing system for optimizing the reliability and performance indexes of the underwater equipment does not comprehensively consider the mutual influence of the reliability and the performance, cannot realize collaborative design, and often causes the waste of resources due to the incoordination between the reliability indexes and the performance indexes.

Disclosure of Invention

Therefore, in order to solve the above technical problems, it is necessary to provide an underwater equipment reliability and performance index optimization method, an apparatus, a computer device, and a storage medium, which can improve the coordination between the reliability index and the performance index of the underwater equipment.

A method for optimizing reliability and performance indexes of underwater equipment, comprising the following steps:

constructing an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, real navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; 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 destroy probability is the probability of destroying an enemy target under the condition that underwater equipment can resist interception of the enemy; the maintenance degree is the probability of completing repairing the failed underwater equipment within a specified time under specified maintenance conditions and guarantee conditions;

injecting a preset use availability equation, a use efficiency equation, a storage reliability equation and a real navigation reliability equation when the underwater equipment works simultaneously into the underwater equipment reliability and performance index optimization model;

and calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment, and acquiring the optimal use efficiency, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, the constraints of the underwater equipment reliability and performance index optimization model further include: the development cost of the underwater equipment is less than or equal to a preset cost threshold value;

the use availability is greater than or equal to a preset use availability threshold;

the use efficiency of the underwater equipment in simultaneous working is more than or equal to the preset use efficiency threshold value of the underwater equipment in simultaneous working;

the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset indexes.

In one embodiment, the calculating an optimal solution of the model for optimizing the reliability and performance index of the underwater equipment to obtain the optimal use performance, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment includes: using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment, and developing the cost, the use availability, the storage reliability, the practical navigation reliability, the damage probability and the maintenance degree as constraint conditions of the reliability and performance index optimization model of the underwater equipment;

and optimizing the underwater equipment reliability and performance index optimization model according to the constraint conditions to obtain the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, when the subsea equipment is serviced during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

wherein, P_orIs the availability of underwater equipment, R_S(t_S) Is the storage reliability of underwater equipment, M_S(t_d) Is a preparation time t_dThe maintenance degree of the internal completion maintenance task;

when the subsea equipment does not have service capability during storage,

wherein, every n underwater equipments are provided with m backup underwater equipments, each underwater equipment comprises i units, P_jIs the probability that the unit j can prepare n technical states satisfying a specified performance index, R_j(t_S) Is the storage reliability of cell j within a prescribed storage time.

In one embodiment, the use efficiency equation of the underwater equipment working simultaneously comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

wherein W (n) is n underwater equipments under specified conditionsProbability of firing, hit and destroy, R_CIs the loading reliability of the underwater equipment, R_WThe reliability of the real navigation task of the underwater equipment is P under the normal loading condition₁That is, the probability that underwater equipment can break through enemy interception, referred to as break through probability, P₂The probability of the underwater equipment destroying the target is referred to as the destroying probability.

In one embodiment, the real-navigation reliability equation comprises:

wherein R is_WThe real navigation reliability of the underwater equipment is obtained.

In one embodiment, the method further comprises the following steps: and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual navigation time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

An apparatus for optimizing reliability and performance metrics of subsea equipment, the apparatus comprising:

the model building module is used for building an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; 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 destroy probability is the probability of destroying an enemy target under the condition that underwater equipment can resist interception of the enemy; the maintenance degree is the probability of completing repairing the failed underwater equipment within a specified time under specified maintenance conditions and guarantee conditions;

the model injection module is used for injecting a preset use availability equation, a use efficiency equation, a storage reliability equation and a real navigation reliability equation when the underwater equipment works simultaneously into the underwater equipment reliability and performance index optimization model;

and the model optimization module is used for calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment and acquiring the optimal use efficiency, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

The method and the device for optimizing the reliability and the performance index of the underwater equipment, the computer equipment and the storage medium construct an underwater equipment reliability and performance index optimization model based on development cost, use availability of the underwater equipment, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into an underwater equipment reliability and performance index optimization model, and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the mean fault interval storage time, the mean fault interval real navigation time, the mean fault interval loading time and the mean repair time, so that the coordination between the reliability index and the performance index is realized, and the waste of resources is avoided.

Drawings

FIG. 1 is an application environment diagram of a method for optimizing reliability and performance indicators of underwater equipment in one embodiment;

FIG. 2 is a schematic flow chart of a method for optimizing reliability and performance indicators of subsea equipment in one embodiment;

FIG. 3 is a flow diagram illustrating the phase reliability and performance indicator determination process in one embodiment;

FIG. 4 is a block diagram of an embodiment of an apparatus for optimizing reliability and performance metrics of subsea equipment;

FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The method for optimizing the reliability and performance index of the underwater equipment can be applied to the application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 and the server 104 can be independently used for executing the underwater equipment reliability and performance index optimization method provided by the application respectively; the terminal 102 and the server 104 may also be used to cooperatively perform the method for optimizing the reliability and performance index of the underwater equipment provided by the present application. For example, the server 104 constructs an optimization model of the reliability and performance index of the underwater equipment based on development cost, availability of the underwater equipment, use efficiency, storage reliability, real-time navigation reliability, destruction probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; 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 destroy probability is the probability of destroying an enemy target under the condition that underwater equipment can resist interception of the enemy; the maintenance degree is the probability of completing repairing the failed underwater equipment within a specified time under specified maintenance conditions and guarantee conditions; injecting a preset use availability equation, a use efficiency equation, a storage reliability equation and a real navigation reliability equation when the underwater equipment works simultaneously into the underwater equipment reliability and performance index optimization model; and calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment, and acquiring the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.

In one embodiment, as shown in fig. 2, a method for optimizing reliability and performance indexes of underwater equipment is provided, which is described by taking the method as an example of being applied to a terminal in fig. 1, and includes the following steps:

202, constructing an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; 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 destroy probability is the probability of destroying an enemy target under the condition that underwater equipment can resist interception of the enemy; and the maintenance degree is the probability of completing repairing the failed underwater equipment within a specified time under specified maintenance conditions and guarantee conditions.

Before an optimization model of the reliability and performance indexes of the underwater equipment is constructed, the reliability and performance indexes are preliminarily determined in a demonstration stage. The method comprises the steps of forming a functional base line by confirming the use requirements of underwater equipment tasks, cooperatively developing reliability requirement demonstration, preliminarily determining a total technical scheme, preliminary development expenditure, development period and guarantee conditions, and compiling to form total equipment development requirements. Fig. 3 is a schematic diagram of a process of determining reliability and performance index of an demonstration phase in an embodiment, and as shown in fig. 3, main working contents of the reliability and performance index of the demonstration phase include: firstly, carrying out technical feasibility demonstration, comprising the following steps: analyzing and calculating main tactical technical indexes; determining a preliminary overall technical scheme; determining key technologies and solving ways; determining preliminary requirements for underwater equipment, including universal quality characteristic requirements; performing primary risk identification and estimation to determine the range of potential problems and possible solution ways; thirdly, decomposing the system, analyzing economic feasibility and pricing projects, proposing the arrangement opinions of developing total expenses and expenses of each stage, and estimating the cost and price of the product; fourthly, progress analysis is carried out, the development period is estimated, the arrangement opinion of the development period is put forward, and a development network diagram is drawn.

The comprehensive performance characteristic parameters of the underwater equipment are shown in the table 1, and comprise the destruction probability, and the indexes are related to factors such as the performance design, the task property, the qualified criterion and the like of the underwater equipment and can be determined through the performance simulation of the underwater equipment; the index is decomposed downwards, and the index is the specific functional performance index requirement of each unit of the underwater equipment and is determined by different underwater equipment design characteristics. The reliability comprehensive characteristic parameters mainly comprise the availability and the detection qualification rate. The technology and the working characteristics of the underwater equipment are comprehensively considered, the mission, the life cycle environment and the comprehensive guarantee requirements are combined, the usability and the detection qualification rate of the comprehensive characteristic parameters of the underwater equipment are converted into specific reliability design and assessment indexes of the underwater equipment according to the principles that the use parameters and the contract parameters are used in a distinguishing way and the working state and the non-working state are used in a distinguishing way, namely the basic reliability parameters of the underwater equipment and the basic reliability parameters of guarantee equipment are shown in a table 2:

TABLE 1 comprehensive characteristic parameters of underwater equipment

TABLE 2 Underwater installation reliability parameters

When the optimization model of the reliability and the performance index of the underwater equipment is constructed, the optimization model of the reliability and the performance index of the underwater equipment needs to be constructed based on development cost, use availability of the underwater equipment, use efficiency, storage reliability, practical navigation reliability, damage probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; the using efficiency of the underwater equipment during simultaneous working is the probability that at least one underwater equipment can destroy the target during simultaneous working, the destruction probability is the probability that the underwater equipment destroys the enemy target under the condition that the underwater equipment can resist interception by enemies, and the maintenance degree is the probability that the repair of the failed underwater equipment is completed within a specified time under specified maintenance conditions and guarantee conditions. The model for optimizing the reliability and performance indexes of the underwater equipment is a modeling description of the relation between the reliability and the performance indexes and is a basic means for developing the cooperative design of the reliability and the functional performance of the underwater equipment. When the reliability and the performance index are integrally demonstrated according to the underwater equipment reliability and performance index optimization model, firstly, a target value which is most expected to be reached by the underwater equipment is determined, for example, the underwater equipment has the advantages of optimal use efficiency, high use availability, optimal economy and the like. At the beginning of model demonstration, the usability is usually directly given according to the requirements of users on underwater equipment, and the reliability and other maintainability parameters are demonstrated by taking the usability as a basic basis in combination with the analysis of the task amount and the task time.

And 204, injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into the underwater equipment reliability and performance index optimization model.

Specifically, the model for optimizing the reliability and performance indexes of the underwater equipment needs to include a use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation, so that the reliability and performance indexes of the underwater equipment can be optimized integrally. And injecting a preset use availability equation, a use efficiency equation, a storage reliability equation and a real navigation reliability equation when the underwater equipment works simultaneously into the underwater equipment reliability and performance index optimization model to obtain a final underwater equipment reliability and performance index optimization model.

And step 206, calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment, and acquiring the optimal use efficiency, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

Specifically, the optimal solution of the underwater equipment reliability and performance index optimization model is calculated, the optimal real-navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment are obtained, and when the optimal solution of the underwater equipment reliability and performance index optimization model is calculated, a complex nonlinear optimization problem is formed due to the fact that objective functions and constraint conditions in the underwater equipment reliability and performance index optimization model are nonlinear functions. 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. The classical method is time-saving in calculation, but is easy to fall into a local optimal solution, the method can adopt ways such as combination of multiple search mechanisms, combination of global and local search algorithms, combination of the algorithm and the self characteristics of an optimization problem, and the like, a proper solving algorithm is selected according to the data condition of a model to obtain a solution meeting the requirements of the model for optimizing the reliability and performance indexes of the underwater equipment, the number of the solution can be multiple, the optimal solution is selected according to engineering experience, and the requirements of each index in the model are determined and serve as the requirements of the reliability and performance indexes of the underwater equipment.

In the method for optimizing the reliability and performance index of the underwater equipment, an optimization model of the reliability and performance index of the underwater equipment is constructed based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, damage probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into an underwater equipment reliability and performance index optimization model, and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the mean fault interval storage time, the mean fault interval real navigation time, the mean fault interval loading time and the mean repair time, so that the coordination between the reliability index and the performance index is realized, and the waste of resources is avoided.

In one embodiment, 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 value;

the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset index ranges.

Specifically, when an optimization model of the reliability and performance indexes of the underwater equipment is constructed, considering that development cost of the underwater equipment generally increases along with the improvement of the reliability index requirement and the functional performance index requirement, a functional relation between the development cost and the reliability and performance indexes, namely a center (cost Estimate relationship) model, needs to be analyzed and established, and a common method for establishing the CER model comprises the following steps: linear regression analysis: and establishing a linear function relation between the parameters and the cost by using a linear regression method. This method is suitable for use where the relationship between parameters and cost is substantially linear. Nonlinear regression analysis: a nonlinear regression method is used for establishing a nonlinear relation model between the parameters and the cost, such as a (power) exponential relation, a logarithmic relation and the like. ③ artificial neural network: for a special unknown CER relation model, an artificial neural network model can be trained by historical cost data to obtain a parameter cost relation model based on the neural network. Support vector machine: and (4) establishing a CER model by using a support vector machine method. Expert experience formula: the basic form of the CER model is established from expert experience.

The constraint conditions of the underwater equipment reliability and performance index optimization model comprise: the development cost of the underwater equipment is less than or equal to a preset cost threshold value; the use availability is greater than or equal to a preset use availability threshold; the use efficiency of the underwater equipment in simultaneous working is more than or equal to the use efficiency of the preset underwater equipment in simultaneous workingA performance threshold; the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset indexes. For example, given a certain type of underwater equipment development, a given development cost C₀The availability of use is required to be not less than P_orThe method requires that index demonstration is carried out by using the optimal performance (not less than W (1)), and the integrated demonstration optimization model for determining the reliability and performance indexes is as follows:

max W(1)

s.t.C≤C₀

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)≥P_or*

W(1)＝R_CR_WP₂＝R_S(t_S＝2t_C)R_WP₂≥W(1)*

M_S(t_d＝t₀)≥M_S*

considering the cost constraint, the model can be optimized as:

max W(1)

s.t.C＝f(P_or,P₂)≤C₀

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)≥P_or*

W(n)≥W(n)*

M_S(t_d＝t₀)≥M_S*

W(1)＝R_CR_WP₂＝R_S(t_S＝2t_C)R_WP₂

W(n)＝1-(1-W(1))ⁿ

wherein:

f(P_or,P₂) -the cost function representing the availability and the destruction probability is determined by the manufacturing costs of the raw materials, components, etc. required to achieve the specified reliability and performance indicators;

R_S(t_S) Storage of underwater equipment t_SReliable storage of timeDegree, according to the characterization requirement, usually t_SCan take values within 0.5 a-3.0 a;

R_C(t_C) Underwater equipment loading t_CReliability of loading over time, typically t, according to characterization requirements_CCan take values within 0.5 a-1.5 a;

R_Wunder the normal loading condition of the underwater equipment, the reliability of the real navigation task of the underwater equipment is ensured;

P₂-the destruction probability of the underwater equipment; the method is related to factors such as performance design, task property and qualification criterion of underwater equipment, and is determined by performance simulation of the underwater equipment;

t_S-storage time;

t_C-a loading time;

M_S(t_d) Degree of maintenance, i.e. at specified time t under specified maintenance and guarantee conditions_dProbability of completing the task of repairing the failed underwater equipment;

M_Smaintenance minimum acceptable value;

t₀the time allowed to be delayed for repair is understood here as the maximum time allowed from the receipt of a repair subsea equipment order to the completion of a subsea equipment repair.

In the embodiment, the construction of the underwater equipment reliability and performance index optimization model is realized by setting the constraint conditions of the underwater equipment reliability and performance index optimization model, the coordination between the reliability index and the performance index is realized when the underwater equipment index is optimized, and the waste of resources is avoided.

In one embodiment, the calculating an optimal solution of the model for optimizing the reliability and performance index of the underwater equipment to obtain the optimal use efficiency, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment includes:

using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment; the development cost, the availability, the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree of the underwater equipment are taken as constraint conditions of the reliability and performance index optimization model of the underwater equipment;

and optimizing the underwater equipment reliability and performance index optimization model according to the optimization target to obtain the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

Specifically, when calculating the optimal solution of the optimization model of the reliability and performance index of the underwater equipment, the use efficiency of the underwater equipment when working simultaneously is taken as the optimization target of the optimization model of the reliability and performance index of the underwater equipment; at least one of development cost, use availability, use efficiency of the underwater equipment during simultaneous working, storage reliability, practical navigation reliability, damage probability and maintenance degree is used as an optimization target constraint condition of the underwater equipment reliability and performance index optimization model; and finally, optimizing the reliability and performance index optimization model of the underwater equipment according to the optimization target and the constraint condition to obtain the optimal use efficiency, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment. For example, assuming that the purchase cost of a single underwater device is not more than 1100 ten thousand, and referring to past model experience, the following is required for part of the indexes:

practical navigation reliability R_W(t_W): the actual navigation reliability specification value is not less than 0.92, and the lowest acceptable value is not less than 0.75 (the confidence coefficient is 0.8);

(degree of reliability of Loading R)_C(t_C): after loading on the ship for 1 year, the specified value is not less than 0.93, and the lowest acceptable value is not less than 0.8 (confidence 0.8);

storage reliability R_S(t_S): under the storage condition of a warehouse, normal maintenance and inspection are carried out according to requirements, the storage is carried out for 2 years, the specified value is not less than 0.90, and the lowest acceptable value is not less than 0.8 (confidence coefficient is 0.8);

maintainability M (t)_d): under the maintenance guarantee condition of the storage warehouse, the probability of repairing the underwater equipment within 2 hours is not lower than 0.8 (the confidence coefficient is 0.8). In view of the purposeAt the former industrial level, the maintenance value does not exceed 0.9.

Probability of destruction P₂: the probability that the underwater equipment can successfully work is not less than 0.9;

sixthly, determining the cost function as an exponential relation C to C by referring to the cost condition of the past model₀exp(0.02P_or+0.08P₂)；

The using availability is not lower than 0.95;

and according to the previous model experience, setting the constraint condition of each reliability index to be 0.95.

The use efficiency W (6) of 6 underwater equipment working simultaneously is required to be not less than 0.995, index demonstration is carried out by optimally using the single use efficiency W (1), and the reliability and performance index optimization model of the underwater equipment is determined as follows:

max W(1)

s.t.C＝1000*exp(0.02P_or+0.08P₂)≤1100

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)≥0.95

W(6)＝1-(1-W(6))²≥0.95

0.95≥R_S(t_S)≥0.9

0.95≥R_W(t_W)≥0.9

0.95≥P₂≥0.9

0.9≥M_S(t_d2 hours) not less than 0.8

Having R in the model_S、R_W、M_SAnd P₂Four variables, which are typical mixed nonlinear programming problems, are solved by the newton method and the conjugate method, and the determined optimal solution is shown in table 4. The lowest acceptable value is the optimization principle of the lower limit requirement that the using efficiency of 6 stations is closest to 0.995, and the specified value is the optimization principle of the maximization of the using efficiency of 6 stations.

Table 4 index demonstration optimization solution results

In the embodiment, the use efficiency of the underwater equipment when simultaneously working is taken as the optimization target of the reliability and performance index optimization model of the underwater equipment; at least one of development cost, use availability, use efficiency of the underwater equipment during simultaneous working, storage reliability, real-time navigation reliability, damage probability and maintenance degree is used as an optimization target constraint condition of the underwater equipment reliability and performance index optimization model, the underwater equipment reliability and performance index optimization model is optimized according to the optimization target and the constraint condition, the optimal use efficiency, the optimal real-time navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment are obtained, coordination between the reliability index and the performance index is realized, and resource waste is avoided.

In one embodiment, the preset usage availability equation comprises: when the subsea equipment is in service during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

when the subsea equipment does not have service capability during storage,

In particular, the availability equation includes both when service is available during storage of the subsea equipment and when service is not available during storage of the subsea equipment, when service is available during storage of the subsea equipment,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

wherein, P_orIs the availability of underwater equipment, R_S(t_S) Is the storage reliability of underwater equipment, M_S(t_d) Is a preparation time t_dThe maintenance degree of the maintenance task is completed.

In the event that the subsea equipment does not have field service capability during storage, the failed unit needs to be replaced to ensure availability of the subsea equipment. The technical preparation work of the underwater equipment needs to prepare n pieces of equipment once, and m backup underwater equipment are required to be prepared for every n pieces of underwater equipment in order to ensure the usability of the underwater equipment. The method is characterized in that a single set of underwater equipment is composed of one unit, the one unit of the underwater equipment is respectively detected when the underwater equipment technology is prepared, and when the technical state of a certain unit does not meet the specified functional performance index requirement, the certain unit is replaced by a backup unit.

Let R be_i(i-1, 2, …, m) is the storage reliability of the i-th unit of the underwater equipment within a specified storage time (two-time timing detection interval). The storage reliability of the underwater equipment is:

in one-time technical preparation, each unit of n underwater equipment needs to be detected, and when the technical state of each unit does not meet the specified functional performance index requirement, a standby unit is replaced; the probability that unit j can prepare n technical states to meet the specified functional performance index is:

wherein, Y_jIs that the technical state satisfies the rule in the first detected n units jDetermining the number of functional performance index requirements; z_jThe number of the m backup units j in which the technical state meets the specified functional performance index requirement.

In one technical preparation process, the availability of n underwater equipment can be prepared as follows:

the loading state of the underwater equipment is basically consistent with the storage state of the underwater equipment, and the environment is slightly different, so that the reliability index of the device can be demonstrated together on the basis of the storage reliability index of the underwater equipment. Although the storage environment and the loading environment are different, the storage environment and the loading environment are comparable, so that the storage reliability and the loading reliability have strong correlation. According to the index value of foreign underwater equipment and the verification result of domestic underwater equipment, compared with loading and storage, the environmental influence factors are in a relation of about 2 times. The conversion to the reliability index is approximated by:

R_C(t_C)＝R_S(t_S＝2t_C)

the underwater equipment belongs to a large-scale complex electromechanical system, the failure rule of the underwater equipment is approximately in an exponential relation, and therefore, the storage reliability R_S(t_S) And mean time between failures T_BSFThere is the following approximate relationship:

R_S(t_S)＝exp(-t_S/T_BSF)

In one embodiment, the use efficiency equation when the underwater equipment works simultaneously comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

wherein W (n) is the probability that n underwater equipments transmit under the specified conditions, hit the target and destroy the target, R_CIs the loading reliability of the underwater equipment, R_WThe reliability of the real navigation task of the underwater equipment is P under the normal loading condition₁That is, the probability that underwater equipment can break through enemy interception, referred to as break through probability, P₂The probability of the underwater equipment destroying the target is referred to as the destroying probability.

Specifically, in order to determine the reliability of tasks such as real navigation of the underwater equipment, the reliability of tasks such as real navigation of the underwater equipment is determined by an effectiveness analysis method on the basis of fully considering the performance, the survival capability, the task execution capability, the equipment allocation and other factors of the underwater equipment according to the technical requirements of the underwater equipment. The underwater equipment system efficiency parameter comprehensively reflects the factors. If an underwater device is used for transmitting under a specified condition, the probability W (1) of hitting a target and destroying the target is set as follows:

W(1)＝R_CR_WP₁P₂

according to the actual combat requirement of the underwater equipment, the n underwater equipment simultaneously work on the same enemy target to ensure that at least one underwater equipment destroys the target, and at the moment, the probability that the n underwater equipment can destroy the enemy target is as follows:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

The reliability of the actual navigation task of the underwater equipment is limited by the loading reliability, the penetration prevention capability and the attack capability of the underwater equipment. For simplicity, if the enemy interception problem is not considered, the penetration probability is P₁1, the system efficiency of the underwater equipment is:

W(n)＝1-(1-R_CR_WP₂)ⁿ

In one embodiment, the real-voyage reliability equation comprises:

Specifically, in order to determine the real-time mission reliability of the underwater equipment, the loading reliability and the damage probability must be estimated, and the actual mission reliability and the damage probability can be predicted according to historical data in the scheme demonstration stage. After the loading reliability and the damage probability are obtained, the real-navigation reliability equation of the underwater equipment can be obtained. Given the effectiveness of the underwater equipment system, the real navigation reliability of the underwater equipment can be given by the formula. It should be noted, however, that this is more aggressive since the penetration probability is not considered in the above equation. If the factor of preventing the interception of the enemy is considered, the actual navigation reliability of the underwater equipment needs to be improved under the condition that the requirement of the efficiency of the underwater equipment system is not reduced.

In one embodiment, the calculating an optimal solution of the model for optimizing the reliability and performance index of the underwater equipment to obtain an optimal real-aviation reliability, an optimal storage reliability, an optimal maintenance degree, and an optimal damage probability of the underwater equipment further includes:

and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual navigation time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

Specifically, the one-year loading reliability, the mean fault interval storage time, the mean fault interval actual flight time, the mean fault interval loading time and the mean repair time of the underwater equipment are calculated and obtained according to formulas corresponding to the optimal actual flight reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment and the one-year loading reliability, the mean fault interval storage time, the mean fault interval actual flight time, the mean fault interval loading time and the mean repair time of the underwater equipment, and the calculation formulas are shown in the determination principle in table 5:

TABLE 5 results of other index calculations

According to the optimal actual voyage reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment in the table 4, the loading one-year reliability, the mean fault interval storage time, the mean fault interval actual voyage time, the mean fault interval loading time and the mean repair time of the corresponding underwater equipment can be obtained as shown in the optimization results in the table 5.

In the embodiment, the loading one-year reliability, the mean fault interval storage time, the mean fault interval actual flight time, the mean fault interval loading time and the mean repair time of the underwater equipment are obtained based on the optimal actual flight reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment, the workload of a large number of iterative computation performance index requirements, reliability index requirements and expenditure requirements is reduced, and a scheme with strong engineering practicality is provided for an index system with highly coordinated reliability, performance indexes and expenditure requirements.

It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.

In one embodiment, as shown in fig. 4, there is provided an apparatus for optimizing reliability and performance indexes of underwater equipment, comprising: a model building module 401, a model injection module 402 and a model optimization module 403, wherein:

the model building module 401 is used for building an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; 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 destroy probability is the probability of destroying an enemy target under the condition that underwater equipment can resist interception of the enemy; and the maintenance degree is the probability of completing repairing the failed underwater equipment within a specified time under specified maintenance conditions and guarantee conditions.

And the model injection module 402 is used for injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into the underwater equipment reliability and performance index optimization model.

And the model optimization module 403 is configured to calculate an optimal solution of the reliability and performance index optimization model of the underwater equipment, and obtain an optimal use efficiency, an optimal actual navigation reliability, an optimal storage reliability, an optimal maintenance degree, and an optimal damage probability of the underwater equipment.

In one embodiment, the constraints of the model for optimizing the reliability and performance index of the underwater equipment in the model building module 401 include: the development cost of the underwater equipment is less than or equal to a preset cost threshold value; the use availability is greater than or equal to a preset use availability threshold; the use efficiency of the underwater equipment in simultaneous working is more than or equal to the preset use efficiency threshold value of the underwater equipment in simultaneous working; the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset indexes.

In one embodiment, the model optimization module 403 is further configured to: using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment, and developing the cost, the use availability, the storage reliability, the practical navigation reliability, the damage probability and the maintenance degree as constraint conditions of the reliability and performance index optimization model of the underwater equipment; and optimizing the underwater equipment reliability and performance index optimization model according to the constraint conditions to obtain the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, the predetermined usage availability equation in the model injection module 402 includes:

when the subsea equipment is in service during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

wherein, P_orIs the availability of underwater equipment, R_S(t_S) Is the storage reliability of underwater equipment, M_S(t_d) Is a preparation time t_dInternal finishing dimensionThe maintenance degree of the maintenance task;

when the subsea equipment does not have service capability during storage,

In one embodiment, the performance equation for the model injection module 402 when the underwater equipment is working simultaneously comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

In one embodiment, the real-navigation reliability equation in the model injection module 402 includes:

In one embodiment, the model optimization module 403 is further configured to: and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual navigation time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

The device for optimizing the reliability and performance indexes of the underwater equipment constructs an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, damage probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into an underwater equipment reliability and performance index optimization model, and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the mean fault interval storage time, the mean fault interval real navigation time, the mean fault interval loading time and the mean repair time, so that the coordination between the reliability index and the performance index is realized, and the waste of resources is avoided.

For specific limitations of the underwater equipment reliability and performance index optimization device, reference may be made to the above limitations of the underwater equipment reliability and performance index optimization method, which are not described herein again. All modules in the underwater equipment reliability and performance index optimizing device can be completely or partially realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for optimizing reliability and performance indicators of underwater equipment.

Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

and calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment, and acquiring the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, the constraints of the model for optimizing the reliability and performance indicators of the underwater equipment 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 value; the use availability is greater than or equal to a preset use availability threshold; the use efficiency of the underwater equipment in simultaneous working is more than or equal to the preset use efficiency threshold value of the underwater equipment in simultaneous working; the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset indexes.

In one embodiment, the processor, when executing the computer program, further performs the steps of: using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment, and developing the cost, the use availability, the storage reliability, the practical navigation reliability, the damage probability and the maintenance degree as constraint conditions of the reliability and performance index optimization model of the underwater equipment; and optimizing the underwater equipment reliability and performance index optimization model according to the constraint conditions to obtain the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, the use of the availability equation when the computer program is executed by the processor comprises:

when the subsea equipment is in service during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

when the subsea equipment does not have service capability during storage,

In one embodiment, the use efficiency equation for simultaneous operation of underwater equipment when the processor executes the computer program comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

In one embodiment, the equations for the reliability of the navigation when the processor executes the computer program include:

In one embodiment, the processor, when executing the computer program, further performs the steps of: and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual navigation time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

The computer equipment constructs an optimization model of the reliability and performance indexes of the underwater equipment based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of the underwater equipment when the underwater equipment works simultaneously; injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into an underwater equipment reliability and performance index optimization model, and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the mean fault interval storage time, the mean fault interval real navigation time, the mean fault interval loading time and the mean repair time, so that the coordination between the reliability index and the performance index is realized, and the waste of resources is avoided.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the constraints of the model for optimizing the reliability and performance indicators of the underwater equipment when the computer program is executed by the processor include: the development cost of the underwater equipment is less than or equal to a preset cost threshold value; the use availability is greater than or equal to a preset use availability threshold; the use efficiency of the underwater equipment in simultaneous working is more than or equal to the preset use efficiency threshold value of the underwater equipment in simultaneous working; the storage reliability, the actual navigation reliability, the damage probability and the maintenance degree are respectively limited within preset indexes.

In one embodiment, the computer program when executed by the processor further performs the steps of: using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment, and developing the cost, the use availability, the storage reliability, the practical navigation reliability, the damage probability and the maintenance degree as constraint conditions of the reliability and performance index optimization model of the underwater equipment; and optimizing the underwater equipment reliability and performance index optimization model according to the constraint conditions to obtain the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

In one embodiment, the computer program when executed by the processor uses the availability equation comprising:

when the subsea equipment is in service during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

when the subsea equipment does not have service capability during storage,

whereinEvery n underwater equipments are equipped with m backup underwater equipments, each underwater equipment contains i units, P_jIs the probability that the unit j can prepare n technical states satisfying a specified performance index, R_j(t_S) Is the storage reliability of cell j within a prescribed storage time.

In one embodiment, the use efficiency equation for simultaneous operation of underwater equipment when the computer program is executed by the processor comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

In one embodiment, the real-time reliability equation when the computer program is executed by the processor comprises:

In one embodiment, the computer program when executed by the processor further performs the steps of: and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual navigation time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

The storage medium is used for constructing an underwater equipment reliability and performance index optimization model based on development cost, use availability, use efficiency, storage reliability, practical navigation reliability, destruction probability and maintenance degree of underwater equipment when the underwater equipment works simultaneously; injecting a preset use availability equation, a use efficiency equation when the underwater equipment works simultaneously, a storage reliability equation and a real navigation reliability equation into an underwater equipment reliability and performance index optimization model, and calculating an optimal solution to obtain the optimal use efficiency, the optimal real navigation reliability, the optimal storage reliability, the optimal maintenance degree, the optimal damage probability, the one-year loading reliability of the underwater equipment, the mean fault interval storage time, the mean fault interval real navigation time, the mean fault interval loading time and the mean repair time, so that the coordination between the reliability index and the performance index is realized, and the waste of resources is avoided.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method for optimizing reliability and performance indexes of underwater equipment is characterized by comprising the following steps:

2. The method of claim 1, wherein the constraints of the subsea equipment reliability and performance indicator optimization model comprise:

the development cost of the underwater equipment is less than or equal to a preset cost threshold value;

3. The method of claim 2, wherein the calculating an optimal solution of the model for optimizing the reliability and performance index of the underwater equipment to obtain the optimal performance, the optimal practical navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment comprises:

using the use efficiency of the underwater equipment when the underwater equipment works simultaneously as an optimization target of the reliability and performance index optimization model of the underwater equipment, and developing the cost, the use availability, the storage reliability, the practical navigation reliability, the damage probability and the maintenance degree as constraint conditions of the reliability and performance index optimization model of the underwater equipment;

4. The method of claim 1, wherein the preset usage availability equation comprises:

when the subsea equipment is in service during storage,

P_or＝R_S(t_S)+[1-R_S(t_S)]M_S(t_d)

when the subsea equipment does not have service capability during storage,

5. The method of claim 1, wherein the use efficiency equation for the subsea equipment operating simultaneously comprises:

W(n)＝1-[1-W(1)]ⁿ＝1-(1-R_CR_WP₁P₂)ⁿ

W(1)＝R_CR_WP₁P₂

6. The method of claim 1, wherein the real-voyage reliability equation comprises:

7. The method according to claim 1, wherein the calculating of the optimal solution of the model for optimizing the reliability and performance index of the underwater equipment obtains the optimal real-voyage reliability, the optimal storage reliability, the optimal maintenance degree and the optimal destruction probability of the underwater equipment, and then further comprises:

and acquiring the loading one-year reliability, the average fault interval storage time, the average fault interval actual flight time, the average fault interval loading time and the average repair time of the underwater equipment based on the optimal use efficiency, the optimal practical flight reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

8. An apparatus for optimizing reliability and performance metrics of underwater equipment, the apparatus comprising:

and the model optimization module is used for calculating the optimal solution of the reliability and performance index optimization model of the underwater equipment and acquiring the optimal actual navigation reliability, the optimal storage reliability, the optimal maintenance degree and the optimal damage probability of the underwater equipment.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.