A reliability simulation evaluation method and system for complex hybrid systems

Abstract

The present invention discloses a reliability simulation evaluation method and system for a complex hybrid system, which belongs to the field of ship system reliability evaluation, and includes: decomposing the reliability model of the complex hybrid system into a combination of reliability models of each single system; in any simulation task, calculating the reliability index of each device, performing logical operations on the reliability index of each device in each single system virtual unit, obtaining the reliability index of each single system virtual unit, calculating the reliability index of all single system virtual units, obtaining the reliability index of the reliability model in any simulation task, repeating the simulation task several times, obtaining the reliability index set of the reliability model in all simulation tasks as a simulation evaluation sample set; and statistically analyzing the reliability index of the simulation evaluation sample set to realize reliability evaluation. The present invention can reduce the difficulty of ship system simulation evaluation and ensure the accuracy of evaluation at the same time.

Description

Technical Field

[0001] The present invention belongs to the technical field of reliability assessment of complex hybrid systems of ships, and more specifically, relates to a reliability simulation assessment method and system. Background Art

[0002] Compared with general large equipment, ship equipment has the characteristics of long mission cycle, many dangerous environments, and long-term distance from the dock, which leads to the lack of shore support in the event of a failure. Therefore, when an important component fails, it may cause the boat to be destroyed and people to die. Therefore, its reliability level is required to be higher than other large equipment. In order to improve the reliability level of ship equipment, designers often use cold backup and hot backup designs in large quantities, making the system composed of various typical structures such as series, parallel, bypass, and voting, which makes it difficult to implement system reliability assessment, or the "credibility" of the assessment after the system is simplified is extremely low. Inaccurate assessment results can easily lead to a lack of design input support for reliability design work, making it difficult to smoothly implement the reliability design and analysis of ship equipment.

[0003] At present, the traditional system reliability assessment method is a mathematical analytical method. This method uses the task reliability block diagram to derive the system's task reliability analytical formula, and then calculates the system's task reliability value through the indicators of the system's component equipment. The key to this method is the derivation of the system's task reliability analytical formula. For the mixed systems that are widely present in ship equipment, such as the side-by-side and voting systems composed of different equipment, the side-by-side and voting systems of series-parallel equipment and other equipment, the derivation of the analytical formula of the system's task reliability requires extensive use of integral or convolution methods, which has high mathematical requirements and high technical difficulty in implementation, and is difficult to popularize in engineering applications.

[0004] In summary, although the existing technology can evaluate the reliability of complex hybrid systems, it still has some shortcomings. Therefore, reducing the difficulty of implementing reliability evaluation and ensuring the accuracy of the evaluation effect will be a new topic for simulation evaluation of complex hybrid systems. Summary of the invention

[0005] In view of the defects of the prior art, the present invention provides a reliability assessment method and system, which solves the technical problems of the prior art that the mathematical requirements are high, the implementation technology is difficult, and it is difficult to popularize in engineering applications.

[0006] To achieve the above object, the present invention provides a reliability simulation evaluation method, comprising the following steps:

[0007] (1) Steps for constructing a reliability model of a complex hybrid system: A complex hybrid system contains several single systems. The reliability model of the complex hybrid system is decomposed into a combination of various single system reliability models.

[0008] (2) Obtaining a simulation evaluation sample set of a complex hybrid system reliability model: using a random number generation method to generate random variables for each device in any simulation task, calculating the random variables to obtain a reliability index for each device, calculating the reliability indexes of all devices in various single system reliability models to obtain reliability indexes of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain a reliability index of the complex hybrid system reliability model in any simulation task, repeating the simulation task several times to obtain a set of reliability indexes of the complex hybrid system reliability model in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system;

[0009] (3) Reliability assessment steps for complex hybrid systems: Calculate the reliability index of the simulation assessment sample set of the reliability model of the complex hybrid system to achieve reliability assessment.

[0010] In an optional embodiment, the step of constructing a reliability model of a complex hybrid system is specifically as follows:

[0011] A complex hybrid system includes a combination of one or more single systems in series system, parallel system, bypass system and voting system. The reliability model of the complex hybrid system is decomposed into a combination of one or more single system reliability models. Each single system reliability model is represented by a virtual unit, namely, a series system virtual unit, a parallel system virtual unit, a bypass system virtual unit and a voting system virtual unit.

[0012] In an optional embodiment, the step of obtaining a complex hybrid system reliability model simulation evaluation sample set is specifically:

[0013] If there is a complex hybrid system composed of success-failure type devices, in any simulation task, a random variable of each success-failure type device is generated by using a random number generation method, and the random variables are compared with the success rate of the operation of the success-failure type devices in turn to obtain the operation status of each success-failure type device, and the complex hybrid system is decomposed level by level to obtain the bottom subsystem, and a logical operation is performed on the operation status of the success-failure type devices in each single system virtual unit in the bottom subsystem to obtain the operation status of each single system virtual unit, and the operation status of all single system virtual units is calculated to obtain the operation status of the bottom subsystem, and the operation status of the upper layer system is calculated in the same way until the operation status of the complex hybrid system is obtained;

[0014] If there is a complex hybrid system composed of life-type devices, in any simulation task, a random number generation method is used to generate random variables for each life-type device, and the random variables are calculated to obtain the normal working time of each life-type device. The complex hybrid system is decomposed level by level to obtain the underlying subsystem, and logical operations are performed on the normal working time of the life-type devices in each single system virtual unit in the underlying subsystem to obtain the normal working time of each single system virtual unit. The normal working time of all single system virtual units is calculated to obtain the normal working time of the underlying subsystem, and the normal working time of the upper system is calculated in the same way until the normal working time of the complex hybrid system is obtained.

[0015] In an optional embodiment, the operation status of the success / failure type devices in each single system virtual unit in the bottom subsystem is logically operated to obtain the operation status of each single system virtual unit, specifically:

[0016] For the virtual unit of the serial system, if the operation status of all the success-failure type devices is success, the operation status of the virtual unit of the serial system is success, otherwise it is failure;

[0017] For the parallel system virtual unit, if the operation status of at least one success-failure type device is successful, the operation status of the parallel system virtual unit is successful, otherwise it is failed;

[0018] For the bypass system virtual unit, as long as there is another success-failure type device whose operation status is successful, the operation status of the bypass system virtual unit is successful, otherwise it is a failure;

[0019] For the voting system virtual unit, if the operation status of the success-failure type device being voted is success, the operation status of the voting system virtual unit is success, otherwise it is failure.

[0020] In an optional embodiment, the normal working time of the life-type equipment in each single system virtual unit in the bottom subsystem is logically calculated to obtain the normal working time of each single system virtual unit, specifically:

[0021] For the virtual unit of the series system, its normal operation time is the minimum value of the normal operation time of each life type equipment:

[0022] For the virtual unit of the parallel system, its normal operating time is the maximum value of the normal operating time of each life-type device:

[0023] For the virtual unit of the bypass system, its normal operation time is the sum of the normal operation time of each life-type equipment:

[0024] For the virtual unit of the voting system, its normal operating time is the normal operating time of the life-type equipment being voted.

[0025] Another object of the present invention is to provide a reliability simulation evaluation system, comprising the following units:

[0026] Construct reliability model unit of complex hybrid system: complex hybrid system contains several single systems, and the reliability model of complex hybrid system is decomposed into a combination of various single system reliability models;

[0027] A unit for obtaining a simulation evaluation sample set of a reliability model of a complex hybrid system: using a random number generation method to generate random variables of each device in any simulation task, calculating the random variables to obtain the reliability index of each device, calculating the reliability index of all devices in various single system reliability models to obtain the reliability index of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain the reliability index of the reliability model of the complex hybrid system in any simulation task, repeating the simulation task several times to obtain a set of reliability indexes of the reliability model of the complex hybrid system in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system;

[0028] Complex hybrid system reliability assessment unit: calculates the reliability index of the simulation assessment sample set of the reliability model of the complex hybrid system to achieve reliability assessment.

[0029] In an optional embodiment, the unit for obtaining a complex hybrid system reliability model simulation evaluation sample set includes the following subunits:

[0030] A simulation evaluation sample set subunit of a reliability model of a complex hybrid system composed of success / failure type devices is obtained: in any simulation task, a random variable of each success / failure type device is generated by using a random number generation method, the random variables are compared with the success rate of the operation of the success / failure type devices in turn, and the operation status of each success / failure type device is obtained, the complex hybrid system is decomposed level by level to obtain the bottom subsystem, a logical operation is performed on the operation status of the success / failure type devices in each single system virtual unit in the bottom subsystem to obtain the operation status of each single system virtual unit, the operation status of all single system virtual units is calculated to obtain the operation status of the bottom subsystem, and the operation status of the upper system is calculated in the same way until the operation status of the complex hybrid system is obtained;

[0031] A simulation evaluation sample set subunit of a reliability model of a complex hybrid system composed of life-type devices is obtained: in any simulation task, a random number generation method is used to generate random variables for each life-type device, and the normal working time of each life-type device is obtained by calculation, and the complex hybrid system is decomposed level by level to obtain the underlying subsystem, and logical operations are performed on the normal working time of the life-type devices in each single system virtual unit in the underlying subsystem to obtain the normal working time of each single system virtual unit, and the normal working time of all single system virtual units is calculated to obtain the normal working time of the underlying subsystem, and the normal working time of the upper system is calculated in the same way until the normal working time of the complex hybrid system is obtained.

[0032] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0033] The present invention utilizes random variables generated by a random number generation method to simulate the reliability index of equipment in a complex hybrid system, and simultaneously decomposes the reliability model of the complex hybrid system into a combination of one or more single system reliability models in a series system reliability model, a parallel system reliability model, a bypass system reliability model, and a judgment system reliability model, and decomposes the calculation of the reliability index of the complex hybrid system reliability model into the calculation of the reliability index of each single system reliability model, thereby reducing the difficulty of reliability evaluation of the complex hybrid system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of the reliability simulation evaluation method of a complex hybrid system of the present invention;

[0035] Figure 2 is a flow chart of an embodiment of the present invention;

[0036] FIG3( a ) is a single system reliability model of an embodiment of the present invention;

[0037] FIG3( b ) is an example of a reliability model of a complex hybrid system according to an embodiment of the present invention;

[0038] FIG4( a ) is an example of a complex series-parallel system composed of life-type devices according to an embodiment of the present invention;

[0039] FIG. 4( b ) is a simulation result of an example of a complex series-parallel system composed of life-type devices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention 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 invention and are not intended to limit the present invention.

[0041] Figure 1 Flow chart of the reliability simulation evaluation method of the complex hybrid system of the present invention, as shown in Figure 1 As shown, the following steps are included:

[0042] (1) Steps for constructing a reliability model of a complex hybrid system: A complex hybrid system contains several single systems. The reliability model of the complex hybrid system is decomposed into a combination of various single system reliability models.

[0043] (2) Obtaining a simulation evaluation sample set of a complex hybrid system reliability model: using a random number generation method to generate random variables for each device in any simulation task, calculating the random variables to obtain a reliability index for each device, calculating the reliability indexes of all devices in various single system reliability models to obtain reliability indexes of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain a reliability index of the complex hybrid system reliability model in any simulation task, repeating the simulation task several times to obtain a set of reliability indexes of the complex hybrid system reliability model in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system;

[0044] (3) Reliability assessment steps for complex hybrid systems: Calculate the reliability index of the simulation assessment sample set of the reliability model of the complex hybrid system to achieve reliability assessment.

[0045] Specifically, the environment-aware network optimization method provided by the present invention is as follows: Figure 2 is a flow chart of an embodiment of the present invention; Figure 2 As shown, the following steps are included:

[0046] (1) Steps to construct a reliability model for a complex hybrid system.

[0047] The reliability model of the complex hybrid system includes a combination of one or more single system reliability models among the series system reliability model, parallel system reliability model, bypass system reliability model, and voting system reliability model. The reliability models of each single system are shown in Figure 3(a).

[0048] A complex hybrid system can be decomposed layer by layer to obtain a multi-level system, and each level of the system contains a combination of one or more single system reliability models.

[0049] As shown in Figure 3(b), the bottom subsystem A1 only includes the series system, subsystem A includes the combination of the series system and the parallel system, and the complex hybrid system includes the combination of the series system, the parallel system and the bypass system.

[0050] (2) Obtain the steps for simulation evaluation of the reliability model of a complex hybrid system consisting of success-failure type equipment.

[0051] (2.1) Obtain the operating status sub-step of each success or failure type device in any simulation task.

[0052] In any simulation task, the number of success / failure devices is N, and the random number generation method is used to generate N random variables (r1,…,r N ), compare the random variables with the success rate P of the success-failure type equipment in turn, and obtain the operating status S of each success-failure type equipment i :

[0053]

[0054] Among them, i is the serial number of the success-failure type equipment in the reliability model, and P is the success rate of the success-failure type equipment operation, which is an inherent attribute of the equipment.

[0055] (2.2) Obtain the sub-step of the operating status of each single system virtual unit in any simulation task.

[0056] The complex hybrid system is decomposed level by level to obtain the bottom-level subsystem, and the operating status of each single system virtual unit in the bottom-level subsystem is calculated.

[0057] For a series connection of system virtual units, if the operating status of all devices is successful, the operating status S1 of the series connection of system virtual units is successful, otherwise it is a failure.

[0058] If at least one device of the virtual unit of the parallel system is in a successful operation state, the operation state S2 of the virtual unit of the parallel system is successful, otherwise it is a failure.

[0059] For the virtual unit of the bypass system, as long as one of the devices is in a successful operation state, the operation state S3 of the virtual unit of the bypass system is successful, otherwise it is a failure.

[0060] For the virtual unit of the voting system, if the operation status of the voted device is successful, then the operation status S4 of the virtual unit of the voting system is successful, otherwise it is a failure.

[0061] (2.3) Obtain the operating status sub-step of the reliability model in any simulation task.

[0062] The operating status of all single system virtual units in the bottom subsystem is calculated to obtain the operating status S of the bottom subsystem:

[0063] S=f(S1,S2,S3,S4)

[0064] Wherein, f is a function for calculating the operating status of all single system virtual units.

[0065] Similarly, the upper layer system of the bottom subsystem is decomposed into a combination of one or more single system virtual units among series system virtual units, parallel system virtual units, side-connected system virtual units, and hybrid system virtual units. The method in step (2.2) is used to calculate the operating status of each single system virtual unit in the upper layer system. Then, the operating status of the upper layer system is calculated based on the operating status of each single system virtual unit. Through continuous iteration, the operating status SS of the complex hybrid system is finally obtained. x , SS x As the running state of the reliability model in any one simulation task.

[0066] Wherein x represents the sequence number of the simulation task of any one complex hybrid system.

[0067] (2.4) Obtain the simulation evaluation sample set sub-step of the complex hybrid system reliability model.

[0068] Repeat the simulation task M times to obtain the sample set SS(M) of simulation evaluation of the reliability model of the complex hybrid system composed of success-failure type equipment:

[0069] SS(M)=[SS1,…,SS M ]

[0070] (3) Steps for obtaining a sample set of reliability model simulation evaluation for a complex hybrid system consisting of life-type equipment.

[0071] (3.1) Obtain the normal working time sub-step of each life-type equipment in any simulation task.

[0072] In any simulation task, the number of life-type devices is N, and the random number generation method is used to generate N random variables (R1,…,R N ), the failure distribution type of life-type equipment is exponential distribution, and the normal working time of any life-type equipment is T i′ :

[0073]

[0074] Among them, i′ is the serial number of the life-type equipment in the reliability model, λ is the equipment failure rate, and MTTF is the mean time to failure before the equipment fails. Since the life-type equipment cannot be repaired after failure, the normal operation T i′ It will be in a faulty state after hours.

[0075] (3.2) Obtain the normal working time sub-step of each single system virtual unit in any simulation task.

[0076] The complex hybrid system is decomposed level by level to obtain the underlying subsystem, and the normal working time of each single system virtual unit in the underlying subsystem is calculated.

[0077] The virtual unit of the series system includes j life-type devices. The normal working time of the virtual unit of the series system is t1:

[0078] t1=min(T1,...,T j )

[0079] Where T j is the normal working time of the jth life-type device in the virtual unit of the series system, and t1 is the minimum normal working time of the jth life-type devices.

[0080] The parallel system virtual unit includes k life-type devices. The normal working time of the parallel system virtual unit is t2:

[0081] t2=max(T1,...,T k )

[0082] Among them, T k is the normal working time of the kth life-type device in the virtual unit of the parallel system, and t2 is the maximum value of the normal working time of k life-type devices.

[0083] The bypass system virtual unit includes 1 life-type device. The normal working time of the bypass system virtual unit is t3:

[0084]

[0085] Where, m is the serial number of the life-type equipment in the virtual unit of the bypass system, T l It is the normal working time of the jth life-type equipment in the virtual unit of the bypass system.

[0086] The virtual unit of the voting system includes p life-type devices. The normal working time of the voting system is the normal working time of the qth life-type device. Then the normal working time of the virtual unit of the voting structure is t4:

[0087] t4=T q

[0088] Where T q It is the normal working time of the qth life-type equipment in the virtual unit of the voting system.

[0089] (3.3) Obtain the normal working time sub-step of the reliability model in any simulation task.

[0090] The reliability index of all single system virtual units in the bottom subsystem is calculated to obtain the normal working time T of the bottom subsystem:

[0091] T=F(t1,t2,t3,t4)

[0092] Wherein, F is a function for calculating the normal working time of all virtual units in a single system.

[0093] Similarly, the upper layer system of the bottom subsystem is decomposed into one or more virtual unit combinations of series system virtual units, parallel system virtual units, bypass system virtual units, and hybrid system virtual units. The method in step (3.2) is used to calculate the normal working time of each single system virtual unit in the upper layer system, and then the normal working time of the upper layer system is calculated based on the normal working time of each single system virtual unit. Through continuous iteration, the normal working time TT of the complex hybrid system is finally obtained. y , TT y As the normal working time of the reliability model in any one simulation task.

[0094] Wherein y represents the sequence number of any one simulation task.

[0095] (3.4) Obtain a simulation evaluation sample set for a reliability model of a complex hybrid system.

[0096] Repeat the simulation task M times to obtain the sample set TT(M) of simulation evaluation of the reliability model of the complex hybrid system composed of life-type equipment.

[0097] TT(M)={TT1,TT2,...,TT M}

[0098] (4) Reliability assessment steps.

[0099] (4.1) Reliability assessment sub-steps for complex hybrid systems consisting of success-failure devices.

[0100] The reliability model of a complex hybrid system composed of success-failure type devices, the reliability evaluation index is the success rate of the running status of all simulation tasks in the sample set.

[0101] The number of times the running status in the sample set is successful is summed up and then divided by the total number of simulation tasks to obtain the success rate of the simulation evaluation of the complex hybrid system composed of success-failure devices.

[0102] (4.2) Reliability assessment sub-steps for complex hybrid systems consisting of life-type equipment.

[0103] The reliability model of life-type equipment is composed of reliability evaluation indicators, which are the average normal working time of simulation tasks in the sample set.

[0104] The normal working time of the reliability model in each simulation task in the sample set is summed up and then divided by the total number of simulation tasks to obtain the normal working time of the simulation evaluation of the complex hybrid system composed of life-type equipment.

[0105] FIG4(a) is an example of a complex hybrid system composed of life-type devices, including a series system, a parallel system, and a bypass system, wherein device 1 and device 2 constitute a virtual unit of the bypass system, the bypass system and device 3 constitute a virtual unit of the series system, and the series system and device 4 constitute a virtual unit of the parallel system.

[0106] FIG4(b) shows the normal working status of each device in the complex hybrid system example before and after simulation. The operating status of each single system virtual unit is calculated, and then the operating status of all single system virtual units is calculated to obtain the simulation result, that is, the operating status of the reliability model.

[0107] Specifically, the environment-aware network optimization system provided by the present invention includes the following units:

[0108] Construct reliability model unit of complex hybrid system: complex hybrid system contains several single systems, and the reliability model of complex hybrid system is decomposed into a combination of various single system reliability models;

[0109] A unit for obtaining a simulation evaluation sample set of a reliability model of a complex hybrid system: using a random number generation method to generate random variables of each device in any simulation task, calculating the random variables to obtain the reliability index of each device, calculating the reliability index of all devices in various single system reliability models to obtain the reliability index of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain the reliability index of the reliability model of the complex hybrid system in any simulation task, repeating the simulation task several times to obtain a set of reliability indexes of the reliability model of the complex hybrid system in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system;

[0110] Complex hybrid system reliability assessment unit: calculates the reliability index of the simulation assessment sample set of the reliability model of the complex hybrid system to achieve reliability assessment.

[0111] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A reliability simulation evaluation method for a complex hybrid system, characterized in that: The steps include: (1) Steps for constructing a reliability model of a complex hybrid system: A complex hybrid system contains several single systems. The reliability model of the complex hybrid system is decomposed into a combination of various single system reliability models. (2) Obtaining a simulation evaluation sample set of a reliability model of a complex hybrid system: using a random number generation method to generate random variables for each device in any simulation task, calculating the random variables to obtain a reliability index for each device, calculating the reliability indexes of all devices in various single system reliability models to obtain reliability indexes of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain a reliability index of the reliability model of the complex hybrid system in any simulation task, repeating the simulation task several times, obtaining a set of reliability indexes of the reliability model of the complex hybrid system in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system; (3) Reliability evaluation steps for complex hybrid systems: Calculate the reliability index of the simulation evaluation sample set of the reliability model of the complex hybrid system to achieve reliability evaluation; The step of obtaining a complex hybrid system reliability model simulation evaluation sample set is specifically as follows: If there is a complex hybrid system composed of success-failure type devices, in any simulation task, a random variable of each success-failure type device is generated by using a random number generation method, and the random variables are compared with the success rate of the operation of the success-failure type devices in turn to obtain the operation status of each success-failure type device, and the complex hybrid system is decomposed level by level to obtain the bottom subsystem, and a logical operation is performed on the operation status of the success-failure type devices in each single system virtual unit in the bottom subsystem to obtain the operation status of each single system virtual unit, and the operation status of all single system virtual units is calculated to obtain the operation status of the bottom subsystem, and the operation status of the upper layer system is calculated in the same way until the operation status of the complex hybrid system is obtained; If there is a complex hybrid system composed of life-type devices, in any simulation task, a random number generation method is used to generate random variables for each life-type device, and the random variables are calculated to obtain the normal working time of each life-type device. The complex hybrid system is decomposed level by level to obtain the underlying subsystem, and logical operations are performed on the normal working time of the life-type devices in each single system virtual unit in the underlying subsystem to obtain the normal working time of each single system virtual unit. The normal working time of all single system virtual units is calculated to obtain the normal working time of the underlying subsystem, and the normal working time of the upper system is calculated in the same way until the normal working time of the complex hybrid system is obtained.

2. A reliability simulation evaluation method for a complex hybrid system as claimed in claim 1, characterized in that: The steps of constructing a reliability model of a complex hybrid system are specifically as follows: A complex hybrid system includes a combination of one or more single systems including a series system, a parallel system, a bypass system and a voting system. The reliability model of a complex hybrid system is decomposed into a combination of one or more single system reliability models. Each single system reliability model is represented by a virtual unit, namely, a series system virtual unit, a parallel system virtual unit, a bypass system virtual unit and a voting system virtual unit.

3. The reliability simulation evaluation method of a complex hybrid system according to claim 1, characterized in that: The operation status of the success / failure type devices in each single system virtual unit in the bottom subsystem is logically operated to obtain the operation status of each single system virtual unit, which is specifically: For the virtual unit of the serial system, if the operation status of all the success-failure type devices is success, the operation status of the virtual unit of the serial system is success, otherwise it is failure; For the parallel system virtual unit, if the operation status of at least one success-failure type device is successful, the operation status of the parallel system virtual unit is successful, otherwise it is failed; For the bypass system virtual unit, as long as there is another success-failure type device whose operation status is successful, the operation status of the bypass system virtual unit is successful, otherwise it is a failure; For the voting system virtual unit, if the operation status of the success-failure type device being voted is success, the operation status of the voting system virtual unit is success, otherwise it is failure.

4. The reliability simulation evaluation method of a complex hybrid system according to claim 1, characterized in that: The normal working time of the life-type equipment in each single system virtual unit in the bottom subsystem is logically calculated to obtain the normal working time of each single system virtual unit, specifically: For the virtual unit of the series system, its normal operation time is the minimum value of the normal operation time of each life type equipment: For the virtual unit of the parallel system, its normal operating time is the maximum value of the normal operating time of each life-type device: For the virtual unit of the bypass system, its normal operation time is the sum of the normal operation time of each life-type equipment: For the virtual unit of the voting system, its normal operating time is the normal operating time of the life-type equipment being voted.

5. A reliability simulation evaluation system for a complex hybrid system, characterized in that: The following units are included: Construct reliability model unit of complex hybrid system: complex hybrid system contains several single systems, and the reliability model of complex hybrid system is decomposed into a combination of various single system reliability models; A unit for obtaining a simulation evaluation sample set of a reliability model of a complex hybrid system: using a random number generation method to generate random variables of each device in any simulation task, calculating the random variables to obtain the reliability index of each device, calculating the reliability index of all devices in various single system reliability models to obtain the reliability index of various single system reliability models, performing logical operations on the reliability indexes of all single system reliability models to obtain the reliability index of the reliability model of the complex hybrid system in any simulation task, repeating the simulation task several times to obtain a set of reliability indexes of the reliability model of the complex hybrid system in all simulation tasks as a simulation evaluation sample set of the reliability model of the complex hybrid system; Complex hybrid system reliability assessment unit: calculates the reliability index of the simulation assessment sample set of the reliability model of the complex hybrid system to achieve reliability assessment; The unit for obtaining a sample set of simulation evaluation of a reliability model of a complex hybrid system includes the following subunits: A simulation evaluation sample set subunit of a reliability model of a complex hybrid system composed of success / failure type devices is obtained: in any simulation task, a random variable of each success / failure type device is generated by using a random number generation method, the random variables are compared with the success rate of the operation of the success / failure type devices in turn, and the operation status of each success / failure type device is obtained, the complex hybrid system is decomposed level by level to obtain the bottom subsystem, a logical operation is performed on the operation status of the success / failure type devices in each single system virtual unit in the bottom subsystem to obtain the operation status of each single system virtual unit, the operation status of all single system virtual units is calculated to obtain the operation status of the bottom subsystem, and the operation status of the upper system is calculated in the same way until the operation status of the complex hybrid system is obtained; A simulation evaluation sample set subunit of a reliability model of a complex hybrid system composed of life-type devices is obtained: in any simulation task, a random number generation method is used to generate random variables for each life-type device, and the normal working time of each life-type device is obtained by calculation, and the complex hybrid system is decomposed level by level to obtain the underlying subsystem, and logical operations are performed on the normal working time of the life-type devices in each single system virtual unit in the underlying subsystem to obtain the normal working time of each single system virtual unit, and the normal working time of all single system virtual units is calculated to obtain the normal working time of the underlying subsystem, and the normal working time of the upper system is calculated in the same way until the normal working time of the complex hybrid system is obtained.

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