CN115601017A - Complex system inherent availability allocation method and device and computer equipment - Google Patents

Complex system inherent availability allocation method and device and computer equipment Download PDF

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CN115601017A
CN115601017A CN202211411930.7A CN202211411930A CN115601017A CN 115601017 A CN115601017 A CN 115601017A CN 202211411930 A CN202211411930 A CN 202211411930A CN 115601017 A CN115601017 A CN 115601017A
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杨拥民
罗旭
葛哲学
李磊
官凤娇
张士刚
陶俊勇
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National University of Defense Technology
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Abstract

The application relates to a complex system inherent availability allocation method, a complex system inherent availability allocation device, a computer device and a storage medium. The method comprises the following steps: acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the failure rate ratio of each subsystem; obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system; calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system; constructing a calculation model of the inherent availability index of the subsystem; and substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem. By adopting the method, the inherent availability index of the subsystem can be simply and effectively distributed.

Description

Complex system inherent availability allocation method and device and computer equipment
Technical Field
The present application relates to the technical field of complex system intrinsic availability allocation, and in particular, to a complex system intrinsic availability allocation method, apparatus, and computer device.
Background
Availability is the probability that the equipment is in a usable state when required by a task under specified conditions. Intrinsic availability is availability without regard to supply, administrative delay time, and preventive maintenance time. It is determined by both the reliability and serviceability of the system.
Currently, product availability does not have a complete method of distribution. Because the availability, the reliability and the maintainability are not in a proportional relation, no analytic allocation method exists in a serial system or a parallel system. At present, the engineering is still allocated according to related qualitative attributes according to experience, no model can support the engineering, and the engineering is not scientific and effective.
Disclosure of Invention
In view of the foregoing, there is a need to provide a method, an apparatus and a computer device for allocating intrinsic availability of a complex system, which are simple and effective.
A complex system intrinsic availability allocation method, the method comprising:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
constructing a calculation model of the inherent availability index of the subsystem;
and substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem.
In one embodiment, the obtaining the average failure repair time of the complex system according to the inherent availability index of the complex system includes:
Figure BDA0003939013230000021
wherein A is is Indicating the inherent availability index, eta, of the system s Representing the mean time to failure maintenance of the complex system.
In one embodiment, calculating the average failure repair time index of each subsystem according to the failure rate ratio of each subsystem, the average repair time ratio of each subsystem and the average failure repair time of the complex system comprises:
η i ＝α i μ i η s
wherein eta i Representing the mean time to failure index, α, for each subsystem i Representing the ratio of failure rates, mu, of the subsystems i The average maintenance time ratio of each subsystem is shown.
In one embodiment, calculating the average failure repair time index of each subsystem according to the failure rate ratio of each subsystem, the average repair time ratio of each subsystem and the average failure repair time of the complex system comprises:
when the types of the subsystems are the same, the average maintenance time ratio of the subsystems is the same, namely mu i ＝1。
In one embodiment, the building a subsystem inherent availability index calculation model of the subsystem inherent availability index calculation model includes:
Figure BDA0003939013230000022
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003939013230000023
indicating an inherent availability indicator of the subsystem.
The present invention also provides a complex system inherent availability allocation apparatus, the apparatus comprising:
the data acquisition module is used for acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and the data acquisition module is also used for acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
the average failure maintenance time calculation module of the complex system is used for calculating the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
the subsystem average failure maintenance time index calculation module is used for calculating the subsystem average failure maintenance time index according to the failure rate ratio of each subsystem, the subsystem average maintenance time ratio and the complex system average failure maintenance time eta;
the system comprises a subsystem inherent availability index calculation model building module, a subsystem inherent availability index calculation model building module and a subsystem inherent availability index calculation model building module, wherein the subsystem inherent availability index calculation model building module is used for building a subsystem inherent availability index calculation model;
and the inherent availability index calculation module of each subsystem is used for substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem.
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:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
and constructing a subsystem inherent availability index calculation model, and substituting the average failure maintenance time index of the subsystem into the subsystem inherent availability index calculation model to obtain the inherent availability index of each subsystem.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
and constructing a subsystem inherent availability index calculation model, and substituting the average failure maintenance time index of the subsystem into the subsystem inherent availability index calculation model to obtain the inherent availability index of each subsystem.
The method, the device, the computer equipment and the storage medium for distributing the inherent availability of the complex system can provide a simple and effective distribution mode for distributing the availability of the complex object. And the method is combined with reliable maintainability guarantee simulation software, so that the rapid distribution and check of the availability of a large-scale complex system can be realized.
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FIG. 1 is a schematic flow chart diagram illustrating a method for intrinsic availability allocation for a complex system in one embodiment;
FIG. 2 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 and not restrictive on the broad application.
The inherent availability distribution method of the complex system can be applied to the design process of complex equipment or systems, and aims to improve the general quality characteristic of the complex equipment or systems.
In one embodiment, as shown in fig. 1, there is provided a complex system intrinsic availability allocation method, comprising the steps of: the method comprises the following steps:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the failure rate ratio of each subsystem;
the inherent availability index of the complex system is determined by the reliability and the maintainability of the system when the system is designed, therefore, the inherent availability index of the complex system is determined at the beginning of the design of the complex system, however, because the availability, the reliability and the maintainability do not have a proportional relation, an analytic allocation method does not exist yet for allocating the inherent availability index of the complex system to each subsystem in the complex system, the inherent availability index of each subsystem is allocated according to the experience in the current engineering according to the related qualitative attribute, and the inherent availability index of each subsystem is allocated by constructing a subsystem inherent availability index calculation model.
In particular, the inherent availability of a complex system is defined as:
Figure BDA0003939013230000051
wherein the content of the first and second substances,
Figure BDA0003939013230000052
for the mean time between failures of a complex system,
Figure BDA0003939013230000053
is the average maintenance time of a complex system. It can be seen from the calculation formula of the inherent availability of the complex system that neither the reliability series model nor the reliability parallel model can be calculated by summing and multiplying. That is, efficient allocation cannot be performed by directly using the intrinsic usability index.
Therefore, the application converts the inherent availability index of the complex system, and defines the average failure repair time of the complex system, that is, the average failure repair time of the complex system can be obtained according to the inherent availability index of the complex system, and specifically, the method comprises the following steps:
Figure BDA0003939013230000054
order to
Figure BDA0003939013230000055
Is eta s Then, there are:
Figure BDA0003939013230000056
wherein eta is s The average failure repair time of the complex system is represented, and the consumed repair time in unit time is represented.
When the system is designed, after the inherent availability index of the complex system is distributed, the average failure repair time eta of the complex system can be calculated s And may be used to make the allocation.
For an exponential system, there are
Figure BDA0003939013230000057
Wherein λ S Is the failure rate of a complex system.
At this time, if the complex system is composed of N subsystems of the same type connected in series, their levels are equalThe average maintenance time can be considered equal, equal to the average maintenance time of the system,
Figure BDA0003939013230000058
Figure BDA0003939013230000059
the average maintenance time for the ith subsystem is as follows:
Figure BDA0003939013230000061
wherein λ is 1 …λ N The failure rate of each subsystem;
Figure BDA0003939013230000062
average maintenance time for each subsystem; eta 1 …η N Average failure repair time for each subsystem;
the method comprises the following steps:
λ i ＝α i λ s
wherein λ is i Is the failure rate of the ith subsystem, α i The fault rate ratio of the ith subsystem is obtained;
then
η s ＝(α 1 +…+α N )λ s T CTs ＝α 1 η s +…+α N η s ＝η 1 +…+η N
At this time, the average failure maintenance time index of each subsystem can be calculated according to the failure rate ratio of each subsystem and the average failure maintenance time of the complex system, namely:
η i ＝α i η s
wherein eta is i And the average failure repair time index of the ith subsystem is obtained.
For a reliable series system, when the average maintenance time of each component is equal, the direct and effective adoption of accumulated summation distribution can be completely carried out, and the distribution proportion adopts the failure rateRatio alpha i And (4) finishing. In obtaining eta i Then, the inherent availability index distribution of each subsystem can be carried out by constructing a subsystem inherent availability index calculation model, wherein the subsystem inherent availability index calculation model is as follows:
Figure BDA0003939013230000063
wherein the content of the first and second substances,
Figure BDA0003939013230000064
an inherent availability index of the subsystem;
therefore, the inherent availability index of each subsystem can be calculated through the calculation model, namely, the inherent availability distribution process is completed.
If the system is composed of N components connected in series, and their average maintenance time is not equal, the average maintenance time ratio of each subsystem needs to be introduced, such that:
T CTi ＝μ i T CTs
then there are:
Figure BDA0003939013230000071
then there are:
η i ＝α i μ i η s
wherein, mu i Average maintenance time ratio for ith subsystem
And by adopting cumulative weighted summation, distributing the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem and the proportion of the average maintenance time ratio of each subsystem.
The present invention provides two embodiments, taking a complex system comprising 5 subsystems as an example, the 5 subsystems are connected in series. The inherent availability index of a complex system is A is =0.90, to which the intrinsic usability index now needs to be assigned 5And the subsystem defines the inherent usability index of the subsystem so as to constrain and guide the design.
The first embodiment is as follows: a certain power supply system comprises 5 series subsystems which are respectively an intermediate frequency power supply, a power supply monitoring console, an intermediate frequency power supply terminal, a direct current power supply terminal and an integrated power supply terminal, the types of the subsystems are the same, and the average maintenance time of all the subsystems is basically the same, namely T CT1 ＝T CT2 ＝T CT3 ＝T CT4 ＝T CT5 ＝T CTs At this time, the average maintenance time ratio of each subsystem is 1, and the inherent availability allocation proportion of each subsystem is performed by using the failure rate ratio of each subsystem.
Step 1: obtaining the inherent availability index of the power supply system, A is =0.90, and the fault rate ratio alpha of each subsystem of the power supply system is obtained 1 ＝0.15，α 2 ＝0.06，α 3 ＝0.4，α 4 ＝0.13，α 5 ＝0.26；
Step 2: obtaining the average failure maintenance time of the complex system according to the inherent availability index of the power supply system:
Figure BDA0003939013230000081
and step 3: calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem of the power supply system, the average maintenance time ratio of each subsystem and the average failure maintenance time of the power supply system, wherein the average maintenance time ratio of each subsystem of the power supply system is 1, so that the method comprises the following steps:
η 1 ＝α 1 η s ＝1/60，η 2 ＝α 2 η s ＝1/150，η 3 ＝α 3 η s ＝2/45，η 4 ＝α 4 η s ＝13/900，η 5 ＝α 5 η s ＝13/450。
and 4, step 4: substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem
Figure BDA0003939013230000082
In the method, the inherent availability index of each subsystem of the power supply system is obtained, namely
A 1 ＝0.9836、A 2 ＝0.9934、A 3 ＝0.9574、A 4 ＝0.9858、A 5 ＝0.9719。
The inherent availability index distribution values of the medium-frequency power supply, the power supply monitoring console, the medium-frequency power supply terminal, the direct-current power supply terminal and the integrated power supply terminal are 0.9836, 0.9934, 0.9574, 0.9858 and 0.9719 respectively.
Example two: the equipment carrying guarantee system comprises 5 series subsystems which are respectively a carrying machine, a reversed carrying machine, a top hanging machine, a lifting machine and a dispatching machine, wherein the average maintenance time of each subsystem is different, and the inherent availability distribution proportion of each subsystem is carried out by adopting the fault rate ratio product of the average maintenance time ratio subsystem of the subsystem.
Step 1; obtaining the inherent availability index, A, of the equipment delivery support system s =0.90, obtaining the average maintenance time ratio mu of each subsystem of the equipment carrying guarantee system 1 ＝1.1，μ 2 ＝1.5，μ 3 ＝0.75，μ 4 ＝0.9，μ 5 =1.2, failure rate ratio α of each subsystem 1 ＝0.15，α 2 ＝0.06，α 3 ＝0.4，α 4 ＝0.13，α 5 ＝0.26
Step 2: obtaining the average failure maintenance time of the complex system according to the inherent availability index of the equipment carrying guarantee system:
Figure BDA0003939013230000083
and step 3: calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem of the equipment carrying guarantee system, the average maintenance time ratio of each subsystem and the average failure maintenance time of the equipment carrying guarantee system, including
η 1 ＝α 1 μ 1 η s ＝11/600，η 2 ＝α 2 μ 2 η s ＝1/100，η 3 ＝α 3 μ 3 η s ＝1/30，η 4 ＝α 4 μ 4 η s ＝13/1000，η 5 ＝α 5 μ 5 η s ＝104/3000。
And 4, step 4: substituting the average failure maintenance time index of the subsystem into the inherent usability index calculation model of the subsystem
Figure BDA0003939013230000091
In the method, the inherent availability index of each subsystem is obtained, namely
A 1 ＝0.9820、A 2 ＝0.9900、A 3 ＝0.9677、A 4 ＝0.9872、A 5 ＝0.9665。
The inherent availability indexes of the conveyers, the transfer conveyors, the top hanging machines, the lifting machines and the allocation machines of the subsystems of the equipment carrying guarantee system are respectively 0.982, 0.99, 0.9677, 0.9872 and 0.9665.
The intrinsic availability allocation method of the complex system can provide a simple and effective allocation mode for the availability allocation of the complex object. And the method is combined with reliable maintainability guarantee simulation software, so that the rapid distribution and check of the availability of a large-scale complex system can be realized.
In one embodiment, there is provided a complex system intrinsic availability allocation apparatus, including: the system comprises a data acquisition module, an average failure maintenance time calculation module of a complex system, an average failure maintenance time index calculation module of a subsystem, an inherent availability index calculation model construction module of the subsystem and an inherent availability index calculation module of each subsystem, wherein:
the data acquisition module is used for acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series and also comprises an average maintenance time ratio of each subsystem and a fault rate ratio of each subsystem;
the average failure maintenance time calculation module of the complex system is used for calculating the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
the subsystem average failure maintenance time index calculation module is used for calculating the subsystem average failure maintenance time index according to the failure rate ratio of each subsystem, the subsystem average maintenance time ratio and the complex system average failure maintenance time eta;
the subsystem inherent availability index calculation model building module is used for building a subsystem inherent availability index calculation model;
and the inherent availability index calculation module of each subsystem is used for substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem.
For specific limitations of the complex system intrinsic availability allocation apparatus, reference may be made to the above limitations of the complex system intrinsic availability allocation method, which are not described herein again. The various modules in the above-described complex system intrinsic availability distribution apparatus may be implemented in whole or in part by software, hardware, and combinations 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. 2. The computer device includes a processor, a memory, a network interface, and a database 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 database of the computer device is used for storing various index data and ratio data of the complex system. 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 complex system intrinsic availability allocation method.
It will be appreciated by those skilled in the art that the configuration shown in fig. 2 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
and constructing a subsystem inherent availability index calculation model, and substituting the average failure maintenance time index of the subsystem into the subsystem inherent availability index calculation model to obtain the inherent availability index of each subsystem.
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:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
and constructing a subsystem inherent availability index calculation model, and substituting the average failure maintenance time index of the subsystem into the subsystem inherent availability index calculation model to obtain the inherent availability index of each subsystem.
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 non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
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 (8)

1. A method for allocating intrinsic availability of a complex system, the method comprising:
acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each subsystem;
obtaining the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
calculating the average failure maintenance time index of each subsystem according to the failure rate ratio of each subsystem, the average maintenance time ratio of each subsystem and the average failure maintenance time of the complex system;
constructing a calculation model of the inherent availability index of the subsystem;
and substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem.
2. The method according to claim 1, wherein the obtaining the average failure repair time of the complex system according to the inherent availability index of the complex system comprises:
Figure FDA0003939013220000011
wherein, A is Indicating the inherent availability index, η, of the system s Representing the average time to failure maintenance of the complex system.
3. The method of claim 2, wherein calculating the average time to failure indicator for each subsystem according to the ratio of failure rates of each subsystem, the ratio of average time to repair of each subsystem, and the average time to failure of the complex system comprises:
η i ＝α i μ i η s
wherein eta is i Representing the mean time to failure index, α, for each subsystem i Representing the failure rate ratio, mu, of each subsystem i The average maintenance time ratio of each subsystem is shown.
4. The method of claim 3, wherein calculating the average failed repair time indicator for each subsystem based on the failure rate ratio for each subsystem, the average repair time ratio for each subsystem, and the average failed repair time for the complex system comprises:
when the types of the subsystems are the same, the average maintenance time ratio of the subsystems is the same, namely mu i ＝1。
5. The complex system inherent availability allocation method according to claim 3, wherein the building of the subsystem inherent availability index calculation model includes:
Figure FDA0003939013220000021
wherein the content of the first and second substances,
Figure FDA0003939013220000022
indicating an inherent availability indicator of the subsystem.
6. An apparatus for allocating inherent availability of a complex system, the apparatus comprising:
the data acquisition module is used for acquiring inherent availability indexes of a complex system, wherein the complex system comprises a plurality of subsystems connected in series, and the data acquisition module is also used for acquiring the average maintenance time ratio of each subsystem and the fault rate ratio of each system;
the average failure maintenance time calculation module of the complex system is used for calculating the average failure maintenance time of the complex system according to the inherent availability index of the complex system;
the subsystem average failure maintenance time index calculation module is used for calculating the subsystem average failure maintenance time index according to the failure rate ratio of each subsystem, the subsystem average maintenance time ratio and the complex system average failure maintenance time eta;
the system comprises a subsystem inherent availability index calculation model building module, a subsystem inherent availability index calculation model building module and a subsystem inherent availability index calculation model building module, wherein the subsystem inherent availability index calculation model building module is used for building a subsystem inherent availability index calculation model;
and the inherent availability index calculation module of each subsystem is used for substituting the average failure maintenance time index of the subsystem into the inherent availability index calculation model of the subsystem to obtain the inherent availability index of each subsystem.
7. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
8. 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 5.
CN202211411930.7A 2022-11-11 2022-11-11 Complex system inherent availability allocation method and device and computer equipment Pending CN115601017A (en)

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CN202211411930.7A CN115601017A (en) 2022-11-11 2022-11-11 Complex system inherent availability allocation method and device and computer equipment

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CN115601017A true CN115601017A (en) 2023-01-13

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