Product RAMS index analysis method and device

Abstract

The application provides a product RAMS index analysis method and device, the product RAMS index analysis method comprises the following steps: obtaining an evaluation item point of a RAMS index of a product and structure information of the product; performing first mapping on the evaluation item point and structure category information of the product to obtain a first mapping relationship between the product and the evaluation item point, and obtaining a RAMS index calculation model of the product based on the first mapping relationship and structure connection information of the product; performing second mapping on a design parameter of the product and the evaluation item point to obtain a second mapping relationship between the design parameter of the product and the evaluation item point, determining a target evaluation item point corresponding to the design parameter based on the second mapping relationship, and obtaining a demand weight of the target evaluation item point based on the RAMS index calculation model. The method disclosed by the application associates RAMS indexes of different dimensions with product design parameters, and improves the applicability of the RAMS index system.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, and in particular to a method and apparatus for analyzing product RAMS indicators. Background Technology

[0002] RAMS is a collective term for reliability, availability, maintainability, and safety. RAMS is used to express the confidence level of a device in achieving a specified level within a specified time. However, the RAMS indicator system varies for different fields and devices.

[0003] In related technologies, different regions, industries, and companies have different paths for building RAMS indicator systems due to differences in technology development paths and the time when RAMS concepts were introduced. As the evaluation of RAMS indicator systems is separated from product design, most companies have low integration between RAMS systems and product design, resulting in poor applicability. Summary of the Invention

[0004] This invention provides a product RAMS index analysis method and apparatus to address the shortcomings of existing technologies that lack systematic evaluation of the RAMS index system, resulting in low integration between the RAMS system and product design, thereby improving the applicability of the RAMS index system.

[0005] This invention provides a method for analyzing the RAMS index of a product, comprising:

[0006] The evaluation items of the RAMS index of the product and the structural information of the product are obtained. The structural information of the product includes the structural category information and the structural connection information of the product. The evaluation items are used to represent the quantitative information of the RAMS index of the product.

[0007] The evaluation items are mapped to the structural category information of the product to obtain a first mapping relationship between the product and the evaluation items. Based on the first mapping relationship and the structural connection information of the product, the RAMS index calculation model of the product is obtained.

[0008] The design parameters of the product are mapped to the evaluation items in a second way to obtain a second mapping relationship between the design parameters and the evaluation items. Based on the second mapping relationship, the target evaluation items corresponding to the design parameters are determined, and the demand weight of the target evaluation items is obtained based on the RAMS index calculation model. The design parameters are used to represent the safety performance of the product, and the target evaluation items are one or more of the evaluation items.

[0009] According to a product RAMS index analysis method provided by the present invention, the step of determining the target evaluation items corresponding to the design parameters based on the second mapping relationship includes:

[0010] Based on the association of multiple items corresponding to the same indicator in the RAMS indicator, and / or the association of items corresponding to different indicators, a RAMS indicator relationship architecture is constructed, which is used to represent the mapping relationship between different items.

[0011] Based on the second mapping relationship between the design parameters and the RAMS index relationship framework, the target evaluation items corresponding to the design parameters are determined.

[0012] According to a product RAMS index analysis method provided by the present invention, after obtaining the RAMS index calculation model of the product, and before obtaining the demand weight of the target index based on the RAMS index calculation model, the method includes:

[0013] Obtain the initial weights of the RAMS index corresponding to the product, the initial weights being derived from the simulation data of the product;

[0014] When the difference between the initial weight and the preset verification weight exceeds a first threshold, the initial weight of the product RAMS indicator is updated. The verification weight is obtained based on the mapping relationship between the quantifiable indicator corresponding to the product and the evaluation item corresponding to the quantifiable indicator.

[0015] According to the present invention, a product RAMS index analysis method is provided, wherein the RAMS index calculation model includes one or more combinations of series model, parallel model, r / n model or side-connected model.

[0016] According to the present invention, a product RAMS index analysis method is provided, wherein the design parameters include at least one of static strength, fatigue strength, or fire resistance performance.

[0017] The present invention also provides a product RAMS index analysis device, comprising:

[0018] The first acquisition module is used to acquire the evaluation items of the RAMS index of the product and the structural information of the product. The structural information of the product includes the structural category information of the product and the structural connection information of the product. The evaluation items are used to represent the quantitative information of the RAMS index of the product.

[0019] The first processing module is used to perform a first mapping between the evaluation items and the structural category information of the product to obtain a first mapping relationship between the product and the evaluation items, and based on the first mapping relationship and the structural connection information of the product, to obtain a RAMS index calculation model for the product. The RAMS index calculation model is used to calculate the demand weight of the evaluation items corresponding to the structure of the product.

[0020] The second processing module is used to determine the target evaluation item corresponding to the design parameter based on the second mapping relationship between the product's design parameters and the evaluation item, and to obtain the demand weight of the target evaluation item based on the RAMS index calculation model. The design parameter is used to represent the safety performance of the product, and the target index is one or more of the RAMS indices.

[0021] The present invention also provides a product RAMS index analysis device, the device further comprising:

[0022] The second acquisition module is used to acquire the initial weight of the RAMS index corresponding to the product after the RAMS index calculation model of the product is obtained, and before the demand weight of the target index is obtained based on the RAMS index calculation model. The initial weight is obtained based on the simulation data of the product.

[0023] The verification module is used to update the initial weight of the product RAMS indicator when the difference between the initial weight and the preset verification weight exceeds a first threshold. The verification weight is obtained based on the mapping relationship between the quantifiable indicator corresponding to the product and the evaluation item corresponding to the quantifiable indicator.

[0024] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the product RAMS index analysis method as described above.

[0025] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the product RAMS index analysis method as described above.

[0026] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the RAMS index analysis method of any of the above-described products.

[0027] The product RAMS index analysis method and apparatus provided by this invention constructs a RAMS index calculation model by acquiring the evaluation items of RAMS index and the structural information of the product, and uses the calculation model to obtain the demand weights of the evaluation items corresponding to the design parameters of different systems or components of the product, so as to determine the RAMS index corresponding to the design parameters, thereby improving the applicability of the RAMS index system. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0029] Figure 1 This is a flowchart illustrating the product RAMS index analysis method provided by the present invention;

[0030] Figure 2 This is a schematic diagram of the confidence analysis of the RAMS index based on the time dimension provided by the present invention;

[0031] Figure 3 This is a schematic diagram of the product topology provided by the present invention;

[0032] Figure 4 This is a schematic diagram of the RAMS index architecture provided by the present invention;

[0033] Figure 5 This is a schematic diagram of the structure of the RAMS index analysis device provided by the present invention;

[0034] Figure 6 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0036] The following is combined Figures 1-5 This invention describes the product RAMS index analysis method and apparatus.

[0037] Figure 1 This is a flowchart illustrating the RAMS index analysis method for products provided by this invention, as shown below. Figure 1 As shown, the RAMS index analysis method for this product includes steps 110, 120, and 130.

[0038] Step 110: Obtain the evaluation points of the product's RAMS index and the product's structural information. The product's structural information includes the product's structural category information and the product's structural connection information. The evaluation points are used to represent the quantitative information of the product's RAMS index.

[0039] In this step, the RAMS index includes reliability index (R), availability index (A), maintainability index (M), and safety index (S), each of which contains one or more evaluation items.

[0040] In this step, the evaluation items corresponding to the RAMS index can be obtained by performing confidence analysis on the R, A, M, and S indices respectively.

[0041] In this embodiment, evaluation items can be used to quantitatively describe RAMS indicators. For example, reliability indicators can be described by evaluation items such as average failure rate or service life, and availability indicators can be described by evaluation items such as maintenance rate, average repair time, or utilization rate.

[0042] It should be noted that RAMS reflects the product's capabilities. Since product failures occur at random times and product lifespan is a random variable, the ability to perform the specified functions within the specified lifespan is also random. Probability is needed to quantitatively represent the degree of product RAMS performance.

[0043] The following explanation uses confidence analysis for reliability as an example.

[0044] In this embodiment, the reliability function can be represented as a function of time t, and can be expressed as:

[0045] R(t) = P(T>t);

[0046] Where t is the specified time and T represents the product's lifespan; according to the definition of reliability, R(t) represents the probability that the product is intact within the time interval (0, t), and R(0) = 1, R(+∞) = 0.

[0047] In some embodiments, evaluation is typically performed using time or distance as the dimension.

[0048] Figure 2 This is a schematic diagram of the confidence analysis of the RAMS index based on the time dimension provided by the present invention. Figure 2 In the illustrated embodiment, the confidence analysis method described above is extended to the entire RAMS index and evaluated using time as the dimension. The proportion of normal operating time (corresponding to t1) is a representation of reliability (the average time or the number of times per unit time can be used for evaluation depending on the evaluation requirements). The proportion of fault repair time is a representation of maintainability. The proportion of fault time (corresponding to t2) to normal operating time is a representation of availability. Only the proportion of fault time that affects safety is considered as a representation of safety.

[0049] Step 120: Perform a first mapping between the evaluation items and the product's structural category information to obtain the first mapping relationship between the product and the evaluation items. Based on the first mapping relationship and the product's structural connection information, obtain the product's RAMS index calculation model.

[0050] In this step, the product's structural information may include the connection relationships or connection status information of the product's corresponding structures.

[0051] Figure 3 This is a schematic diagram of the product topology provided by the present invention, such as... Figure 3 As shown, the product can be a branched tree structure. The complete system corresponding to the product includes System 1 and System 2. System 2 is further divided into multiple subsystems, such as Subsystem 1, Subsystem 2, ..., Subsystem n.

[0052] In this step, the RAMS index calculation model is used to calculate the RAMS index corresponding to the entire product, system, or each subsystem. Specifically, the product's RAMS index is determined by calculating the demand weight of the evaluation items corresponding to the RAMS index.

[0053] In this embodiment, due to the differences between the R, A, M and S indicators in the RAMS index, a calculation model for each indicator can be established.

[0054] In this embodiment, the RAMS index of the whole machine can be obtained by accumulating the RAMS index of each system or subsystem under the whole machine. The accumulation method is determined based on the connection relationship between the whole machine, systems and subsystems of the product.

[0055] In this embodiment, the connections between the whole machine, the system and each subsystem can be in parallel, series or side connection mode.

[0056] In this embodiment, based on the connection relationships between different connection parts of the product, a RAMS index calculation model can be constructed from the bottom up, layer by layer, to determine the product's RAMS index.

[0057] Step 130: Perform a second mapping between the product's design parameters and evaluation items to obtain the second mapping relationship between the product's design parameters and evaluation items. Based on the second mapping relationship, determine the target evaluation items corresponding to the design parameters, and obtain the demand weight of the target evaluation items based on the RAMS index calculation model. The design parameters are used to represent the product's safety performance, and the target evaluation items are one or more of the evaluation items.

[0058] It should be noted that since the evaluation items corresponding to the RAMS index reflect the inherent attributes of the index and belong to the basic units that can be quantified and measured, but the actual products or equipment need to use more complex design parameters to evaluate the safety performance of the product during operation, it is necessary to establish a correlation between the design parameters and the evaluation items corresponding to the RAMS index, so that the evaluation of each point is mapped to the evaluation of the design parameters.

[0059] In this embodiment, the correlation can be a functional relationship or mapping relationship between design parameters and one or more evaluation items.

[0060] In this embodiment, the design parameters can be associated with one or more evaluation items corresponding to one of the RAMS indicators, or they can be associated with one or more evaluation items corresponding to multiple RAMS indicators respectively. The target indicator and the evaluation items corresponding to the target indicator are determined according to the specific type of the design parameters.

[0061] The product RAMS index analysis method provided by this invention constructs a RAMS index calculation model by obtaining the evaluation items of RAMS index and the product's structural information, and uses the calculation model to obtain the demand weights of the evaluation items corresponding to the design parameters of different systems or components of the product, so as to determine the RAMS index corresponding to the design parameters, thereby improving the applicability of the RAMS index system.

[0062] In some embodiments, determining the target evaluation items corresponding to the design parameters based on the second mapping relationship includes: constructing a RAMS index relationship architecture based on the association of multiple items corresponding to the same index in the RAMS index, and / or the association of items corresponding to different indexes, wherein the RAMS index relationship architecture is used to represent the mapping relationship between different items; and determining the target evaluation items corresponding to the design parameters based on the second mapping relationship between the design parameters and the RAMS index relationship architecture.

[0063] In this embodiment, the RAMS index includes the R index, A index, M index, and S index, each of which contains multiple evaluation items.

[0064] Figure 4 This is a schematic diagram of the RAMS index architecture provided by the present invention. Figure 4 In the illustrated embodiment, after performing confidence analysis on the RAMS index, relevant evaluation items can be established from different dimensions of the product. At the same time, in order to represent the relationship between the R index, A index, M index and S index, the relationship between each item can be established to obtain the RAMS index architecture.

[0065] In this embodiment, the relationship between the points can be a functional relationship or mapping relationship between different evaluation points under the same index, or a functional relationship or mapping relationship between evaluation points corresponding to multiple indices; for example, evaluation point 1 (mean failure interval time) and evaluation point 2 (failure rate) are reciprocals of each other.

[0066] In some embodiments, after determining the association between design parameters and target evaluation items corresponding to RAMS indicators, the demand weights corresponding to the target evaluation items can be determined according to the RAMS indicator framework, thereby determining the RAMS indicators corresponding to the product's design parameters.

[0067] The product RAMS index analysis method provided by this invention establishes a RAMS index framework to achieve quantitative representation of indicators of different dimensions and corresponding items, which can more accurately reflect the correlation between product design parameters and RAMS indicators.

[0068] In some embodiments, after obtaining the RAMS index calculation model of the product, and before obtaining the required weight of the target index based on the RAMS index calculation model, the method includes: obtaining the initial weight of the RAMS index corresponding to the product, the initial weight being obtained based on the simulation data of the product; when the difference between the initial weight and the preset verification weight exceeds a first threshold, updating the initial weight of the product RAMS index, the verification weight being obtained based on the mapping relationship between the quantifiable index corresponding to the product and the evaluation item corresponding to the quantifiable index.

[0069] In this embodiment, when the product has a tree structure, the RAMS index corresponding to each system or subsystem under the whole machine can be accumulated through the RAMS index calculation model to obtain the RAMS index corresponding to the whole machine.

[0070] In this embodiment, the initial demand weight of the subsystem corresponding to the RAMS index in the tree structure is the optimal value determined by comparing data such as actual product application, simulation calculation or test. However, since the actual value of the RAMS index (corresponding to the actual demand weight) and the initial value (corresponding to the initial demand weight) are different when the product is applied, it is necessary to check the error of the RAMS index calculation model when calculating the data after obtaining the RAMS index calculation model.

[0071] In this embodiment, the initial demand weights are determined by predicting the RAMS index, and the product is calculated from the bottom up using the RAMS index calculation model to obtain the predicted values ​​of the RAMS index for each part of the product. At the same time, a function calculation relationship is established between the indicators that can be quantified and measured in actual use of the product and the evaluation items corresponding to the RAMS index to determine the actual values ​​of the RAMS index for each part of the product. When the deviation between the actual value and the predicted value exceeds the first threshold, it indicates that the RAMS index calculation model has a large error in the analysis of the product's RAMS index, and the RAMS index calculation model needs to be optimized.

[0072] In this embodiment, the first threshold can be customized according to actual needs.

[0073] In this embodiment, the RAMS index calculation model can be optimized by optimizing the initial demand weights of the product's RAMS index and their acquisition method, or by optimizing the calculation method of the RAMS index calculation model, so that the deviation between the actual value and the predicted value of the RAMS index of each part of the product is less than a first threshold, thereby obtaining a RAMS index calculation model with good prediction performance.

[0074] The product RAMS index analysis method provided by this invention optimizes the RAMS index calculation model by obtaining the difference between the actual value and the initial value of the demand weight corresponding to the RAMS index and comparing it with a first threshold, thereby improving the accuracy of the output results of the RAMS index calculation model.

[0075] In some embodiments, the computational model includes one or more combinations of a series model, a parallel model, an r / n model, or a side-connected model.

[0076] It is understandable that, since different products have different structural information, or the same product may have multiple connection methods for different related systems or components, the calculation method of the RAMS index calculation model for the product should be distinguished.

[0077] In this embodiment, the connections between the whole machine, the system and each subsystem can be parallel, series or side-connected. Therefore, the calculation model can include one or more combinations of series model, parallel model, r / n model or side-connected model.

[0078] In this embodiment, the RAMS index calculation model includes one or more combinations of series model, parallel model, r / n model or side model. The calculation model can run multiple calculation methods (corresponding to series, parallel or side, etc.) to adapt to the RAMS index analysis of products with different structural information.

[0079] The product RAMS index analysis method provided by this invention calculates the corresponding RAMS indexes of the whole product, system and each subsystem by designing a calculation model that can run multiple calculation modes, so that the RAMS index calculation model is related to the product structure and improves the applicability of the RAMS index calculation model.

[0080] In some embodiments, the design parameters include at least one of static strength, fatigue strength, or fire resistance.

[0081] In this embodiment, design parameters are used to represent the more complex safety performance of the product. When the safety of the design parameters cannot be directly evaluated, the design parameters can be associated with a combination of one or more evaluation items corresponding to quantifiable RAMS indicators, thereby determining the RAMS indicators corresponding to the design parameters and evaluating the safety performance of the product's design parameters.

[0082] In this embodiment, static strength, fatigue strength, or fire resistance are all safety performance indicators of the product. They can be comprehensively represented by multiple evaluation items corresponding to one indicator (R indicator, A indicator, M indicator, or S indicator) in the RAMS index, or by the comprehensive representation by the evaluation items corresponding to multiple indicators in the RAMS index. This establishes the relationship between the product's design parameters and the evaluation items corresponding to the RAMS index, and ultimately determines the RAMS index corresponding to the design parameters.

[0083] Of course, in some other embodiments, the product design parameters may also be other parameters used to represent the product's safety performance, in addition to static strength, fatigue strength, and fire resistance.

[0084] The product RAMS index analysis method provided by this invention establishes a safety correlation between the evaluation items corresponding to the RAMS index and design parameters such as static strength, fatigue strength, and fire resistance performance, thereby enabling the evaluation of the RAMS index corresponding to the product design parameters and improving the safety performance during product design.

[0085] The product RAMS index analysis device provided by the present invention is described below. The product RAMS index analysis device described below can be referred to in correspondence with the product RAMS index analysis method described above.

[0086] Figure 5 This is a schematic diagram of the RAMS index analysis device provided by the present invention, as shown below. Figure 5 As shown, the RAMS index analysis device for this product includes: a first acquisition module 510, a first processing module 520, and a second processing module 530.

[0087] The first acquisition module 510 is used to acquire the evaluation points of the product's RAMS index and the product's structural information. The product's structural information includes the product's structural category information and the product's structural connection information. The evaluation points are used to represent the quantitative information of the product's RAMS index.

[0088] The first processing module 520 is used to perform a first mapping between the evaluation items and the product's structural category information to obtain the first mapping relationship between the product and the evaluation items, and based on the first mapping relationship and the product's structural connection information, to obtain the product's RAMS index calculation model. The RAMS index calculation model is used to calculate the demand weight of the evaluation items corresponding to the product's structure.

[0089] The second processing module 530 is used to determine the target evaluation items corresponding to the design parameters based on the second mapping relationship between the product's design parameters and evaluation items, and to obtain the demand weight of the target evaluation items based on the RAMS index calculation model. The design parameters are used to represent the product's safety performance, and the target index is one or more of the RAMS indices.

[0090] The product RAMS index analysis device provided by this invention constructs a RAMS index calculation model by acquiring the evaluation items of RAMS index and the structural information of the product, and uses the calculation model to obtain the demand weights of the evaluation items corresponding to the design parameters of different systems or components of the product, so as to determine the RAMS index corresponding to the design parameters, thereby improving the applicability of the RAMS index system.

[0091] In some embodiments, the product RAMS index analysis device further includes:

[0092] The second acquisition module is used to obtain the initial weight of the RAMS index corresponding to the product after obtaining the RAMS index calculation model of the product and before obtaining the required weight of the target index based on the RAMS index calculation model. The initial weight is obtained based on data simulation or data testing of the product.

[0093] The verification module is used to update the initial weight of the product RAMS indicator when the difference between the initial weight and the preset verification weight exceeds a first threshold. The verification weight is obtained based on the mapping relationship between the product's corresponding quantifiable indicator and the evaluation item corresponding to the quantifiable indicator.

[0094] The RAMS index analysis device provided by this invention optimizes the RAMS index calculation model by obtaining the difference between the actual value and the initial value of the demand weight corresponding to the RAMS index and comparing it with a first threshold, thereby improving the accuracy of the output results of the RAMS index calculation model.

[0095] Figure 6 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 6As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640. The processor 610, communication interface 620, and memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a product RAMS index analysis method. This method includes: acquiring evaluation items of the product's RAMS index and the product's structural information. The product's structural information includes structural category information and structural connection information. Evaluation items are used to represent the quantitative information of the product's RAMS index. A first mapping is performed between the evaluation items and the product's structural category information to obtain a first mapping relationship between the product and the evaluation items. Based on the first mapping relationship and the product's structural connection information, a RAMS index calculation model for the product is obtained. Based on a second mapping relationship between the product's design parameters and the evaluation items, target evaluation items corresponding to the design parameters are determined. The required weight of the target evaluation items is obtained based on the RAMS index calculation model. The design parameters represent the product's safety performance, and the target evaluation items are one or more of the evaluation items.

[0096] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0097] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the product RAMS index analysis method provided by the above methods. The method includes: acquiring evaluation items of the product's RAMS index and the product's structural information, wherein the product's structural information includes the product's structural category information and the product's structural connection information, and the evaluation items are used to represent the quantitative information of the product's RAMS index; performing a first mapping between the evaluation items and the product's structural category information to obtain a first mapping relationship between the product and the evaluation items, and obtaining a product's RAMS index calculation model based on the first mapping relationship and the product's structural connection information; determining the target evaluation items corresponding to the design parameters based on a second mapping relationship between the product's design parameters and the evaluation items, and obtaining the demand weight of the target evaluation items based on the RAMS index calculation model, wherein the design parameters are used to represent the product's safety performance, and the target evaluation items are one or more of the evaluation items.

[0098] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements a product RAMS index analysis method provided by the methods described above. This method includes: acquiring evaluation items of the product's RAMS index and the product's structural information, wherein the product's structural information includes structural category information and structural connection information, and the evaluation items represent the quantitative information of the product's RAMS index; performing a first mapping between the evaluation items and the product's structural category information to obtain a first mapping relationship between the product and the evaluation items, and obtaining a product RAMS index calculation model based on the first mapping relationship and the product's structural connection information; determining the target evaluation items corresponding to the design parameters based on a second mapping relationship between the product's design parameters and the evaluation items, and obtaining the demand weight of the target evaluation items based on the RAMS index calculation model, wherein the design parameters represent the product's safety performance, and the target evaluation items are one or more of the evaluation items.

[0099] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0100] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing the RAMS index of a product, characterized in that, include: The evaluation items of the product's RAMS (Range, Strength, and Safety) index and the product's structural information are obtained. The product's structural information includes the product's structural category information and structural connection information. The evaluation items are used to represent the quantitative information of the product's RAMS index. The evaluation items are obtained by performing time-dimension confidence analysis on reliability, availability, maintainability, and safety indices respectively. The percentage of time spent in normal operating conditions is used as a representation of reliability, the percentage of time spent repairing faults is used as a representation of maintainability, the percentage of time spent in faults to normal operating conditions is used as a representation of availability, and the percentage of time spent in faults that only affect safety is used as a representation of safety. The evaluation items are mapped to the structural category information of the product to obtain a first mapping relationship between the product and the evaluation items. Based on the first mapping relationship and the structural connection information of the product, the RAMS index calculation model of the product is obtained. The design parameters of the product are mapped to the evaluation items in a second way to obtain a second mapping relationship between the design parameters and the evaluation items. Based on the second mapping relationship, the target evaluation items corresponding to the design parameters are determined, and the demand weight of the target evaluation items is obtained based on the RAMS index calculation model. The design parameters are used to represent the safety performance of the product, and the target evaluation items are one or more of the evaluation items corresponding to the RAMS index.

2. The product RAMS index analysis method according to claim 1, characterized in that, The step of determining the target evaluation items corresponding to the design parameters based on the second mapping relationship includes: Based on the association of multiple items corresponding to the same indicator in the RAMS indicator, and / or the association of items corresponding to different indicators, a RAMS indicator relationship architecture is constructed, which is used to represent the mapping relationship between different items. Based on the second mapping relationship between the design parameters and the RAMS index relationship framework, the target evaluation items corresponding to the design parameters are determined.

3. The product RAMS index analysis method according to claim 1, characterized in that, After obtaining the RAMS index calculation model for the product, and before obtaining the demand weights of the target evaluation items based on the RAMS index calculation model, the method includes: Obtain the initial weights of the RAMS index corresponding to the product, the initial weights being derived from the simulation data of the product; When the difference between the initial weight and the preset verification weight exceeds a first threshold, the initial weight of the product RAMS indicator is updated. The verification weight is obtained based on the mapping relationship between the quantifiable indicator corresponding to the product and the evaluation item corresponding to the quantifiable indicator.

4. The product RAMS index analysis method according to claim 1, characterized in that, The RAMS index calculation model includes one or more combinations of series model, parallel model, r / n model or side-link model.

5. The product RAMS index analysis method according to claim 1, characterized in that, The design parameters include at least one of static strength, fatigue strength, or fire resistance.

6. A product RAMS index analysis device, characterized in that, include: The first acquisition module is used to acquire the evaluation items of the product's RAMS index and the product's structural information. The product's structural information includes the product's structural category information and the product's structural connection information. The evaluation items are used to represent the quantitative information of the product's RAMS index. The evaluation items are obtained by performing confidence analysis on reliability index, availability index, maintainability index, and safety index in a time dimension. The proportion of time under normal operating conditions is used as a representation of reliability, the proportion of time for fault repair is used as a representation of maintainability, the proportion of time for fault repair to normal operating conditions is used as a representation of availability, and the proportion of time for faults that only affect safety is used as a representation of safety. The first processing module is used to perform a first mapping between the evaluation items and the structural category information of the product to obtain a first mapping relationship between the product and the evaluation items, and based on the first mapping relationship and the structural connection information of the product, to obtain a RAMS index calculation model for the product. The RAMS index calculation model is used to calculate the demand weight of the evaluation items corresponding to the structure of the product. The second processing module is used to determine the target evaluation item corresponding to the design parameter based on the second mapping relationship between the product's design parameters and the evaluation item, and to obtain the demand weight of the target evaluation item based on the RAMS index calculation model. The design parameter is used to represent the safety performance of the product, and the target evaluation item is one or more of the evaluation items corresponding to the RAMS index.

7. The product RAMS index analysis device according to claim 6, characterized in that, The device further includes: The second acquisition module is used to acquire the initial weight of the RAMS index corresponding to the product after obtaining the RAMS index calculation model of the product and before obtaining the demand weight of the target evaluation item based on the RAMS index calculation model. The initial weight is obtained based on the simulation data of the product. The verification module is used to update the initial weight of the product RAMS indicator when the difference between the initial weight and the preset verification weight exceeds a first threshold. The verification weight is obtained based on the mapping relationship between the quantifiable indicator corresponding to the product and the evaluation item corresponding to the quantifiable indicator.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the product RAMS index analysis method as described in any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the product RAMS index analysis method as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the product RAMS index analysis method as described in any one of claims 1 to 5.

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