CN113128712B - RAMS design analysis structure-oriented rule-based product data cleaning method - Google Patents

Abstract

The invention provides a method for cleaning product data based on rules and oriented to an RAMS design analysis structure, which is characterized by comprising the following steps: s1, setting control variables including: controlling a variable (I), and dividing a product maintenance level into rules; controlling a variable II, and numbering and cutting rules of internal products; controlling variables and cutting rules of outsourcing material numbers; controlling variables, and regulating the splitting rule of products with the same specification; controlling variables, binding rules of other parameters; and S2, inputting the E-BOM, the enterprise standard product numbering rule and the enterprise outsourcing material numbering rule, and converting the E-BOM into the R-BOM based on experience knowledge and model multiplexing by using the control variables. The invention can ensure the quality and effectiveness of the RAMS or universal quality characteristic design analysis through the computer information technology, thereby making up the defects of the prior art and improving the effectiveness and efficiency of the RAMS or universal quality characteristic design analysis of equipment or products.

Description

A rule-based product data cleaning method for RAMS design analysis structure

technical field

The invention belongs to the field of design and analysis of electronic product RAMS (Reliability, Availability, Maintainability and Safety, which is an abbreviation for reliability, availability, maintainability and safety, and is referred to as general quality characteristic in the field of domestic military equipment), and specifically relates to a RAMS-oriented design Analytical Structure A rule-based approach to product data cleaning.

Background technique

For equipment at all levels under different combat missions, the requirements for RAMS characteristics are different. For example, aerospace equipment pays more attention to reliability, life, failure prediction and health management PHM, while aviation equipment pays more attention to the reliability, safety, availability and guarantee of easy maintenance and maintenance due to the frequent execution of tasks by aircraft. The fields of civil aviation and rail transit are also particularly important. Due to the persistence of long-term maritime missions and the difficulty of supplying strategically in the open sea, ship equipment is more concerned with the long-term operational reliability of the equipment and the ease of maintenance of less guaranteed resources. In this regard, under the mission and mission of specific types of equipment, it is necessary to weigh the comprehensive needs of these characteristics, and sort out the relationship between the characteristics from the perspective of system requirements. The core is to reduce the adverse effects of various types of failures and errors on equipment mission tasks. For systems or subsystems at different levels, there are further significant differences in the considerations of RAMS. Refer to the 2020 edition of IEC 60300-3-4 General Quality Characteristics Requirement Index Definition Application Guide, which describes the general quality characteristics index requirements of different system objects from the perspective of maintenance and users, as shown in Figure 1.

In the design and analysis of electronic equipment RAMS, it is often necessary to select the product material structure list suitable for the RAMS design and analysis needs from the product design material structure list (E-BOM, engineering bill of material). That is to deconstruct the product material structure from the perspective of RAMS. This is mainly to simplify the product structure model of RAMS design analysis from the perspective of maintenance level and the main factors affecting equipment reliability.

The traditional way is to manually adjust and delete inappropriate parts of the structure on the basis of E-BOM, mainly relying on the experience of RAMS design analysts. In the process, it is time-consuming and labor-intensive, and there will also be problems of omissions or excessive deletions. Therefore, the traditional method has problems of low efficiency and high error rate, which is not conducive to the effective development of RAMS design and analysis business, and has limitations.

SUMMARY OF THE INVENTION

The invention aims to provide a rule-based product data cleaning method oriented to RAMS design and analysis structure, so as to solve the problem of low efficiency and high error rate due to the traditional manual adjustment and deletion of inappropriate parts in the structure relying on the experience of RAMS design analysts The problem.

A method for cleaning product data based on rules for a RAMS design and analysis structure provided by the present invention comprises the following steps:

S1, set control variables, including:

Control variable ①, product maintenance level division rules;

Control variable ②, internal product number tailoring rules;

Control variable ③, outsourcing material number tailoring rules;

Control variable ④, splitting rules for products of the same specification;

Control variable ⑤, other parameter binding rules;

S2, input the E-BOM, the enterprise standard product numbering rule and the outsourcing material numbering rule, and use the control variables to convert the E-BOM into an R-BOM based on empirical knowledge and model reuse.

Further, the method for converting the E-BOM into the R-BOM based on empirical knowledge and model reuse by using the control variable includes the following substeps:

A, first copy the E-BOM to the RAMS design analysis bill of materials R-BOM; then according to the product maintenance level division rule of the control variable ①, put the maintenance level and maintenance unit corresponding to the E-BOM product number or purchased material code in R - Put a digital label on the corresponding position on the BOM to form the initial R-BOM;

B. On the basis of the initial R-BOM formed in step A, according to the internal product number tailoring rules of control variable ② and the input enterprise standard product numbering rules, the internal product structure of the R-BOM that has nothing to do with RAMS design analysis is stripped; And based on the rules to supplement the functional characteristics of the analysis objects, the R-BOM can be formed for the preliminary design analysis of RAMS;

C. On the basis of the R-BOM formed in step B for the preliminary design analysis of RAMS, according to the outsourcing material number tailoring rules of the control variable ③ and the inputted enterprise outsourcing material numbering rules, the R-BOM and RAMS design Analyze unrelated supply chain outsourcing product structure stripping; and supplement the functional characteristics of analysis objects based on rules to form R-BOM for RAMS design analysis;

D. On the basis of the R-BOM for RAMS design analysis formed in step C, according to the splitting rules for products of the same specification of the control variable ④, the structure of multiple product quantities in the same position structure in the R-BOM is divided according to the similarities and differences of functions Explain that the structure is split to form a RAMS design analysis structure;

E. On the basis of the RAMS design and analysis structure formed in step D, according to the other parameter binding rules of the control variable ⑤, the RAMS design and analysis parameters are assigned to each corresponding structure of the R-BOM to form an R-BOM based on empirical knowledge and model reuse .

Wherein, the product maintenance level division rule of the control variable ① is a rule determined according to the definition of the maintenance level of similar products of the enterprise or the maintenance level analysis of new products, including the maintenance level and maintenance unit corresponding to the product number or the code of the purchased material.

Wherein, the internal product number tailoring rule of the control variable ② is a structural data cleaning rule defined according to the enterprise standard product numbering rule, based on the structure and granularity required for the RAMS design analysis, and supplements the functional characteristics of the product according to the enterprise standard.

Wherein, the outsourcing material number trimming rule of the control variable ③ is the outsourcing part structure data cleaning rule defined according to the company outsourcing material numbering rule and the structure required for RAMS design analysis, and the outsourcing product is supplemented according to the material standard. functional characteristics.

Wherein, the splitting rule for products of the same specification of the control variable ④ is a rule for splitting products of the same specification and model in the same structural position in the E-BOM according to their different functions due to RAMS analysis.

Wherein, the other parameter binding rules of the control variable ⑤ are for the R-BOM structure, matching the existing design analysis model parameters in the enterprise organization-level RAMS knowledge model base, and assigning the corresponding nodes of the R-BOM according to the matching structure. .

To sum up, due to the adoption of the above-mentioned technical solutions, the beneficial effects of the present invention are:

The invention can ensure the quality and effectiveness of RAMS or general quality characteristic design analysis through computer information technology, thereby making up for the deficiencies of the prior art and improving the effectiveness and efficiency of equipment or product RAMS or general quality characteristic design analysis.

Description of drawings

In order to explain the technical solutions of the embodiments of the present invention more clearly, the accompanying drawings in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be viewed as As a limitation of the scope, for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.

Figure 1 is a schematic diagram of the application scenario of the general quality characteristic indicators of different levels of systems and subsystems.

Figure 2 is a schematic diagram of a typical product design bill of materials (E-BOM).

FIG. 3 is a schematic diagram of a RAMS-oriented design analysis structure rule-based product data cleaning method according to an embodiment of the present invention.

4 is a schematic diagram of an R-BOM based on empirical knowledge and model reuse, which is converted from the product design bill of materials (E-BOM) of FIG. 2 through the product data cleaning method according to an embodiment of the present invention.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Example

As shown in Figure 2, a typical product design bill of materials (E-BOM) is composed of two parts: the structural part ① designed by the enterprise itself and the purchased parts ② purchased from the supply chain. The list contains all design results of the product, such as software, housing, spacers, accessories, etc. But some of them are not subject to RAMS design analysis. However, in this structure, it cannot reflect whether the product is a product on the serviceable level and the relationship with the maintenance level.

The present invention converts the product design bill of materials (E-BOM) shown in FIG. 2 into the R-BOM/RAMS-BOM structure (definition, R-BOM/RAMS) for RAMS design analysis through a rule-based cleaning algorithm -BOM is the design analysis bill of material (RAMS bill of material) for product RAMS or general quality characteristics, which is a collection of product elements required for product RAMS design analysis and maintenance support and their relationship with each other), so as to facilitate further RAMS design analysis and maintenance business use. Therefore, this embodiment proposes a rule-based product data cleaning method for RAMS design and analysis structure, as shown in FIG. 3 , including the following steps:

S1, set control variables, including:

Control variable ①, the product maintenance level division rule; the product maintenance level division rule of the control variable ① is determined according to the definition of the maintenance level of similar products of the enterprise or the analysis of the maintenance level of new products, including the corresponding product number or the code of the purchased material. Maintenance level and maintenance unit, thus forming a regular structure as shown in Table 1.

Table 1, product maintenance level division rule table:

Control variable ②, the internal product number tailoring rule; the internal product number tailoring rule of the control variable ② is based on the enterprise standard product numbering rules (these enterprise standard product numbering rules can often be traced back to industry standards, such as the classification of QJ13A-1997 design documents. number, the classification number of CB 774-2014 navigation product design documents, the number of SJ-T 207.4-2018 design documents, etc.), the structure data cleaning rules defined based on the structure and granularity required for RAMS design analysis, such as software, code, Class structures that do not have RAMS characteristics, such as files and structural parts, can be stripped, and the functional characteristics of the product can be supplemented according to enterprise standards, thus forming a regular structure as shown in Table 2.

Table 2, enterprise standard product structure tailoring rule table:

Control variable ③, outsourcing material number trimming rule; the outsourcing material number trimming rule for control variable ③ is based on the company outsourcing material numbering rules (these enterprise outsourcing material numbering rules are determined by the enterprise's own standards, and can often be traced back to military use. Standard GJB 7000-2010 Classification of Military Supplies and Equipment, GJB 8118-2013 Classification and Code of Military Electronic Components), based on the structural data cleaning rules of purchased parts defined by the structure required for RAMS design analysis, such as software, structural parts, solder, etc. Class structures that do not have RAMS characteristics can be stripped, and the functional characteristics of purchased products can be supplemented according to material standards, thus forming a regular structure as shown in Table 3.

Table 3, outsourcing material number cutting rule table:

Control variable ④, the splitting rule for products of the same specification; the splitting rule for products with the same specification of the control variable ④ is for products with more than 1 product of the same specification and model in the same structural position in the E-BOM. Rules for splitting different functions. This part requires the product designer to split multiple products of the same specification at the same structural position according to their different functions, so as to distinguish different functional structures from the perspective of functional impact. Its subordinate product-level products are separated according to the separation of the master node. Thus, a regular structure as shown in Table 4 can be formed.

Table 4, the rules for splitting products of the same specification:

Control variable ⑤, other parameter binding rules; the other parameter binding rules of described control variable ⑤ are for the R-BOM structure, matching the existing design analysis model parameters in the enterprise organization-level RAMS knowledge model library, and according to the matching structure R -BOM corresponds to the rules of node assignment, which can enhance the effectiveness, quality and efficiency of RAMS analysis, so that mature knowledge models can be reused, such as expected parameters, failure mode parameters, maintenance parameters, etc. This rule can be expanded according to different enterprise needs. In this way, a regular structure as shown in Table 5 can be formed.

Table 5, other parameter binding rules table:

S2, input the E-BOM, the enterprise standard product numbering rule and the outsourcing material numbering rule, and use the control variables to convert the E-BOM into an R-BOM based on empirical knowledge and model reuse.

Specifically, the method for converting an E-BOM into an R-BOM based on empirical knowledge and model reuse by utilizing the control variables includes the following sub-steps:

A, first copy the E-BOM to the RAMS design analysis bill of materials R-BOM; then according to the product maintenance level division rule of the control variable ①, put the maintenance level and maintenance unit corresponding to the E-BOM product number or purchased material code in R - Put a digital label on the corresponding position on the BOM to form the initial R-BOM;

B. On the basis of the initial R-BOM formed in step A, according to the internal product number tailoring rules of control variable ② and the input enterprise standard product numbering rules, the internal product structure of the R-BOM that has nothing to do with RAMS design analysis is stripped; And based on the rules to supplement the functional characteristics of the analysis objects, the R-BOM can be formed for the preliminary design analysis of RAMS;

C. On the basis of the R-BOM formed in step B for the preliminary design analysis of RAMS, according to the outsourcing material number tailoring rules of the control variable ③ and the inputted enterprise outsourcing material numbering rules, the R-BOM and RAMS design Analyze unrelated supply chain outsourcing product structure stripping; and supplement the functional characteristics of analysis objects based on rules to form R-BOM for RAMS design analysis;

D. On the basis of the R-BOM for RAMS design analysis formed in step C, according to the splitting rules for products of the same specification of the control variable ④, the structure of multiple product quantities in the same position structure in the R-BOM is divided according to the similarities and differences of functions Explain that the structure is split to form a RAMS design analysis structure;

E. On the basis of the RAMS design and analysis structure formed in step D, according to the other parameter binding rules of the control variable ⑤, the RAMS design and analysis parameters are assigned to each corresponding structure of the R-BOM to form an R-BOM based on empirical knowledge and model reuse .

Through the above process, the product design bill of materials (E-BOM) shown in Figure 2 is transformed into the R-BOM shown in Figure 4 based on empirical knowledge and model reuse. It can be seen that the present invention can effectively obtain the RAMS design analysis BOM of the product, that is, the R-BOM. And, as can be seen from the above process, the present invention can ensure the quality and effectiveness of RAMS or general quality characteristic design analysis through computer information technology, thereby making up for the deficiencies of the prior art, and improving equipment or product RAMS or general quality characteristic design analysis. effectiveness and efficiency.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (1)

1. A method for cleaning product data based on rules and oriented to an RAMS design analysis structure is characterized by comprising the following steps:

s1, setting control variables including:

controlling a variable (I), and dividing a product maintenance level into rules;

controlling a variable II, and numbering and cutting rules of internal products;

controlling variables and cutting rules of outsourcing material numbers;

controlling variables, and regulating the splitting rule of products with the same specification;

controlling variables, binding rules of other parameters;

s2, inputting the E-BOM, the enterprise standard product numbering rule and the enterprise outsourcing material numbering rule, and converting the E-BOM into an R-BOM based on experience knowledge and model multiplexing by using the control variables; R-BOM is a design analysis bill of materials of the RAMS or the universal quality characteristics of the product;

the method for converting the E-BOM into the R-BOM based on the empirical knowledge and model multiplexing by using the control variables comprises the following sub-steps:

firstly copying E-BOM to RAMS design analysis bill of materials R-BOM; according to a product maintenance level division rule of a control variable I, attaching a digital label to a maintenance level corresponding to an E-BOM product number or a outsourcing material code and a maintenance unit at a corresponding position on the R-BOM to form an initial R-BOM;

b, on the basis of the initial R-BOM formed in the step A, stripping the internal product structure of the enterprise irrelevant to the RAMS design analysis in the R-BOM according to the internal product number cutting rule of the control variable II and the input enterprise standard product number rule; based on the functional characteristics of the rule supplementary analysis object, forming R-BOM for RAMS preliminary design analysis;

c, on the basis of the R-BOM formed in the step B and used for RAMS preliminary design analysis, stripping the structure of a supply chain outsourcing product which is irrelevant to RAMS design analysis in the R-BOM according to an outsourcing material number cutting rule of a control variable C and an input enterprise outsourcing material number rule; supplementing the functional characteristics of the analysis object based on the rule to form R-BOM for RAMS design analysis;

d, on the basis of the R-BOM for RAMS design analysis formed in the step C, according to the same-specification product splitting rule of the control variable (IV), structurally splitting a structure with a plurality of product quantities on the same position structure in the R-BOM according to the functional similarity specification to form an RAMS design analysis structure;

e, on the basis of the RAMS design analysis structure formed in the step D, performing RAMS design analysis parameter assignment on each corresponding structure of the R-BOM according to other parameter binding rules of the control variable (c) to form the R-BOM based on experience knowledge and model multiplexing;

the product maintenance level division rule of the control variable (I) is a rule defined according to similar product maintenance levels of enterprises or determined by analyzing new product maintenance levels, and comprises a maintenance level and a maintenance unit corresponding to a product number or outsourcing material codes;

the internal product number cutting rule of the control variable II is a structural data cleaning rule defined based on the RAMS design analysis required structure and granularity according to the enterprise standard product number rule, and supplements the functional characteristics of the product according to the enterprise standard;

the outsourcing material number cutting rule of the control variable (c) is an outsourcing member structure data cleaning rule defined according to an enterprise outsourcing material number rule and a structure required by RAMS design analysis, and the functional characteristics of an outsourcing product are additionally defined according to material standards;

the splitting rule of the product with the same specification of the control variable (IV) is a rule aiming at the fact that products with the same specification and model number more than 1 at the same structural position in the E-BOM are split according to different functions of the products due to RAMS analysis;

and the other parameter binding rules of the control variable (c) are rules for matching the existing design analysis model parameters in the enterprise organization-level RAMS knowledge model base aiming at the R-BOM structure and assigning values to the corresponding nodes of the R-BOM according to the matching structure.

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