CN113688444B - Enterprise material model selection method based on knowledge engineering - Google Patents

Enterprise material model selection method based on knowledge engineering Download PDF

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CN113688444B
CN113688444B CN202111245493.1A CN202111245493A CN113688444B CN 113688444 B CN113688444 B CN 113688444B CN 202111245493 A CN202111245493 A CN 202111245493A CN 113688444 B CN113688444 B CN 113688444B
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陈嘉佳
温多林
戴俊恺
卞梓名
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Nanjing Guorui Xinwei Software Co ltd
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Abstract

The invention relates to a knowledge engineering-based enterprise material model selection method, which belongs to the technical field of intelligent resource model selection, and comprises the steps of (1) establishing resource classification and (2) establishing a supplier management catalog; (3) customizing resources, namely selecting a knowledge directory, importing resource entries, associating supplier information and associating entity file information; (4) standardized and domestic analysis; (5) searching specific target resources, automatically matching associated replaceable domestic materials, comparing the materials, and automatically searching and arranging similar referenceable resources; (6) and applying the searched resources to link to a webpage end and a CAD end to guide research and development design. The invention comprehensively integrates the research and development cost, efficiency, standardization degree and localization rate, provides complete data for the product from a design source, and improves the reliability of the design.

Description

Enterprise material model selection method based on knowledge engineering
Technical Field
The invention relates to an enterprise material model selection method based on knowledge engineering, and belongs to the technical field of intelligent resource model selection research and development.
Background
At present, a lot of enterprises have a serious out-of-control situation for research and development resource management and control of the enterprises, the material number is frequently increased, and one object has multiple codes, so that a large amount of management cost and resource waste are increased. Research and development personnel who have little experience teaching or are not completely familiar with enterprise products cannot acquire the standard library and the resource library accumulated by enterprise sediments in the research and development working process, so that the research and development period is too long. Meanwhile, the related material information data of a design end, a process end, a manufacturing end, a stock end, a financial end and the like need to be considered synchronously in the design process by experienced research and development personnel, so that resources are utilized better, the product development cost is reduced pertinently, and the product development efficiency is improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides an enterprise material model selection method based on knowledge engineering, which has the following specific technical scheme:
the enterprise material model selection method based on knowledge engineering comprises the following steps:
step (1) establishing resource classification, including resource type, resource classification structure and resource classification attribute;
step (2) establishing a supplier management catalog and maintaining supplier entries;
defining a resource classification library, customizing a resource selection knowledge directory, importing and maintaining resource items, associating supplier information and associating entity file information;
step (4) standardization and localization analysis, wherein the overall standardization proportion of the plan product and the semi-finished product and the localization proportion of the parts are searched, so that the design structure of a new product is optimized, and the standardization and localization of the parts are promoted;
searching based on the knowledge catalog, searching specific target resources, automatically matching associated replaceable domestic materials, comparing the materials, providing similar piece searching based on searching parameters, and automatically searching and arranging similar referenceable resources;
and (6) applying the retrieved resources, linking to a webpage end and a CAD end, and guiding research and development design.
Further, the process of establishing the resource classification in step (1) is as follows:
step 1.1) defining enterprise resources that can be classified,
step 1.2) defining a resource management structure tree,
step 1.3) defining the resource classification attribute.
Further, the resource classification library definition process of step (3) is as follows:
step 3.1) defining an enterprise-level knowledge management directory according to the resource classification structure, associating the resource classification structure with the entry management directory,
step 3.2) associate the resource entry with the provider information.
Further, the specific results of the standardized and localization analysis in the step (4) are as follows:
the localization rate is calculated according to the following formula:
C＝A/B ×100%
c: the localization rate;
a: price (or weight) of domestic produced pieces in a single product;
b: the total price (or weight) of a single product;
normalization coefficient statistical formula:
Figure DEST_PATH_IMAGE001
×100%
Figure DEST_PATH_IMAGE002
: "filed" standard parts, components, whole parts and assembly total numbers in a product;
Figure DEST_PATH_IMAGE003
: "filed" universal parts, borrowed parts, whole parts, and assembly total pieces in a product;
Figure DEST_PATH_IMAGE004
: "filed" outsourced parts, components and total pieces in the product;
Figure DEST_PATH_IMAGE005
: all parts, components, whole pieces, and assembly totals are "filed" in the product.
Further, the searching process and characteristics based on the knowledge catalog in the step (5) are as follows:
step 5.1) resource retrieval recommends replaceable materials, the searched materials are automatically matched with domestic suppliers defined in the resource library according to the search parameters, designers are provided to replace domestic resources,
step 5.2) searching and recommending similar piece resources by resource retrieval, configuring a similarity algorithm according to configurable search conditions, arranging all materials from high similarity to low similarity,
step 5.3) attribute similarity application algorithm:
Figure DEST_PATH_IMAGE006
the following is calculated according to the euclidean distance formula:
Figure DEST_PATH_IMAGE007
x and y represent two condition attributes of the target material; and aiming at the target material, according to the search condition attribute, firstly, comparing the overall similarity according to a cosine formula, if the result of the cosine formula is not more than 0.08, arranging according to an Euclidean distance formula, and finally, arranging and recommending the final result in a list from high to low.
Further, the step (6) applies the retrieved resources to a webpage end and a CAD end:
step 6.1) the research and development personnel comprise a structural design engineer and a BOM engineer, directly apply the information in the resource library to the corresponding webpage end or the CAD end according to the result correspondingly searched in the step 6,
step 6.2) the webpage end applies the retrieval result to the establishment of the corresponding BOM document object to establish the association;
and 6.3) after the CAD tool side application retrieval, applying the material information to the model, finding out a corresponding associated three-dimensional model file through the component, finding out corresponding schematic diagram packaging information through the component, and applying the schematic diagram packaging information to the CAD tool.
The invention has the beneficial effects that:
the invention provides a set of resource management method for enterprises in a targeted manner, so that the enterprises can flexibly establish a knowledge management system according to self services, fully manage the core resources of the integral parts of the enterprises, reuse the resources to the maximum extent and embody the resources from the source of design.
From the company overall, the improvement on the cost, efficiency, standardization degree, localization rate and the like of research and development improves the market competitiveness of the product, provides a valuable foundation for the sustainable and diversified development of the company product, and enables research and development managers to pay attention to the defined standardization and localization rate targets through retrieval.
Drawings
Figure 1 is a schematic diagram of the enterprise repository tiling of the present invention,
figure 2 is a schematic diagram of an enterprise repository system of the present invention,
figure 3 is a diagram of a vendor management library,
figure 4 is a view of a resource directory management,
figure 5 is a view of a universal directory of resources,
FIG. 6 is a resource retrieval catalog.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings.
As shown in fig. 1 and 2, step one of the present invention: resource classification definitions
1. Firstly, entering a classification definition module, and defining a classification structure of the content to be classified and managed by the enterprise according to the requirement, as shown in fig. 1
2. For example, the components may be classified into "standard components", "electronic components", "materials", and the like, and the sub-types of "screws", "nuts", "washers", and the like may be classified based on the "standard components", and the types of "hexagon screws" may be finally subdivided based on the "screws" and the like.
3. On the basis of each subtype, differentiation parameters are defined according to the classification, namely corresponding classification attributes are defined, for example, thread types are defined for a screw class, and differentiation parameters such as screw diameters are defined for a nut class.
Step two: vendor management as shown in fig. 3.
1. Entering a supplier management module, and filling out supplier information such as a supplier name, a supplier code number and the like aiming at the newly-built supplier catalogue.
Step three: resource classification library definitions, as shown in FIG. 4.
1. According to the integral classification structure, an enterprise level management directory is defined, corresponding resources are imported and maintained into a resource library, all material numbers and material information of an enterprise in the library or produced in the library are unified into the library in an importing and maintaining mode, and a library resource application process is synchronized with library resource information subsequently, so that the uniformity of full-platform resource information is guaranteed.
2. The resource pool entries are associated with suppliers, such as the same parameter screw, for supplier A and supplier B, one being a domestic supplier and the other being an import supplier, and the synchronization may be associated with the resource entries.
Step four: standardized, home-made analysis
1. For the products in the library, data analysis can be performed in a targeted manner, the standardization rate is the proportion of all related materials in the library, and the material state in the library must be 'filed', and the formula is as follows:
normalization coefficient statistical formula:
Figure 652310DEST_PATH_IMAGE001
×100%
Figure 472847DEST_PATH_IMAGE002
: "filed" standard parts, components, whole parts and assembly total numbers in a product;
Figure 783742DEST_PATH_IMAGE003
: "filed" universal parts, borrowed parts, whole parts, and assembly total pieces in a product;
Figure 585476DEST_PATH_IMAGE004
: "filed" outsourced parts, components and total pieces in the product;
Figure 665428DEST_PATH_IMAGE005
: all parts, components, whole pieces, and assembly totals are "filed" in the product.
2. Aiming at the products in the library, the method can analyze the localization rate in a targeted way and is used as reference for the research and development of subsequent products, and the localization rate is calculated according to the following formula:
c: the localization rate;
a: price or weight of domestic produced pieces in a single product;
b: the total price (or weight) of a single product;
C＝A/B ×100%
step five: knowledge-based directory retrieval
1. Based on the knowledge catalog retrieval, as shown in fig. 5 and 6, the whole search is performed by general information such as codes, names, creators, and the like by means of the whole retrieval.
2. According to specific types of information, resource contents can be opened by searching the classification structure and clicking the classification structure, and the search is performed through characteristic classification attributes, and the recommendation of different suppliers of the same material can be automatically performed according to the specific searched result.
3. Aiming at the fact that overall similar materials need to be referred to in the product research and development process, specific parameters can be input in a resource library through a similarity query function, materials with high repetition degrees of the specific parameters are queried according to a similarity calculation formula, and overall query sequencing is conducted according to functions provided by the patent by combining multiple parameters such as length, width, weight and the like, so that research and development personnel can refer to the materials. The reference formula is as follows:
Figure 19049DEST_PATH_IMAGE006
example (c):
searching parameters of a target material A, wherein the length is 120mm, the width is 200mm, the height is 100mm, the weight is 300g, the material ABS,
similar material B parameters, length 120mm, width 220mm, height 100mm, weight 350g, material ABS
First all parameters are listed:
（120,200,100,300,ABS,220,350）
calculating word frequency vectors
Material A (1, 1,1,1,1,0, 0)
Material B (1, 0,1,0,1,1, 0)
Figure DEST_PATH_IMAGE008
The materials A and B are calculated according to the Euclidean distance formula as follows:
Figure DEST_PATH_IMAGE009
and aiming at the target material A, comparing the overall similarity according to a cosine formula by taking A as a reference according to the search condition attributes, if the cosine formula results are consistent, arranging according to an Euclidean distance formula, and finally arranging and recommending the final results in a list from high to low.
Step six: and applying the retrieved resources to a webpage end and a CAD end.
1. And aiming at the retrieval capability in the step five, the capability of synchronously calling the knowledge resource library by the open webpage end and the CAD end, for example, when the three-dimensional structure is designed, an engineer calls the knowledge retrieval capability, inquires the required material, judges the attribute and the supplier of the material and analyzes whether the material is available.
2. When the engineer confirms that the material is available, clicking the application material automatically applies the material information in the knowledge base to the attributes of the CAD tool end
3. Aiming at the three-dimensional model, an engineer calls a retrieval query similar or available model, and automatically loads an entity three-dimensional graph file associated with the components in the library to a CAD tool end after application
4. And when BOM is built for the webpage end, the contents of the retrieval resource library are called, and the material information is applied to the webpage end system after the selection is confirmed.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.

Claims (3)

1. An enterprise material model selection method based on knowledge engineering is characterized in that: the method comprises the following steps:
step (1) establishing resource classification, including resource type, resource classification structure and resource classification attribute;
step (2) establishing a supplier management catalog and maintaining supplier entries;
defining a resource classification library, customizing a resource selection knowledge directory, importing and maintaining resource items, associating supplier information and associating entity file information, and specifically:
step 3.1) defining an enterprise-level knowledge management directory according to the resource classification structure, associating the resource classification structure with the entry management directory,
step 3.2) associating the resource items with provider information;
step (4) standardization and localization analysis are carried out, the overall standardization proportion of the planned product and the semi-finished product and the localization proportion of the parts are searched, so that the design structure of a new product is optimized, and the standardization and localization of the parts are promoted;
and (5) retrieving based on the knowledge catalog, retrieving target resources, automatically matching associated domestic materials, comparing the materials, and automatically retrieving and arranging reference resources based on retrieval parameters, wherein the method specifically comprises the following steps:
step 5.1) resource retrieval recommends replaceable materials, the searched materials are automatically matched with domestic suppliers defined in the resource library according to the search parameters, designers are provided to replace domestic resources,
step 5.2) searching and recommending similar piece resources by resource retrieval, configuring a similarity algorithm according to configurable search conditions, arranging all materials from high similarity to low similarity,
step 5.3) attribute similarity application algorithm:
Figure 512264DEST_PATH_IMAGE001
the following is calculated according to the euclidean distance formula:
Figure 147514DEST_PATH_IMAGE002
x and y represent two condition attributes of the target material; aiming at a target material, according to search condition attributes, overall similarity is compared according to a cosine formula, if the result of the cosine formula is not more than 0.08, the cosine formula is arranged according to an Euclidean distance formula, and the final result is arranged and recommended in a list from high to low;
and (6) applying the retrieved reference resources, linking the reference resources to a webpage end and a CAD end, and guiding research and development design, wherein the method specifically comprises the following steps:
step 6.1) the research and development personnel comprise a structural design engineer and a BOM engineer, directly apply the information in the resource library to the corresponding webpage end or the CAD end according to the result correspondingly searched in the step 6,
step 6.2) the webpage end applies the retrieval result to the establishment of the corresponding BOM document object to establish the association;
and 6.3) after the CAD tool end is applied and retrieved, applying the material information to the model, finding out a corresponding associated three-dimensional model file through the component, finding out corresponding schematic diagram packaging information through the component, and applying the schematic diagram packaging information to the CAD tool.
2. The knowledge engineering-based enterprise material typing method according to claim 1, wherein the step (1) of establishing the resource classification comprises the following steps:
step 1.1) defining the classified enterprise resources,
step 1.2) defining a resource management structure tree,
step 1.3) defining the resource classification attribute.
3. The knowledge engineering-based enterprise material typing method according to claim 1, wherein the step (4) of standardizing and localizing analysis has the following specific results:
the localization rate is calculated according to the following formula:
C＝A/B ×100%
c: the localization rate;
a: price or weight of domestic produced pieces in a single product;
b: the total price or weight of a single product;
normalization coefficient statistical formula:
Figure 661672DEST_PATH_IMAGE003
×100%
Figure 525723DEST_PATH_IMAGE004
: "filed" standard parts, components, whole parts and assembly total numbers in a product;
Figure 808937DEST_PATH_IMAGE005
: "filed" general parts, borrowed parts, whole parts, and total number of components in a product;
Figure 100241DEST_PATH_IMAGE006
: "filed" outsourced parts, components and total pieces in the product;
Figure 350962DEST_PATH_IMAGE007
: all parts, components, whole pieces, and assembly totals are "filed" in the product.
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