CN113761739A - Standardized cost decomposition structure construction method based on equipment characteristics - Google Patents
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Abstract
A standardized expense decomposition structure construction method based on equipment characteristics comprises the steps of firstly carrying out data sorting on historical equipment project data, and carrying out data statistical analysis on a data set according to metadata and data standards and in combination with an equipment type catalog; respectively extracting information such as equipment types, equipment system compositions, equipment technical indexes and the like according to equipment categories based on historical equipment project data, and extracting equipment characteristic information; and finally abstracting the product decomposition structure commonality characteristics of the typical equipment type, matching the expense subject type for equipment component objects of different levels in the equipment composition structure, and constructing an equipment standardized expense decomposition structure. The method can be widely applied to data acquisition management of different types of equipment, effectively solves the problem of structured management and evaluation of multi-level and multi-dimensional economic and technical index data of the equipment, greatly reduces the difficulty in acquisition and editing management of economic data of the equipment, and improves the design, analysis and evaluation efficiency of equipment schemes.
Description
Technical Field
The invention relates to the technical field of equipment economic analysis, in particular to a standardized cost decomposition structure construction method based on equipment characteristics.
Background
The method is oriented to the development trend and the actual demand of intelligent manufacturing of national defense equipment in a new period, and under the condition that the industrial big data infrastructure is gradually improved, new requirements are provided for the technical standardization, integration and intellectualization aspects of the economic analysis of the equipment so as to adapt to the development trend of the virtual manufacturing and system engineering development technology of the equipment.
The traditional method for collecting, arranging and sharing the equipment data restricts the development of the economic analysis design of the equipment, the systematization, standardization, intellectualization, high efficiency and convenient collection of the economic data of the equipment become urgent needs, the scientific development of the economic analysis, scheme design and cost control of the equipment is promoted, and the economic design of the equipment is matched with the intelligent manufacturing production process.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a standardized expense decomposition structure construction method based on equipment characteristics, abstract the product decomposition structure common characteristics of typical equipment types based on historical equipment project data, face equipment component objects of different levels in an equipment composition structure, match expense subject types and construct an equipment standardized expense decomposition structure.
The technical problem to be solved by the invention is realized by the following technical scheme, and the invention relates to a standardized cost decomposition structure construction method based on equipment characteristics, which comprises the following steps:
(1) carrying out data sorting on historical equipment project data, and carrying out data statistical analysis on a data set by combining an equipment type catalog according to metadata and data standards;
(2) based on historical equipment project data, respectively extracting information of equipment types, equipment system compositions and equipment technical indexes according to equipment categories, and extracting equipment characteristic information;
(3) abstracting the common characteristic of a product decomposition structure of a typical equipment type, matching expense subject types to equipment component objects of different levels in an equipment composition structure, and constructing an equipment standardized expense decomposition structure.
The technical problem to be solved by the present invention can be further solved by the following technical solution, wherein for the above standardized expense decomposition structure construction method based on equipment characteristics, the specific content of the step (1) is as follows:
(1.1) data compilation processing
Based on metadata definition and rule definition of data standard, checking data types and formats of different data fields of historical equipment expense data, and completing or eliminating abnormal data and null data, wherein the rule of data compilation processing comprises the following contents:
(1.1.1) checking and format conversion of data types and format rules of numerical types, time types, enumeration types and text types;
(1.1.2) summarizing and calculating data detail items, checking consistency of the data detail items and the data sum value, and correcting content;
(1.1.3) cross-table data reference data integrity check and content completion;
(1.1.4) finally, storing the result of the data cleaning into an equipment expense data resource library;
(1.2) statistical analysis of equipment types
Classifying and summarizing the equipment in the historical project library, classifying the equipment of each historical project by combining with the equipment standard category to form an equipment classification statistical result, wherein the processing rule mainly comprises the following contents:
(1.2.1) reading equipment standard category information;
(1.2.2) comparing the equipment types in the historical database with the standard categories;
(1.2.3) for equipment types which can not be matched with the standard categories, carrying out fuzzy matching on the classification of the equipment types by adopting a semantic analysis method;
(1.2.4) forming equipment classification statistical data of the historical items, and performing classification marking on each historical item.
The technical problem to be solved by the present invention can be further solved by the following technical solution, wherein for the above standardized expense decomposition structure construction method based on equipment characteristics, the specific content of the step (2) is as follows:
(2.1) building Equipment feature analysis resources
According to the equipment system classification, extracting the characteristics of equipment composition structure data, performance index data and expense structure data, and constructing data resources for equipment characteristic analysis, wherein the processing rule mainly comprises the following contents:
(2.1.1) extracting configuration hierarchies of different granularity objects of equipment, systems and equipment;
(2.1.2) extracting performance index information of objects of equipment, a system and equipment;
(2.1.3) extracting the master or benchmark type information of the object of the equipment, system, device;
(2.1.4) incorporating configuration information and performance index information of equipment, a system and equipment into a feature analysis unified data resource space;
(2.2) extracting equipment feature information
According to historical equipment data, characteristics are respectively extracted from equipment basic information, equipment female type information, equipment performance index information and equipment system composition information to form a uniform characteristic analysis space, the characteristic extraction of equipment units with different granularities of equipment, systems and equipment is completed, and the extracted data characteristics comprise the following contents:
(2.2.1) extracting nouns or characteristics containing equipment types from the equipment names, wherein the nouns or characteristics comprise the equipment types and name keywords contained in the equipment names;
(2.2.2) extracting classification characteristics of the information of the master equipment, wherein the classification characteristics comprise a master equipment large class, master equipment name type characteristics and a master equipment system composition structure to which the master equipment belongs;
(2.2.3) extracting performance index features, including main parameter name features and parameter combination features;
and (2.2.4) extracting equipment composition structure features, including keyword features of system names, system combination structure features and system hierarchy relation features.
The technical problem to be solved by the present invention can be further solved by the following technical solution, wherein for the above standardized expense decomposition structure construction method based on equipment characteristics, the specific content of step (3) is as follows:
(3.1) Equipment similarity comparison analysis
Carrying out similarity measurement on multi-level equipment composition units in historical equipment data through clustering analysis, and finishing cross comparison and clustering of equipment units with different granularities, wherein the processing rule mainly comprises the following contents:
(3.1.1) in the equipment feature space, performing similarity measurement on each sample data feature;
(3.1.2) different granularity units of equipment, systems and equipment can be subjected to cross comparison analysis;
(3.1.3) completing the collection of the same type of equipment by measuring the similarity and combining equipment categories;
(3.2) common composition structure of extraction equipment
According to the equipment similarity measurement, common system structure comparison is carried out on data samples at a plurality of angles of the same type, the similar type and the mother type, the distribution rules of common composition structures and units of equipment, systems or equipment with different granularities are gathered and counted step by step, and the processing rule mainly comprises the following contents:
(3.2.1) constructing the relation among similar equipment units of the same type, the similar type and the parent type based on the similarity measurement of different granularity objects of equipment, a system and equipment;
(3.2.2) respectively counting the coincidence degree of the system structures in the similarity aggregation object set, and counting the distribution condition of the coincidence configuration;
(3.2.3) establishing a common component structure model of the equipment according to common configuration judgment standards of the equipment, the system and the equipment;
(3.3) construction of standardized Equipment expense decomposition Structure
According to the structural features of different types of equipment, forming an equipment large-class standardized cost decomposition structural template, adapting to the common structural feature definition of different subdivision types of equipment under the equipment large class, and defining applicable cost subject information for each level of structural units, wherein the standardized equipment cost decomposition structural template comprises the following contents:
(3.3.1) equipment platform type classification, including equipment platforms of the type of aircrafts, spacecraft, naval vessels and ships, tanks, armored vehicles, missile and missile systems, vehicles;
(3.3.2) the equipment forms a structure tree which comprises the contents of structure unit codes, parent node codes, parent equipment, performance indexes and loading quantity;
and (3.3.3) based on the expense subject definition of the equipment composition structure unit, storing the processed tree data set in an expense decomposition structure database, and uniformly managing the data version.
Compared with the prior art, the invention establishes a standardized expense decomposition structure construction method based on equipment characteristics, can effectively standardize heterogeneous complex equipment data resources, and meets the basic requirements of data management and resource development; the method is successfully applied to a plurality of equipment economic analysis and evaluation systems, realizes data acquisition and application in a plurality of modes such as networking isomerism, offline single machine and the like, and has the remarkable advantages that:
(1) the method innovatively adopts a semantic analysis technology to perform fuzzy identification on equipment system classification;
(2) the innovation proposes that the characteristic analysis mining is carried out on multiple dimensions such as equipment basic information, equipment composition structures, equipment performance indexes and the like, and the equipment characteristic information is extracted;
(3) the method creatively realizes the characteristic comparison and similarity measurement of the cross-level multi-type equipment unit, generates a standardized structure model of the multi-type equipment, provides a standardized and normalized data resource basis for the equipment economic data integration and reprocessing, and is a necessary means for improving the data availability.
Drawings
FIG. 1 is a schematic diagram of a standardized cost decomposition structure construction method based on equipment characteristics according to the present invention;
FIG. 2 is a schematic diagram of a characteristic data extraction process based on historical equipment in the method of the present invention.
Detailed Description
In order to make the objects, 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 of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a standardized cost decomposition structure construction method based on equipment characteristics, according to the acquisition management requirements of mass equipment cost data, comprises the following steps:
the method comprises the following steps of firstly, carrying out data sorting on historical equipment project data, carrying out data statistical analysis on a data set by combining an equipment type catalog according to metadata and data standards, and carrying out detailed processing steps as follows:
(1) data reorganization processing:
and based on the metadata definition and the rule definition of the data standard, checking the data types and formats of different data fields of the historical equipment expense data, and supplementing or eliminating abnormal data and null data. The rules for data editing processing mainly comprise data types such as numerical value types, time types, enumeration types, text types and the like and format rule checking and format conversion; the data detail items are summarized and calculated, the consistency check of the data sum value is carried out, and the content error correction is carried out; the cross-table data quotes data integrity check and content supplement, and finally, the result after data cleaning is stored in an equipment expense data resource library;
(2) equipment type statistical analysis:
classifying and summarizing the equipment in the historical project library, classifying the equipment of each historical project by combining with the equipment standard category to form an equipment classification statistical result, and firstly reading the equipment standard category information; comparing the equipment types in the historical database with the standard categories; for equipment types which can not be matched with the standard categories, a semantic analysis method is adopted to carry out fuzzy matching on the classification of the equipment types; forming equipment classification statistical data of historical items, and performing classification marking on each historical item;
secondly, based on historical equipment project data, respectively extracting information such as equipment types, equipment system compositions, equipment technical indexes and the like according to equipment categories, and extracting equipment characteristic information, wherein the detailed steps are as follows:
(1) constructing equipment characteristic analysis resources:
according to equipment system classification, extracting the characteristics of equipment composition structure data, performance index data and expense structure data, constructing data resources for equipment characteristic analysis, and firstly extracting configuration hierarchical structures of different granularity objects such as equipment, a system and equipment; extracting performance index information of objects such as equipment, a system, equipment and the like; extracting the mother type or reference type information of the objects such as equipment, a system, equipment and the like; configuration information, performance index information and cost data of equipment, a system and equipment are brought into a feature analysis unified data resource space;
(2) extracting equipment characteristic information:
according to historical equipment data, characteristics of equipment basic information, equipment mother type information, equipment performance index information, equipment system composition information and the like are respectively extracted to form a uniform characteristic analysis space, and characteristic extraction of equipment units with different granularities such as equipment, systems and equipment is completed. The extracted data features comprise that nouns or features containing equipment types are extracted from equipment names, wherein the nouns or features comprise equipment types and name keywords contained in the equipment names; extracting classification characteristics of the information of the female equipment, including equipment categories to which the female equipment belongs, name type characteristics of the female equipment, cost characteristics of the female equipment, a system composition structure of the female equipment and the like; extracting performance index features, including main parameter name features, parameter combination features and the like; extracting equipment composition structural features including keyword features of system names, system combination structural features, system hierarchy relationship features and the like;
thirdly, abstracting the product decomposition structure commonality characteristics of typical equipment types, matching expense subject types facing equipment component objects of different levels in the equipment composition structure, and constructing an equipment standardized expense decomposition structure, wherein the detailed steps are as follows:
(1) equipment similarity comparison analysis:
and performing similarity measurement on the multi-level equipment composition units in the historical equipment data through clustering analysis to complete cross comparison and clustering of the equipment units with different granularities. In an equipment feature space, performing similarity measurement on each sample data feature; different granularity units such as equipment, a system and equipment can be subjected to cross comparison analysis; the collection of the same type of equipment is completed by measuring the similarity and combining the equipment categories;
(2) the extraction equipment has a common composition structure:
according to the equipment similarity measurement, common system structure comparison is carried out on the data samples at a plurality of angles such as the same type, the similar type, the mother type and the like, and the distribution rules of common composition structures and units of equipment, systems or equipment with different granularities are gathered and counted step by step; establishing relationships among similar equipment units with dimensions of the same type, the similar type, the mother type and the like based on similarity measurement of different granularity objects of equipment, a system, equipment and the like; respectively counting the similarity coincidence degrees of the system structures in the similarity aggregation object set, and counting the distribution condition of the similarity configuration; establishing a common component structure model of the equipment according to common configuration judgment standards of the equipment, the system and the equipment;
(3) constructing a standardized equipment cost decomposition structure:
according to the structural characteristics of different types of equipment, forming an equipment large-class standardized cost decomposition structural template, adapting to the common structural characteristic definition of different subdivision types of equipment under the equipment large class, and defining applicable cost subject information for each level of structural units, wherein the standardized equipment cost decomposition structural template comprises equipment platform type classification including equipment platforms of types such as aircrafts, spacecrafts, naval vessels and ships, tanks, armored vehicles, missile and missile systems, vehicles and the like; the equipment forms a structure tree which comprises the contents of structure unit coding, parent node coding, mother equipment, performance indexes, loading quantity and the like; and storing the processed tree data set in a cost decomposition structure database based on the cost subject definition of the equipment composition structure unit, and uniformly managing the data version.
The method for constructing the standardized expense decomposition structure based on the equipment characteristics can be widely applied to data acquisition and management of different types of equipment, serves the work of equipment economy analysis, price evaluation, price review, planning and the like, effectively solves the problem of structural management and evaluation of multi-level and multi-dimensional economy and technical index data of the equipment, greatly reduces the difficulty in acquisition and editing management of the economic data of the equipment, and improves the design, analysis and evaluation efficiency of equipment schemes.
Claims (4)
1. A standardized expense decomposition structure construction method based on equipment characteristics is characterized by comprising the following steps: the method comprises the following steps:
(1) carrying out data sorting on historical equipment project data, and carrying out data statistical analysis on a data set by combining an equipment type catalog according to metadata and data standards;
(2) based on historical equipment project data, respectively extracting information of equipment types, equipment system compositions and equipment technical indexes according to equipment categories, and extracting equipment characteristic information;
(3) abstracting the common characteristic of a product decomposition structure of a typical equipment type, matching expense subject types to equipment component objects of different levels in an equipment composition structure, and constructing an equipment standardized expense decomposition structure.
2. The equipment feature based standardized cost decomposition structure building method according to claim 1, wherein: the specific content of the step (1) is as follows:
(1.1) data compilation processing
Based on metadata definition and rule definition of data standard, checking data types and formats of different data fields of historical equipment expense data, and completing or eliminating abnormal data and null data, wherein the rule of data compilation processing comprises the following contents:
(1.1.1) checking and format conversion of data types and format rules of numerical types, time types, enumeration types and text types;
(1.1.2) summarizing and calculating data detail items, checking consistency of the data detail items and the data sum value, and correcting content;
(1.1.3) cross-table data reference data integrity check and content completion;
(1.1.4) finally, storing the result of the data cleaning into an equipment expense data resource library;
(1.2) statistical analysis of equipment types
Classifying and summarizing the equipment in the historical project library, classifying the equipment of each historical project by combining with the equipment standard category to form an equipment classification statistical result, wherein the processing rule mainly comprises the following contents:
(1.2.1) reading equipment standard category information;
(1.2.2) comparing the equipment types in the historical database with the standard categories;
(1.2.3) for equipment types which can not be matched with the standard categories, carrying out fuzzy matching on the classification of the equipment types by adopting a semantic analysis method;
(1.2.4) forming equipment classification statistical data of the historical items, and performing classification marking on each historical item.
3. The equipment feature based standardized cost decomposition structure building method according to claim 1, wherein: the specific content of the step (2) is as follows:
(2.1) building Equipment feature analysis resources
According to the equipment system classification, extracting the characteristics of equipment composition structure data, performance index data and expense structure data, and constructing data resources for equipment characteristic analysis, wherein the processing rule mainly comprises the following contents:
(2.1.1) extracting configuration hierarchies of different granularity objects of equipment, systems and equipment;
(2.1.2) extracting performance index information of objects of equipment, a system and equipment;
(2.1.3) extracting the master or benchmark type information of the object of the equipment, system, device;
(2.1.4) incorporating configuration information and performance index information of equipment, a system and equipment into a feature analysis unified data resource space;
(2.2) extracting equipment feature information
According to historical equipment data, characteristics are respectively extracted from equipment basic information, equipment female type information, equipment performance index information and equipment system composition information to form a uniform characteristic analysis space, the characteristic extraction of equipment units with different granularities of equipment, systems and equipment is completed, and the extracted data characteristics comprise the following contents:
(2.2.1) extracting nouns or characteristics containing equipment types from the equipment names, wherein the nouns or characteristics comprise the equipment types and name keywords contained in the equipment names;
(2.2.2) extracting classification characteristics of the information of the master equipment, wherein the classification characteristics comprise a master equipment large class, master equipment name type characteristics and a master equipment system composition structure to which the master equipment belongs;
(2.2.3) extracting performance index features, including main parameter name features and parameter combination features;
and (2.2.4) extracting equipment composition structure features, including keyword features of system names, system combination structure features and system hierarchy relation features.
4. The equipment feature based standardized cost decomposition structure building method according to claim 1, wherein: the specific content of the step (3) is as follows:
(3.1) Equipment similarity comparison analysis
Carrying out similarity measurement on multi-level equipment composition units in historical equipment data through clustering analysis, and finishing cross comparison and clustering of equipment units with different granularities, wherein the processing rule mainly comprises the following contents:
(3.1.1) in the equipment feature space, performing similarity measurement on each sample data feature;
(3.1.2) different granularity units of equipment, systems and equipment can be subjected to cross comparison analysis;
(3.1.3) completing the collection of the same type of equipment by measuring the similarity and combining equipment categories;
(3.2) common composition structure of extraction equipment
According to the equipment similarity measurement, common system structure comparison is carried out on data samples at a plurality of angles of the same type, the similar type and the mother type, the distribution rules of common composition structures and units of equipment, systems or equipment with different granularities are gathered and counted step by step, and the processing rule mainly comprises the following contents:
(3.2.1) constructing the relation among similar equipment units of the same type, the similar type and the parent type based on the similarity measurement of different granularity objects of equipment, a system and equipment;
(3.2.2) respectively counting the coincidence degree of the system structures in the similarity aggregation object set, and counting the distribution condition of the coincidence configuration;
(3.2.3) establishing a common component structure model of the equipment according to common configuration judgment standards of the equipment, the system and the equipment;
(3.3) construction of standardized Equipment expense decomposition Structure
According to the structural features of different types of equipment, forming an equipment large-class standardized cost decomposition structural template, adapting to the common structural feature definition of different subdivision types of equipment under the equipment large class, and defining applicable cost subject information for each level of structural units, wherein the standardized equipment cost decomposition structural template comprises the following contents:
(3.3.1) equipment platform type classification, including equipment platforms of the type of aircrafts, spacecraft, naval vessels and ships, tanks, armored vehicles, missile and missile systems, vehicles;
(3.3.2) the equipment forms a structure tree which comprises the contents of structure unit codes, parent node codes, parent equipment, performance indexes and loading quantity;
and (3.3.3) based on the expense subject definition of the equipment composition structure unit, storing the processed tree data set in an expense decomposition structure database, and uniformly managing the data version.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115529197A (en) * | 2022-08-26 | 2022-12-27 | 广东亿迅科技有限公司 | Large-scale data policy control method, device, equipment and storage medium |
| CN115529197B (en) * | 2022-08-26 | 2024-07-09 | 广东亿迅科技有限公司 | Policy control method, device, equipment and storage medium for large-scale data |
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