CN114090750A - Method and equipment for quickly and accurately matching component models and storage medium - Google Patents
Method and equipment for quickly and accurately matching component models and storage medium Download PDFInfo
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- CN114090750A CN114090750A CN202111326804.7A CN202111326804A CN114090750A CN 114090750 A CN114090750 A CN 114090750A CN 202111326804 A CN202111326804 A CN 202111326804A CN 114090750 A CN114090750 A CN 114090750A
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Abstract
The invention discloses a method, equipment and a storage medium for quickly and accurately matching component models, wherein the method comprises the following steps: creating a model database; acquiring a field to be detected, and splitting the field to be detected into a plurality of different elements through a preset splitting rule; arranging the split different elements to form a plurality of new fields; carrying out full word matching on the plurality of new fields and the model in the model database, and confirming the model in the matched model database; the model in the matched model database is output, and the matching is finished, so that the method for quickly and accurately matching the model of the component disclosed by the invention realizes the quick and accurate matching of the model required by the customer by counting and classifying the customer model and the market model, splitting the retrieval model and then quickly comparing the retrieval model.
Description
Technical Field
The invention relates to the field of computer software development, in particular to a method, equipment and a storage medium for quickly and accurately matching component models.
Background
At present, the definition of the model of the internet electronic component industry is relatively complex, and firstly, the definition of the model of the electronic component is different in different countries. Secondly, different manufacturers have different names for the models produced by the manufacturers. Therefore, the model setting is performed either by relying on the special knowledge of the senior engineer about the model parameters of the electronic component industry, or by relying on the experience of the senior engineer to perform the model setting, or the customer is required to provide a standard model name, otherwise, it is generally difficult for the customer to quickly make a price for what model he wants to buy, for example, the customer needs to buy the model ABSD-sf167, but the vendor database cannot find the model, but the model may be called sf167 in the vendor database. This patent mainly provides a method of fast matching model data.
Therefore, there is a need to provide a method, an apparatus and a storage medium for fast and precise matching of component models to solve the above technical problems.
Disclosure of Invention
The invention mainly aims to provide a method for quickly and accurately matching the model of a component, and aims to solve the problem of quickly and accurately matching the searched model.
In order to achieve the purpose, the invention provides a method for quickly and accurately matching the model of a component, which comprises the following steps:
creating a model database;
acquiring a field to be detected, and splitting the field to be detected into a plurality of different elements through a preset splitting rule;
arranging the split different elements to form a plurality of new fields;
carrying out full word matching on the plurality of new fields and the model in the model database, and confirming the model in the matched model database;
and outputting the model in the matched model database, and finishing the matching.
Optionally, the creating the model database includes the steps of:
obtaining a model name, splitting the model name through a preset splitting rule to form different elements;
arranging the split different elements to form a plurality of new phrases;
judging whether the new phrases have repeated phrases;
if the non-repeated word group is directly input into the model database;
if repeated phrases exist in the phrases split by one model name, only one is reserved and is recorded into a model database;
if repeated phrases exist in the phrases split by the different model names, the repeated phrases are all removed.
Optionally, the preset splitting rule is as follows: and setting a preset rule, and splitting according to Chinese boundaries, English boundaries and digital boundaries.
Optionally, the preset splitting rule further includes splitting according to a boundary of a symbol.
Optionally, the specific step of splitting the field to be detected into a plurality of different elements includes:
and splitting the field to be detected into n different elements according to a preset splitting rule.
Optionally, the step of arranging the split different elements to form a plurality of new fields is as follows:
splitting a field to be detected into n different elements;
m (m is more than or equal to 1 and less than or equal to n) different elements are taken out from the n different elements, and n and m are positive integers;
combining m different elements in a non-repeating ordered arrangement
A new field in which, among other things,
the calculation formula of (a) is as follows:
optionally, the step of performing full word matching on the plurality of new fields and the model in the model database, and determining the matched model in the model database includes:
judging whether the new field is correspondingly matched with the model in the model database;
if the new field is matched with the model database, outputting the model in the matched model database;
and if the new field is not matched with the model database, matching the new field with the product in the model database through the detection interface, and outputting the matched product model.
Optionally, the step of matching the new field with the product in the model database through the detection interface includes:
acquiring a detection interface;
matching the new field with the product in the model database through the detection interface;
and storing the new field into a model database of the product matched and consistent through the detection interface, and caching.
In order to solve the above technical problem, the present invention provides an apparatus for fast and accurately matching model names of electronic components, running on a processor or a storage medium, configured to execute the following instructions:
creating a model database;
acquiring a field to be detected, and splitting the field to be detected according to different element boundaries through a preset splitting rule;
arranging the split different elements to form a plurality of new fields;
carrying out matching retrieval on the new field and the model in the model database;
and outputting a retrieval result according to the matching condition, and finishing the search.
In order to solve the above technical problem, the present invention provides a storage medium, which is a computer-readable storage medium, and is characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for quickly and accurately matching component models according to the present invention are implemented.
According to the technical scheme, a database for subsequent comparison and retrieval is created according to the model of the existing electronic component, then a model field needing to be detected is obtained, the model field with the detection is split according to the Bayesian principle, specifically, the obtained model field needing to be detected and the alias of the model field are decomposed, the decomposition principle is that the model field is split according to the Chinese, English and digital boundaries, and if special symbols exist in the model, the model field is also used as a boundary for decomposition and splitting. Further, all elements formed by the acquired split model fields needing to be detected are arranged to form a plurality of new fields. Further, comparing and matching the new fields formed by arrangement with the models in the model database, if the fields are consistent, outputting the product information in the database corresponding to the fields, and ending the search; if the fields which are consistent with each other cannot be matched, manual matching is carried out, the new fields formed by arrangement are recorded into the database to form new comparison data, then the corresponding product information in the database is output, and the search is finished. Through the means, after the model that will retrieve the matching is decomposed, quick accurate matching, not enough in the continuous supplementary database simultaneously, solved because of the mixed and disorderly irregular naming rule of customer model, market model leads to can't carrying out the problem of matching to required product, the matching efficiency and the degree of accuracy of improvement to user's experience sense has been improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a block flow diagram of a method for fast and accurate matching of component models according to an embodiment of the present invention;
FIG. 2 is a block diagram of a process for creating a model database in an embodiment of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
The invention provides a method, equipment and a storage medium for quickly and accurately matching models of components, and aims to solve the problem of quickly and accurately matching searched models.
Referring to fig. 1, the method for quickly and accurately matching the model of the component provided by the invention comprises the following steps:
s100: creating a model database;
s200: acquiring a field to be detected, and splitting the field to be detected according to different element boundaries through a preset splitting rule;
s300: arranging the split different elements to form a plurality of new fields;
s400: carrying out full word matching on the plurality of new fields and the model in the model database, and confirming the model in the matched model database;
s500: and outputting the model in the matched model database, and finishing the matching.
In the embodiment, a database for subsequent comparison and retrieval is firstly created according to the model of the existing electronic component, then the model field to be detected is obtained, the model field with the detection is split according to the Bayesian principle, specifically, the obtained model field to be detected and the alias of the model field are decomposed, the decomposition principle is that the model field with the detection and the alias of the model field are split according to the Chinese, English and digital boundaries, and if a special symbol exists in the model, the model field is also split as a boundary. Further, all elements formed by the acquired split model fields needing to be detected are arranged to form a plurality of new fields. Further, comparing and matching the new fields formed by arrangement with the models in the model database, if the fields are consistent, outputting the product information in the database corresponding to the fields, and ending the search; if the fields which are consistent with each other cannot be matched, manual matching is carried out, the new fields formed by arrangement are recorded into the database to form new comparison data, then the corresponding product information in the database is output, and the search is finished. Through the means, after the model that will retrieve the matching is decomposed, quick accurate matching, not enough in the continuous supplementary database simultaneously, solved because of the mixed and disorderly irregular naming rule of customer model, market model leads to can't carrying out the problem of matching to required product, the matching efficiency and the degree of accuracy of improvement to user's experience sense has been improved.
For step S100: splitting and decomposing the model and the model alias of the existing product according to different elements, then arranging and recombining the split different elements to form a plurality of new phrases, then carrying out duplication screening on the new phrases, and directly inputting the phrases which are not duplicated into a model database if the phrases are not duplicated; if repeated phrases exist in the phrases split by one model name, only one is reserved and is recorded into a model database; if repeated phrases exist in the phrases split by the different model names, the repeated phrases are all removed. In specific implementation, taking "PCIAT 9366 amessen" as an example, the model is disassembled to obtain three elements, namely PCIAT, 9366 and amessen, and then the three elements are arranged, wherein a new phrase after arrangement is: PCIAT9366, PCIAT AnMesen, 9366 AnMesen, PCIAT9366 AnMesen, 9366PCIAT, AnMesen 9366, PCIAT AnMesen 9366, AnMesen PCIAT9366, 9366PCIAT AnMesen, AnMesen 9366PCIAT, 9366 AnMesen PCIAT. All the phrases are corresponding models which are 'PCIAT 9366 Americans', if the model of 'PCIAT 9366 Americans' has alias, all the alias needs to be split and arranged, and then only one repeated word group is removed and reserved. If the phrases of PCIAT9366 Americans have repeated word groups with other models, the repeated word groups are removed. Therefore, only one model corresponding to all phrases is ensured. And then, storing all models corresponding to the phrases in a warehouse, and performing caching processing. The robust database is established by the means, so that the subsequent retrieval matching process can be matched quickly.
For step S200: and acquiring a field to be detected, and splitting the field to be detected according to different element boundaries through a preset splitting rule. The method comprises the steps of acquiring a field to be detected into a detection program, splitting the field to be detected according to a preset rule, specifically, splitting according to Chinese, English and numeric boundaries according to a decomposition principle, and splitting as a boundary if a special symbol exists in a model. In specific implementation, taking the model "ABSD-sf 167" as an example, the model can be split into 4 elements "ABSD", "-", "sf", "167"; taking the model "PCIAT 9366 admissen" as an example, the model is disassembled to obtain three elements "PCIAT", "9366" and "admissen". However, during splitting, if the tail of the model has symbols with business significance, the symbols need to be filtered out. Specifically, taking the product model "MAX 6811 secure +" as an example, the product model may be split into "MAX", "6811", "EUS", and "+" according to a preset splitting rule, but "+" represents that lead is contained, and filtering is required. The result of the final split is therefore: "MAX", "6811", and "EUS".
For step S300: and arranging the split different elements to form a plurality of new fields. That is, m (1. ltoreq. m.ltoreq.n) different elements are taken out from n different elements each time and then arranged in a row. In this embodiment, taking "PCIAT 9366 amessen" as an example, this model is disassembled to obtain three elements, namely PCIAT, 9366 and amessen, and then the three elements are arranged, where the new phrase after arrangement includes: PCIAT9366, PCIAT AnMesen, 9366 AnMesen, PCIAT9366 AnMesen, 9366PCIAT, AnMesen 9366, PCIAT AnMesen 9366, AnMesen PCIAT9366, 9366PCIAT AnMesen, AnMesen 9366PCIAT, 9366 AnMesen PCIAT.
For step S400: and carrying out full word matching on the plurality of new fields and the model in the model database, and confirming the model in the matched model database. In this embodiment, the new fields formed by the arrangement in step S300 are screened and matched with the fields in the database, and the matching is successful only if the fields are in one-to-one correspondence, if there is no database field in one-to-one correspondence, the corresponding product needs to be identified by human participation, and the new fields are re-screened and then added to the database of the corresponding product to maintain the cache, so as to facilitate the subsequent search.
For step S500: and outputting the model in the matched model database, and finishing the matching. Namely, the product model of the matched field and the information thereof matched in step S400 are output. And finishing the matching.
Referring to fig. 2, the creating of the model database includes the steps of:
s101: obtaining a model name, splitting the model name through a preset splitting rule to form different elements;
s102: arranging the split different elements to form a plurality of new phrases;
s103: judging whether the new phrases have repeated phrases;
s104: if the non-repeated word group is directly input into the model database;
s105: if the phrase split by the model name of a product has repeated phrases, only one phrase is reserved and is input into a model database;
s106: if repeated phrases exist in the phrases split by the different model names, the repeated phrases are all removed.
In this embodiment, for creating the model database, all models of products and aliases of the products need to be sorted out, and then the models and aliases of the products are obtained one by one, the model name of each product needs to be split into different elements according to a preset splitting rule, then the different elements are arranged and combined into a plurality of different phrases, then the combined new phrases are checked and screened, if there is no repeated phrase, the combined phrases are directly entered into the model database for subsequent matching and distinguishing, if there is a repeated phrase in the model name of one product and the phrase split by the alias of the product, only one phrase is reserved and entered into the model database, and if there is an overlap in the phrases split by the models of different products, the overlapped phrases are removed, so that the models corresponding to all the phrases are guaranteed to be unique products.
In specific implementation, for step S101, the model name is obtained, and the model name is split according to a preset splitting rule to form different elements. The obtained model names are all names corresponding to the model, and include model names of different countries, model names of different manufacturing enterprises and alias names of the product. And after counting all known names of the product, respectively splitting the elements.
For step S102, the split different elements are arranged to form a plurality of new phrases. The elements in this embodiment include an alphabet field including alphabets, a number field including numbers, a kanji field including kanji, and a symbol field including symbols, and only continuity elements of respective attributes exist in each field.
For step S103, the new phrases are subjected to duplication screening. And searching for duplication between all the phrases which are arranged after the obtained model name is the model and the names of which are split and the phrases which exist in the database, and searching for duplication between all the phrases which are arranged after the model name is split.
For step S104, if the non-repeated word group is directly entered into the model database. And when the arranged new word groups are not repeated and are not repeated when compared with the existing database word groups, the word groups are recorded into the database as the matching data of the product.
For step S105, if there is a repeated phrase in the phrase split by the model name of a product, only one is reserved and recorded into the model database. In this embodiment, the phrases arranged after splitting according to all names corresponding to the product are subjected to group duplication checking, and if repeated phrases appear, only one of the phrases is reserved and is recorded into the model database.
In step S106, if there are repeated phrases in the phrases split by the different model names, the repeated phrases are all removed. If the arranged new word group has repetition with the arranged new word groups of other models, deleting the repeated word group. Therefore, only one model corresponding to all phrases is ensured. And then, storing all models corresponding to the phrases in a warehouse, and performing caching processing.
Further, the preset splitting rule is as follows: and setting a preset rule, and splitting according to Chinese boundaries, English boundaries and digital boundaries. In this embodiment, the preset rule is to split the data according to the attributes included in the model, specifically, split the data according to the chinese boundary, the english boundary, and the numeric boundary.
Further, the preset splitting rule further includes splitting according to a boundary of a symbol.
Specifically, during splitting, if symbols with business significance are attached to the tail of the model, filtering is needed. Specifically, taking the product model "MAX 6811 secure +" as an example, the product model may be split into "MAX", "6811", "EUS", and "+" according to a preset splitting rule, but "+" represents that lead is contained, and filtering is required. The result of the final split is therefore: "MAX", "6811", and "EUS".
Further, the specific step of splitting the field to be detected into a plurality of different elements includes:
and splitting the field to be detected into n different elements according to a preset splitting rule.
In this embodiment, the field to be detected is split according to the chinese boundary, the english boundary, the numeric boundary, and the symbol boundary, and the split field is split into n different elements.
Further, the step of arranging the split different elements to form a plurality of new fields is as follows:
m (1. ltoreq. m. ltoreq. n) different elements are taken out from the n different elements;
combining m different elements in a non-repeating ordered arrangement
A new field in which, among other things,
is calculated byThe following were used:
in this embodiment, different elements are sorted, m different elements are selected from n split elements, and then m different elements are sorted and combined without repetition. Specifically, taking "PCIAT 9366 amessen" as an example, the model is disassembled to obtain three elements, namely PCIAT, 9366 and amessen, and then the three elements are arranged, and a new phrase after arrangement is: PCIAT9366, PCIAT AnMesen, 9366 AnMesen, PCIAT9366 AnMesen, 9366PCIAT, AnMesen 9366, PCIAT AnMesen 9366, AnMesen PCIAT9366, 9366PCIAT AnMesen, AnMesen 9366PCIAT, 9366 AnMesen PCIAT. Formed by alignment
Different phrases are required to be matched and compared with phrases in the database, and if the phrases are consistent, model information with consistent matching is output.
Further, the step of performing full word matching on the plurality of new fields and the model in the model database and confirming the matched model in the model database is as follows:
judging whether the new field is correspondingly matched with the model in the model database;
if the new field is matched with the model database, outputting the model in the matched model database;
and if the new field is not matched with the model database, matching the new field with the product in the model database through the detection interface, and outputting the matched product model.
In the embodiment, the new fields are compared with the models in the model database one by one, and if the models which are consistent with the models in the database exist, the matched product models in the database and relevant information of the product models are output. If the model does not have the corresponding matched model, the model is required to be manually compared with the product in the library, and the new fields are added into the data under the product after the model is correspondingly matched to form a new database, so that subsequent retrieval and matching are facilitated, and the retrieval efficiency is improved.
9. Further, the step of matching the new field with the product in the model database through the detection interface is as follows:
acquiring a detection interface;
matching the new field with the product in the model database through the detection interface;
and storing the new field into a model database of the product matched and consistent through the detection interface, and caching.
In this embodiment, if the matching cannot be performed, the specific step of entering a new field into the field database is as follows: firstly, a detection interface is obtained, the detection interface can manually match and compare the product model of a client with the product in a database, after the model with the same matching is screened out, the separated new field is kept in the field database for caching.
In order to solve the above technical problem, the present invention further provides an apparatus for fast and accurately matching model names of electronic components, running on a processor or a storage medium, configured to execute the following instructions:
creating a model database;
acquiring a field to be detected, and splitting the field to be detected according to different element boundaries through a preset splitting rule;
arranging the split different elements to form a plurality of new fields;
carrying out matching retrieval on the new field and the model in the model database;
and outputting a retrieval result according to the matching condition, and finishing the search.
In the embodiment, a database for subsequent comparison and retrieval is firstly created according to the model of the existing electronic component, then the model field to be detected is obtained, the model field with the detection is split according to the Bayesian principle, specifically, the obtained model field to be detected and the alias of the model field are decomposed, the decomposition principle is that the model field with the detection and the alias of the model field are split according to the Chinese, English and digital boundaries, and if a special symbol exists in the model, the model field is also split as a boundary. Further, all elements formed by the acquired split model fields needing to be detected are arranged to form a plurality of new fields. Further, comparing and matching the new fields formed by arrangement with the models in the model database, if the fields are consistent, outputting the product information in the database corresponding to the fields, and ending the search; if the fields which are consistent with each other cannot be matched, manual matching is carried out, the new fields formed by arrangement are recorded into the database to form new comparison data, then the corresponding product information in the database is output, and the search is finished. Through the means, after the model that will retrieve the matching is decomposed, quick accurate matching, not enough in the continuous supplementary database simultaneously, solved because of the mixed and disorderly irregular naming rule of customer model, market model leads to can't carrying out the problem of matching to required product, the matching efficiency and the degree of accuracy of improvement to user's experience sense has been improved.
In order to solve the above technical problem, the present invention further provides a storage medium, where the storage medium is a computer-readable storage medium, and is characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the method for quickly and accurately matching model names of electronic components are implemented.
The computer software product is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for quickly and accurately matching component models is characterized by comprising the following steps:
creating a model database;
acquiring a field to be detected, and splitting the field to be detected into a plurality of different elements through a preset splitting rule;
arranging the split different elements to form a plurality of new fields;
carrying out full word matching on the plurality of new fields and the model in the model database, and confirming the model in the matched model database;
and outputting the model in the matched model database, and finishing the matching.
2. The method for quickly and accurately matching component models according to claim 1, wherein the step of creating the model database comprises the following steps:
obtaining a model name, splitting the model name through a preset splitting rule to form different elements;
arranging the split different elements to form a plurality of new phrases;
judging whether the new phrases have repeated phrases;
if the non-repeated word group is directly input into the model database;
if repeated phrases exist in the phrases split by one model name, only one is reserved and is recorded into a model database;
if repeated phrases exist in the phrases split by the different model names, the repeated phrases are all removed.
3. The method for quickly and accurately matching component models according to claim 1, wherein the preset splitting rule is as follows:
and splitting according to Chinese boundaries, English boundaries and digital boundaries.
4. The method for quickly and accurately matching component models according to claim 3, wherein the preset splitting rule further comprises splitting according to a boundary of a symbol.
5. The method for quickly and accurately matching component models according to claim 4, wherein the specific step of splitting the field to be detected into a plurality of different elements comprises:
and splitting the field to be detected into n different elements according to a preset splitting rule.
6. The method for quickly and accurately matching component models according to claim 5, wherein the step of arranging the split different elements to form a plurality of new fields is as follows:
m (m is more than or equal to 1 and less than or equal to n) different elements are taken out from the n different elements, and n and m are positive integers;
combining m different elements in a non-repeating ordered arrangement
A new field in which, among other things,
the calculation formula of (a) is as follows:
7. the method for quickly and accurately matching component models according to claim 1, wherein the steps of performing full-word matching on the plurality of new fields and the models in the model database and confirming the matched models in the model database are as follows:
judging whether the new field is correspondingly matched with the model in the model database;
if the new field is matched with the model database, outputting the model in the matched model database;
and if the new field is not matched with the model database, matching the new field with the product in the model database through the detection interface, and outputting the matched product model.
8. The method for quickly and accurately matching component models according to claim 7, wherein the step of matching the new field with the product in the model database through the detection interface comprises the following steps:
acquiring a detection interface;
matching the new field with the product in the model database through the detection interface;
and storing the new field into a model database of the product matched and consistent through the detection interface, and caching.
9. An apparatus for fast and accurate matching of model names of electronic components, characterized in that the steps of the method for fast and accurate matching of model names of components according to any one of claims 1 to 8 are implemented.
10. A storage medium, which is a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the method for quickly and accurately matching component models according to any one of claims 1 to 8.
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Application publication date: 20220225 |