JP5018518B2 - Library automatic generation apparatus, library automatic generation method, and library automatic generation program - Google Patents

Description

  The present invention automatically generates a library in which one or a plurality of temporary library data is stored based on one or a plurality of temporary libraries in which each data is stored in association with an identifier for identifying a record. Relates to the device.

  Conventionally, when designing electronic devices and semiconductor products using CAD (Computer Aided Design) tools and CAE (Computer Aided Engineering), various common data used for such CAD design and CAE design are retained. There is a library to do. As a library for holding the common data, for example, a CAD physical design tool used in an electrical system or an architectural system includes a physical shape library. Further, for example, CAE analysis tools used for electrical systems, structural systems, fluid systems, and the like include an electronic component characteristic library, a material / physical characteristic library, a heat generation condition / physical property value condition library, and the like.

  The above-described library creation is created individually by a product designer, an analyst, or the like, or created based on rules determined in an organizational manner (each department, each base, etc.). A library creator who creates a library investigates and examines conditions for creating the library, and manually checks and determines whether the created library is correct or valid.

  Here, the processing for creating the library will be described with reference to FIGS. 11 and 12. FIG. 11 and 12 are diagrams for explaining processing in library creation according to the related art. For example, as shown in FIG. 11, the designer A inputs (creates) data to be registered in the library using a predetermined terminal. The data input (created) by the designer A is confirmed by the designer B different from the designer A. Subsequently, the data whose input (creation) content is confirmed is registered in the library when there is no mistake in the input (creation) content. The library in which the input (creation) data is registered stores not only the data input (creation) by the designer A but also data input (creation) by a plurality of designers different from the designer A. The In addition, since a library in which data input by a plurality of designers is registered may be created for each department or site, there are a plurality of libraries, and moreover, a plurality of libraries are straddled. In some cases, the same data exists.

  For example, as shown in FIG. 12, the designer A and the designer X input data to be registered in the library using a predetermined terminal. The input contents of the data input by the designer A and the designer X are confirmed by the designer B and the designer Y different from the designer A and the designer X. Subsequently, the data for which the input content is confirmed is confirmed again by the data confirmation specialist C. The data whose input content is confirmed by the data confirmation specialist C is registered in the library when there is no mistake in the input content. The library in which data input by a plurality of designers is registered is a collection of data input at a plurality of departments or bases. However, the data verification specialist C only checks the data. The same data exists in one library. In order not to register the same data, every time new data is registered, the data verification specialist C collates the data in the library with the new data and registers the matching data.

  In addition, in the above-described data matching, various techniques using a matching rate indicating a matching degree of various data based on a plurality of various data and setting values are disclosed (Patent Document 1 to Patent Document). 3). For example, in Patent Document 1, when determining whether a program having the same function is normal or abnormal, in Patent Document 2, when restoring data in device replacement when a device failure occurs, Patent Document 3 It is used when determining the feature data to be used based on the matching rate of the feature data of the subject to be matched in personal authentication.

Japanese Patent Laid-Open No. 1-136247 JP 2002-318606 A JP 2002-329204 A

  However, in the processing for generating the library described with reference to FIGS. 11 and 12, there is a problem that much labor and cost are required to manually check the input data. Therefore, there is a possibility that an input error or a confirmation error may occur. Furthermore, since the same or similar library is created in each department or each base, it is inefficient for data utilization.

  Therefore, the present invention has been made to solve the above-described problems of the prior art, and it is possible to reduce labor and cost due to manual work and to generate a library with high data accuracy. It is an object of the present invention to provide an automatic library generation apparatus that can perform the above-described processing.

In order to solve the above-described problems and achieve the object, the library automatic generation apparatus disclosed in the present application is based on one or a plurality of temporary libraries in which each data is stored in association with an identifier for identifying a record. A library automatic generation apparatus for generating a main library in which one or a plurality of temporary library data are collected, a setting value storage unit for storing various setting values for use in various processes, and the temporary library stored in the temporary library The extraction means for extracting a plurality of records having the same identifier and the matching rate indicating the degree of matching between the data of the plurality of records extracted by the extraction means are calculated, and whether the data of the plurality of records are the same judging means for judging whether or not a match rate between the data of a plurality of records determined by the determining means is stored in the setting value storage unit When the threshold value or more, is required for the comprising registration means by merging the plurality of records in one record registered in the present library, a.

  According to the library automatic generation device disclosed in the present application, it is possible to reduce labor and cost due to manual work.

  Embodiments of an automatic library generation apparatus according to the present invention will be described below in detail with reference to the accompanying drawings. In the following, the outline and features of the automatic library generation device according to the present invention, the configuration of the automatic library generation device and the flow of processing will be described in order, and finally the effects of this embodiment will be described.

[Overview and Features]
First, the outline and features of the library automatic generation apparatus according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an outline and features of the automatic library generation device according to the first embodiment.

  This library automatic generation device stores a plurality of data, reads data of one or a plurality of temporary libraries managed for each department or each base, and a plurality of the same / similarities among the temporary library data Data (those with the same model number) are compared, and a plurality of compared data having the same number are registered together in this library. In the temporary library, a plurality of data is stored in association with identifiers, and data input by a plurality of users from a predetermined terminal is registered in each department or each base. For this reason, since the temporary library is managed in each department or each base, the same / similar data may be stored not only between a plurality of different temporary libraries but also in one temporary library.

  This temporary library will be described with a specific example. As shown in FIG. 1, the temporary library A is a “model number” input by the designer A for use in designing semiconductor products using a CAD tool. X "is registered. Further, for example, the temporary library B is input by the designer D in the same manner as the temporary library A, the data 1 and data 2 of the “model number X” input by the designer B and the designer C, and the temporary library C. The data of “model number X” is registered. In the temporary library D and other libraries as well, a plurality of “model number X” data input by a designer different from the designers A to D is registered.

  In such a state, the library automatic generation device summarizes the one or more temporary library data based on one or more temporary libraries in which each data is stored in association with an identifier for identifying a record. The main feature is to generate this library, and in particular, it is possible to reduce the labor and cost of manual work.

  Specifically explaining the main feature, the automatic library generation apparatus is excluded from the number of extraction start records indicating the total number of a plurality of records having the same identifier in one or a plurality of temporary libraries and data comparison / determination. The number of records having the same identifier stored in the temporary library, including a set value storage unit that stores non-comparison data indicating data and a matching rate threshold that is a matching rate threshold indicating the degree of matching between predetermined data However, when the predetermined number stored in the set value storage unit is exceeded, a plurality of records having the same identifier are extracted (see (1) in FIG. 1).

  To give a specific example, the library automatic generation apparatus determines the number of extraction start records “4” indicating the total number of a plurality of records having the same identifier “model number X” in the temporary libraries A to D and the data comparison / determination. It has a set value storage unit that stores non-comparison data “model number (data name)” indicating excluded data and a matching rate threshold “70” that is a matching rate threshold indicating the degree of matching between predetermined data. Then, the library automatic generation device has the number of records “5” having the same identifier “model number X” stored in the temporary libraries A to D exceeds the number of extraction start records “4” stored in the set value storage unit. A plurality of records having the same identifier “model number X” are extracted.

  Then, the library automatic generation device calculates the coincidence rate between the data other than the non-comparison data items stored in the setting value storage unit among the extracted data of the plurality of records, and whether or not they are the same (See (2) in FIG. 1).

  More specifically, in the above example, the library automatic generation device, among the data of the plurality of records having the extracted identifier “model number X”, the data item “model number (non-comparison data) stored in the setting value storage unit. Each data other than “data name” ”is compared one by one to calculate the coincidence rate“ 100 ”and determine whether or not they are the same.

  Subsequently, the library automatic generation device merges the plurality of records into one record when the matching rate between the data of the determined plurality of records is equal to or greater than the threshold stored in the set value storage unit. (See (3) in FIG. 1).

  More specifically, in the above example, the library automatic generation apparatus determines that the matching rate “100” between the data of the plurality of records with the determined identifier “model number X” is stored in the setting value storage unit “70”. In the case described above, the plurality of records are merged into one record and registered in the library.

  Also, for example, when the matching rate between five data of the five records of the identifier “model number X” is “80”, the four data that match between the five data are merged and registered in this library. One data that does not match is not used for merging and is not registered in the library. When the matching rate between the data of the plurality of records having the identifier “model number X” is less than “70”, the process is terminated without merging and registering the plurality of records in the library, and the set value storage unit As many records as the number of extraction start records stored in (1) are newly registered in the temporary library and are not registered in the library until the matching rate threshold is satisfied.

  The data registered in this library is viewed by designers at each department and site, and used as template data when designers enter new data. It can be shortened and has the effect of increasing the accuracy of subsequent library generation.

  For this reason, the library automatic generation device according to the first embodiment is based on one or more temporary libraries in which each data is stored in association with an identifier for identifying a record. When generating this library that summarizes library data, when the number of records with the same identifier stored in one or more temporary libraries reaches a predetermined number, the plurality of records are extracted, and the plurality of extracted records Among them, the matching rate between the data excluding the comparison / determination target data is calculated to determine whether or not they are the same data, and the data having the matching rate equal to or higher than a predetermined threshold is merged and As a result of being able to register in the library, it is possible to reduce labor and cost due to manual labor.

  In other words, the library automatic generation device generates a main library in which one or a plurality of temporary library data is collected based on one or a plurality of temporary libraries in which each data is stored in association with an identifier for identifying a record. When the number of records with the same identifier in one or more temporary libraries exceeds a predetermined number, the matching rate between the data of the plurality of records is calculated, and the data whose matching rate is equal to or greater than the threshold is merged Thus, since it is registered in this library, it is possible to reduce labor and cost due to manual work as compared with the case where confirmation by a person after data input is performed as in the prior art. In addition, even if an input error by the designer occurs, the library automatic generation device can preferentially register data having a high matching rate in this library, so that a library with high data accuracy can be generated. Is possible.

[Configuration of Library Automatic Generation Device According to Embodiment 1]
Next, the configuration of the library automatic generation apparatus according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating the configuration of the library automatic generation apparatus according to the first embodiment.

  As shown in FIG. 2, the library automatic generation apparatus 10 includes an input unit 11, a display unit 12, an I / F unit 13, a storage unit 14, and a control unit 15, and uses an identifier for identifying a record. Based on one or a plurality of temporary libraries in which each data is stored in association with each other, a main library in which the one or a plurality of temporary library data is collected is generated.

  The input unit 11 receives various types of information and is configured with a keyboard and a mouse. For example, the input unit 11 receives various setting values stored in a setting value storage unit 14b described later by input by the user.

  The display unit 12 outputs various types of information and includes a monitor (or a display or a touch panel) and a speaker. For example, the display unit 12 displays and outputs the input data received by the input unit 11.

  The I / F unit 13 is connected to a network such as a LAN (Local Area Network) and controls communication related to various types of information acquired through the network. For example, the I / F unit 13 inputs / outputs various data when reading data in the temporary library or registering data in the library.

  The storage unit 14 stores data necessary for various types of processing by the control unit 15 and various types of processing results by the control unit 15, and particularly those closely related to the present invention include a read data storage unit 14a and a set value storage. Part 14b.

  The read data storage unit 14a stores data read from the temporary library by the data read unit 15a described later. For example, as shown in FIG. 3, the read data storage unit 14a has a data name read from the temporary library by the data read unit 15a, a registration ID, a manufacturer, a part type name, a connector type, an angle, a type, and an external X direction. (A) Stores input data of connector parts such as an outer shape Y direction (B), an outer shape Z direction (C), and a pin arrangement. FIG. 3 is a diagram illustrating an example of data stored in the read data storage unit 14a according to the first embodiment.

  The set value storage unit 14 b stores various set values received by the input unit 11. For example, as illustrated in FIG. 4, the set value storage unit 14 b includes one or more “matching rate threshold: 70” that is a matching rate threshold indicating the degree of matching between predetermined data received by the input unit 11. In the temporary library, “read start record number: 10” indicating the total number of records having the same identifier, “non-comparison item 1: data name” and “comparison” indicating data excluded from data comparison / judgment “Non-target item 2” is stored. FIG. 4 is a diagram illustrating an example of data stored in the setting value storage unit 14b according to the first embodiment.

  Here, an example of a data template input by a designer held in a temporary library (not shown in FIG. 2) will be described with reference to FIGS. FIG. 5 is a diagram illustrating an example of an input template for connector part data held in the temporary library according to the first embodiment. FIG. 6 illustrates an input template for BGA held in the temporary library according to the first embodiment. FIG. 7 is a diagram illustrating an example of an input template of radiating fins held in the temporary library according to the first embodiment.

  As shown in FIG. 5, the connector part data input template is an identifier of the connector part, “data name: CN_ABC-123” indicating the model number, and “registration” indicating the registration ID when data is registered in the temporary library. ID: FJ000000 ”,“ Manufacturer: Manufacturer A ”indicating which manufacturer's part,“ Part type name: ABC-123 ”,“ Connector type: D-SUB ”,“ Angle: Light ”,“ Type ” : Plug, “Outer shape X direction (A): 30”, “Outer shape Y direction (B): 15”, “Outer shape Z direction (C): 10”, “Pin layout”, etc. It is like that. Although omitted in FIG. 5, the part shape 1, the part shape 2, etc., the “D-SUB” shape is displayed in three dimensions. In addition to the above-mentioned data items, there are many types of input items for the connector part data input template. Based on the input data information, the physical shape library, material property library, electrical property library, etc. Multiple libraries are generated.

  Further, as shown in FIG. 6, an input template for BGA data, which is one of LSIs, is an identifier of the BGA and indicates a model number “data name: BGA_ABC-123”, hereinafter “part specification name: ABC”. , “Manufacturer: Manufacturer B”, “RoHS compatible: Corresponding”, “Reflow heat resistant temperature: 230”, “Reflow possible number of times: 3”, “Power consumption: 10”, “External X direction (A): 15”, “ Data item parameters such as “outer shape Y direction (B): 15”, “outer shape Z direction (C): 2”, “type”, “corner arrangement”, and the like are input. Although omitted in FIG. 6, the physical shape 3, the physical shape 4, etc., the “BGA” shape is displayed in three dimensions. The BGA data input template includes not only the above-described data items but also various types of input items as in the case of the connector part. Based on the input data information, the physical shape library, the material physical property library, and the electrical property library are used. A plurality of other libraries such as a characteristic library are generated.

  Further, as shown in FIG. 7, the input template of the heat radiating fin is an identifier of the heat radiating fin, and indicates “model name” “FIN_ABC-123”, hereinafter “FIN shape”, “FIN outer shape (A): 10 ”,“ FIN shape (B): 10 ”,“ blade size: 1 ”,“ blade to blade: 1 ”,“ FIN height: 3 ”,“ base thickness: 1 ”,“ number of blades: 8 ”, Data items such as material “Al”, “density: 2688”, “thermal conductivity: 237”, and “specific heat: 0.905” are input. Although omitted in FIG. 7, the physical shape 5 is a three-dimensional display of the “radiating fin” shape. In addition to the above-mentioned data items, there are many types of input items for the radiation fin data input template, such as connector parts and BGA. Based on the input data information, the physical shape library, material A plurality of other libraries such as a physical property library and an electrical property library are generated.

  In the input templates of FIGS. 5 to 7 described above, since the amount of data to be input in each template is large, it can be seen that a data input error by the designer is likely to occur, and the input data checker as in the conventional technique It turns out that there is a high possibility that it cannot be found even in the confirmation of data input errors.

  Here, the description returns to the functional configuration of FIG. The control unit 15 has an internal memory for storing a control program, a program defining various processing procedures, and necessary data, and as particularly closely related to the present invention, a data reading unit 15a, a data The comparison part 15b and the data registration part 15c are provided, and various processes are performed by these.

  When the number of records having the same identifier stored in the temporary library exceeds a predetermined number stored in the set value storage unit 14b, the data reading unit 15a extracts a plurality of records having the same identifier. And stored in the read data storage unit 14a.

  As a specific example, the data reading unit 15a has the same identifier in a plurality of temporary libraries, and the number of records “12” having “data name: CN_ABC-123” indicating the model number is set to the set value storage unit 14b. When the number of read start records “10” stored in is exceeded, a plurality of records having the same identifier “CN_ABC-123” are extracted and stored in the read data storage unit 14a.

  The data comparison unit 15b calculates the coincidence rate between the data other than the non-comparison data items stored in the set value storage unit 14b among the data of the plurality of records extracted by the data reading unit 15a. It is determined whether or not.

  Specifically, in the above example, the data comparison unit 15b includes the set value storage unit 14b among the data of the plurality of records having the identifier “data name: CN_ABC-123” extracted by the data reading unit 15a. The non-comparison items (non-comparison items 1 to n) stored in the table are compared one by one for each data other than the “data name”, and the coincidence rate is calculated to determine whether or not they are the same. As for the comparison of each data, the data stored in the library may be compared as a character string as it is, or all data may be corrected to full-width or capital letters for comparison.

  The data registration unit 15c merges the plurality of records into one record when the matching rate between the data of the plurality of records determined by the data comparison unit 15b is equal to or greater than the threshold stored in the setting value storage unit 14b. Register with this library.

  To give a specific example in the above example, the data registration unit 15c indicates that the matching rate between the data of the plurality of records having the identifier “data name: CN_ABC-123” determined by the data comparison unit 15b is the set value storage unit. If the threshold is “70” or more stored in 14b, the plurality of records are merged into one record and registered in the library.

  Here, the calculation of the coincidence rate and the data registration will be described with reference to FIG. FIG. 8 is a diagram for explaining calculation of coincidence rate and data registration according to the first embodiment. In the description of FIG. 8, designer A to designer E input data using the connector part template shown in FIG. 5, and temporary library A to temporary library E in which the respective input data are registered. Based on the above, the data matching rate is calculated and the data is registered in the library. In the following, a case where the coincidence rate is calculated for each data of “manufacturer”, “part type name”, and “external shape X direction (A)” will be described.

  For example, as illustrated in FIG. 8, the library automatic generation apparatus 10 includes a maker “maker A” of the library A created by the designer A and a library B created by the designer B for the comparison item “maker”. Library “Manufacturer A” created by the manufacturer “Manufacturer A”, Library C created by the designer C, Manufacturer “Manufacturer A” of the library D created by the designer D, and Library E created by the designer E Compare with manufacturer “Manufacturer A”. Then, the library automatic generation apparatus 10 calculates a matching rate “100%” in the comparison item “maker” of each library.

  Subsequently, the library automatic generation apparatus 10 sets the component type name “ABC-123” of the library A created by the designer A and the parts of the library B created by the designer B for the comparison item “part type name”. Type name “ABC-1234”, part type name “ABC-123” of library C created by designer C, part type name “ABC-123” of library D created by designer D, and design The part type name “ABC-123” of the library E created by the user E is compared. Thereafter, the library automatic generation apparatus 10 calculates the matching rate “80%” in the comparison item “part type name” of each library.

  Then, the library automatic generation apparatus 10 creates the library X created by the designer B and the contour X direction (A) “30” of the library A created by the designer A for the comparison item “external X direction (A)”. B external X direction (A) “30”, external X direction (A) “32” of library C created by designer C, and external X direction (A) of library D created by designer D “30” is compared with the external X direction (A) “29” of the library E created by the designer E. Subsequently, the library automatic generation apparatus 10 calculates a matching rate “60%” in the comparison item “external shape X direction (A)” of each library.

  After that, the library automatic generation apparatus 10 that has calculated the matching rate of each comparison item calculates the comparison item from the calculated matching rate of each item based on the “matching rate threshold: 70” stored in the setting value storage unit 14b. It is determined that “Manufacturer” is “OK”, the comparison item “Part type name” is “OK”, and the comparison item “External shape X direction (A)” is “NG”.

  Then, the library automatic generation device 10 merges five data for the comparison item “manufacturer” having the matching rate “100%” and the determination “OK”, and registers them in the library in association with the identifier “CN_ABC-123”. To do. Further, the library automatic generation device 10 merges the four matched data for the comparison item “part type name” having the matching rate “80%” and the determination “OK”, and associates the data with the identifier “CN_ABC-123”. Register with this library. Further, the library automatic generation apparatus 10 does not register the comparison item “outer shape X direction (A)” having the matching rate “60%” and the determination “NG” without registering the data in this library. For data that does not match between the data of each comparison item, and for data that has a matching rate of “NG” between the data, the number of data registered in the temporary library is stored in the set value storage unit 14b. It will not be used until the stored “read start record number: 10” is reached.

[Library automatic generation processing according to embodiment 1]
Next, library automatic generation processing by the library automatic generation apparatus 10 according to the first embodiment will be described with reference to FIG. FIG. 9 is a flowchart for explaining library automatic generation processing by the library automatic generation apparatus 10 according to the first embodiment.

  As illustrated in FIG. 9, the library automatic generation device 10 determines that the number of records having the same identifier in a plurality of temporary libraries reaches the number of read start records stored in the set value storage unit 14b (Yes in step S101). ), A plurality of records having the same identifier are extracted and stored in the read data storage unit 14a (step S102).

  The library automatic generation device 10 then selects one of the data other than the non-comparison items stored in the setting value storage unit 14b among the data of the plurality of records having the same identifier stored in the read data storage unit 14a. By comparing them one by one, the coincidence rate is calculated to determine whether or not they are the same (step S103).

  Subsequently, when the matching rate between the data of the plurality of records having the same identifier determined is equal to or higher than the threshold stored in the setting value storage unit 14b (Yes in step S104), the library automatic generation device 10 A plurality of records are merged into one record and registered in the library (step S105). Note that the library automatic generation device 10 sets the plurality of records as one when the matching rate between the data of the plurality of records having the same identifier is less than the threshold stored in the setting value storage unit 14b (No in step S104). The process ends without merging into one record.

[Effects of Example 1]
In this way, according to the first embodiment, the library automatic generation device 10 can determine the one or more temporary libraries based on one or more temporary libraries in which each data is stored in association with an identifier for identifying a record. When generating the main library of temporary library data, when the number of records having the same identifier in a plurality of temporary libraries reaches a predetermined number of records sufficient for comparison between the data, the plurality of records are read and read. Since the matching rate between each data of a plurality of records is calculated and the matching rate is registered in this library for data with the matching rate equal to or higher than a predetermined threshold, it is possible to reduce labor and cost due to manual work. At the same time, it is possible to generate a library with high data accuracy. That is, the library automatic generation apparatus 10 does not register data that does not satisfy the matching rate threshold until the new data registration count reaches a predetermined number of records sufficient for comparison between the data. It is possible to reduce labor and cost due to work, and only data having a matching rate threshold value or higher is registered, so that a library with high data accuracy can be generated. As a result, as the amount of data registered in the temporary library increases, the accuracy of data registered in the library increases.

  For example, the library automatic generation apparatus 10 reads the number of records “12” having the same identifier in a plurality of temporary libraries and having “data name: CN_ABC-123” indicating the model number stored in the setting value storage unit 14b. When the number of start records exceeds “10”, a plurality of records having the same identifier “CN_ABC-123” are extracted and stored in the read data storage unit 14a. Then, the automatic library generation device 10 out of the data of the plurality of records having the extracted identifier “data name: CN_ABC-123” stores the non-comparison item (non-comparison item 1) stored in the set value storage unit 14b. N) Each data other than “data name” is compared one by one to calculate the coincidence rate and determine whether or not they are the same. Subsequently, the library automatic generation device 10 determines that the matching rate between the data of the plurality of records having the determined identifier “data name: CN_ABC-123” is equal to or greater than the threshold “70” stored in the setting value storage unit 14b. Then, the plurality of records are merged into one record and registered in the library. As a result, it is possible to reduce labor and cost due to manual work and to generate a library with high data accuracy.

Although the embodiments of the present invention have been described so far, the present invention may be implemented in various different forms other than the embodiments described above. Accordingly, different embodiments in (1) data registration using the coincidence rate, (2) configuration of the library automatic generation apparatus, and (3) program will be described.

(1) Data registration using the match rate In the first embodiment, when registering data in this library using the match rate, the match rate of each data is calculated, and data equal to or higher than the match rate threshold is matched. Although described as using data, the present invention is not limited to this. For example, if the coincidence rate of each data is calculated and the coincidence rate of all the calculated data is equal to or greater than the coincidence rate threshold, the present invention is not limited to this. It may be registered in the library. In addition, for each data that does not satisfy the matching rate threshold, the matching data is registered in the library using the matching data without waiting until the number of reading start records is reached, and the matching rate can be satisfied for the registered data. For example, a flag indicating that it has not been set may be set. In addition, attribute information about the ability of each designer who creates a temporary library is stored in advance, and using the attribute information about the ability, the matching rate is calculated by adding the attribute information weight to the rate of matching rate calculation. It is good to do.

(2) Configuration of Library Automatic Generation Device In addition, the processing procedure, control procedure, specific name, information including various data and parameters shown in the document and drawings (for example, “setting as shown in FIG. 2” The items and numerical values stored in the value storage unit 14b "can be arbitrarily changed unless otherwise specified.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure. For example, all or a part of the temporary library is integrated on the library automatic generation device 10, and various burdens, usage conditions, etc. Depending on the situation, it can be configured to be functionally or physically distributed and integrated in arbitrary units. Furthermore, all or a part of each processing function performed in each device may be realized by a CPU and a program that is analyzed and executed by the CPU, or may be realized as hardware by wired logic.

  In the first embodiment, the process of automatically generating the library as a library in a CAD tool or CAE tool that uses the temporary library and the library for designing a semiconductor product has been described. However, the present invention is not limited to this. For example, any library in which each data is stored in association with an identifier for identifying a record may be used. Furthermore, for a general customer database, “birth date” and “ Any library can be applied to the present invention as long as a key that serves as a certain identifier is specified from a plurality of items, such as a name identification process using “first and last name (or only first name)” as a key.

(3) Program In the above embodiment, the case where various processes are realized by hardware logic has been described. However, the present invention is not limited to this, and a program prepared in advance is executed by a computer. It may be realized by this. In the following, an example of a computer that executes a library automatic generation program having the same function as the library automatic generation apparatus shown in the above embodiment will be described with reference to FIG. FIG. 10 is a diagram illustrating a computer that executes an automatic library generation program.

  As shown in FIG. 10, the computer 110 as the library automatic generation apparatus is configured by connecting an HDD 130, a CPU 140, a ROM 150, and a RAM 160 through a bus 180 or the like.

  In the ROM 150, a library automatic generation program that performs the same function as the library automatic generation apparatus 10 shown in the first embodiment, that is, as shown in FIG. 10, a data read program 150a, a data comparison program 150b, and data A registration program 150c is stored in advance. Note that these programs 150a to 150c may be appropriately integrated or distributed in the same manner as each component of the automatic library generation device 10 shown in FIG.

  Then, the CPU 140 reads these programs 150a to 150c from the ROM 150 and executes them, so that the programs 150a to 150c have a data reading process 140a, a data comparison process 140b, and a data registration process, as shown in FIG. 140c will function. The processes 140a to 140c correspond to the data reading unit 15a, the data comparison unit 15b, and the data registration unit 15c shown in FIG.

  Then, the CPU 140 executes a library automatic generation program based on the read data 160a recorded in the RAM 160 and the set value data 160b.

  The above-described programs 150a to 150c are not necessarily stored in the ROM 150 from the beginning. For example, a flexible disk (FD), a CD-ROM, a DVD disk, and a magneto-optical disk inserted into the computer 110. Connected to the computer 110 via a "portable physical medium" such as an IC card, or a "fixed physical medium" such as an HDD provided inside or outside the computer 110, and further via a public line, the Internet, a LAN, a WAN, etc. Each program may be stored in “another computer (or server)” or the like, and the computer 110 may read and execute each program from now on.

1 is a diagram illustrating an overview and features of an automatic library generation device according to Embodiment 1. FIG. It is a figure which shows the structure of the library automatic generation apparatus which concerns on Example 1. FIG. FIG. 6 is a diagram illustrating an example of data stored in a read data storage unit according to the first embodiment. FIG. 6 is a diagram illustrating an example of data stored in a setting value storage unit according to the first embodiment. 6 is a diagram illustrating an example of an input template for connector part data held in a temporary library according to Embodiment 1. FIG. FIG. 10 is a diagram illustrating an example of a BGA input template held in a temporary library according to the first embodiment. It is a figure which shows the example of the input template of the radiation fin hold | maintained at the temporary library which concerns on Example 1. FIG. It is a figure for demonstrating calculation of a coincidence rate and data registration which concern on Example 1. FIG. 6 is a flowchart for explaining library automatic generation processing by the library automatic generation apparatus according to the first embodiment; It is a figure which shows the computer which executes a library automatic generation program. It is a figure for demonstrating the process in the library preparation based on a prior art. It is a figure for demonstrating the process in the library preparation based on a prior art.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Library automatic generation apparatus 11 Input part 12 Display part 13 I / F part 14 Storage part 14a Reading data storage part 14b Setting value storage part 15 Control part 15a Data reading part 15b Data comparison part 15c Data registration part

Claims (6)

A library automatic generation device for generating a main library in which one or a plurality of temporary library data is collected based on one or a plurality of temporary libraries in which each data is stored in association with an identifier for identifying a record. ,
A set value storage unit for storing various set values for use in various processes;
Extracting means for extracting a plurality of records having the same identifier stored in the temporary library;
A determination unit that calculates a matching rate indicating a degree of matching between each data of the plurality of records extracted by the extraction unit, and determines whether each data of the plurality of records is the same;
When the matching rate between the data of the plurality of records determined by the determination unit is equal to or higher than the threshold stored in the set value storage unit, the plurality of records are merged into one record and registered in the library. An automatic library generating apparatus comprising: a registration unit. The extraction unit extracts a plurality of records having the same identifier when the number of records having the same identifier stored in the temporary library exceeds a predetermined number stored in the setting value storage unit. The library automatic generation device according to claim 1. The determination unit determines whether or not data other than non-comparison data items stored in the set value storage unit is the same among the data of the plurality of records extracted by the extraction unit. The library automatic generation apparatus according to claim 1. The set value storage unit compares the number of extraction start records indicating the total number of a plurality of records having the same identifier in the one or a plurality of temporary libraries and data excluded from data comparison / determination by the determination unit The library automatic generation apparatus according to any one of claims 1 to 3, wherein non-target data and a matching rate threshold value that is a matching rate threshold value indicating a matching degree between predetermined data are stored. . Based on one or more temporary libraries that store each piece of data in association with an identifier for identifying a record, this is suitable for an automatic library generation device that generates a main library in which one or more temporary library data is collected. A library automatic generation method,
An extraction step of extracting a plurality of records having the same identifier stored in the temporary library;
A determination step of calculating a matching rate indicating a degree of matching between each data of a plurality of records extracted by the extraction step, and determining whether each data of the plurality of records is the same;
A registration step of merging the plurality of records into one record and registering it in the library when the matching rate between the data of the plurality of records determined by the determination step is equal to or greater than a threshold;
A library automatic generation method characterized by including A library that causes a computer to generate a main library in which one or a plurality of temporary library data is collected based on one or a plurality of temporary libraries in which each data is stored in association with an identifier for identifying a record An automatic generation program,
An extraction procedure for extracting a plurality of records having the same identifier stored in the temporary library;
A determination procedure for calculating a matching rate indicating a matching degree between each data of a plurality of records extracted by the extraction procedure, and determining whether each data of the plurality of records is the same;
A registration procedure for merging the plurality of records into one record and registering it in the library when the matching rate between the data of the plurality of records determined by the determination procedure is equal to or greater than a threshold;
Library generating program characterized by causing a computer to execute the program.

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