WO2017056207A1 - Design rule generation device - Google Patents

Design rule generation device Download PDF

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WO2017056207A1
WO2017056207A1 PCT/JP2015/077641 JP2015077641W WO2017056207A1 WO 2017056207 A1 WO2017056207 A1 WO 2017056207A1 JP 2015077641 W JP2015077641 W JP 2015077641W WO 2017056207 A1 WO2017056207 A1 WO 2017056207A1
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design rule
parameter
design
child
parent
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仲田 輝男
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株式会社日立製作所
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  • the present invention relates to a design rule generation device.
  • Patent Document 1 JP 2010-128699 A
  • the design rule generation device of this publication is disclosed in [0010] of Patent Document 1 “Design rules are the items of the required specifications and the required values for the IF part (preceding part), the design items and the design values for the IF. As described in “The rule of the THEN part (consequent part)”, the IF part specifies the items of the required specifications and the required values for them.
  • Patent Document 1 can be applied only to actual products. Since there are some product specification items of actual products that cannot be determined unless the specification values of other product specification items are determined in addition to the required specification items, the technology disclosed in Patent Document 1 includes products for all product specification items. The specification value cannot be determined.
  • the specification value may not be determined depending on other input product specification items.
  • An object of the present invention is to provide a design rule generation device capable of determining the specification values of more, preferably all product specification items.
  • the specification item on the input side (IF part) of the design rule is the parent parameter
  • the specification item on the output side (THEN part) is the child parameter
  • the specification item that is a child parameter for the specification item of the child parameter is the parent parameter.
  • a grandchild parameter for a parameter, a child parameter specification item for a grandchild parameter specification item, a grandchild parameter for a parent parameter, a child parameter, a grandchild, a grandchild, etc. Define descendant parameters for.
  • the present inventors when generating a design rule with a certain product specification as a child parameter, set the parameter excluding the descendant parameter of the child parameter as a parent parameter candidate as a design rule. It was decided to generate.
  • FIG. 1 shows the configuration of the design rule generation apparatus.
  • the design rule generation apparatus includes an input / output unit 101 having a function of performing input / output through an input / output device, a storage unit 102, and a calculation unit 103.
  • the storage unit 102 stores parameter parent-child relationship data 104, parameter master data 105, design performance data 106, design rule generation order data 107, and evaluation result data 108.
  • the calculation unit 103 includes a design rule generation processing unit 109. The processing of each unit and stored data will be described later.
  • the design rule generation device transmits the generated design rule to a product specification design device (not shown), and product design is performed.
  • FIG. 2 shows a design rule generation processing flow executed in the design rule generation processing unit.
  • step 201 if there is a given design rule, the parameter parent-child relationship data 104 is generated based on that.
  • An example of the parameter parent-child relationship data 104 is shown in FIG.
  • the parameter parent-child relationship data 104 defines a child parameter determined by the design rule, a parent parameter related to the determination of the child parameter, and a relationship between the parent parameter and the child parameter as a design rule. Also, since different design rules are generated according to the design rule generation order for each parameter, a design rule proposal No. is defined, and a group of design rules having the same design rule proposal No. is regarded as one design rule.
  • step 202 parameters that are not used in the definition of the design rule for determining the product specifications are extracted from the parameter parent-child relationship data 104 and the parameter master data 105.
  • An example of the parameter master data 105 is shown in FIG.
  • the parameter master data 105 for each parameter, an attribute is defined for classifying whether the parameter is a parameter having a requirement specification given in advance or a parameter having a product specification determined based on a design rule.
  • the attributes for classifying each are defined as “request” and “product”.
  • step 202 it is checked whether or not all the parameters whose attribute in the category field of the parameter master data 105 is “product” are registered in the child parameters of the parameter parent-child relationship data 104, and the child parameters of the parameter parent-child relationship data 104 are checked. Extract parameters of product specifications that are not in the list.
  • a design rule generation order is determined for the parameters extracted in step 202.
  • a plurality of product specification parameters are extracted in step 202, it is necessary to determine the order in which design rules are generated from which parameters. This is because design rules are generated by selecting parent parameters so as not to include descendant parameters, so parameters that generate design rules in a later order than parameters that generate design rules in an earlier order, This is because the number of parent parameter candidates is reduced, and the resulting design rules are different. Therefore, in step 203, a plurality of design rule generation orders are determined, and different design rule proposal numbers are assigned to the respective design rule generation orders.
  • An example of the design rule generation order data 107 shown in FIG. 7 will be described.
  • a design rule generation order is generated in which Q is the first generation order and R is the second generation order.
  • Option No. 1 is generated, and on the other hand, a design rule generation order in which R is the first generation order and Q is the second generation order is generated. 2 is given.
  • a parameter that is a parent parameter candidate of the design rule to be generated is extracted.
  • a certain design rule proposal is selected.
  • the design rule No. of the design rule generation order data 107 is displayed. 1 is selected.
  • a child parameter whose generation order is early from the design rule generation order data 107 is set as a design rule generation target parameter.
  • the parameter Q since the parameter Q is the first in the generation order, the parameter Q is set as a design rule generation target parameter.
  • the data row A in which the design rule generation target parameter is the parent parameter is extracted.
  • the child parameter of this data row A is excluded from the parent parameter candidates of the design rule to be generated.
  • the data row B in which the parameter that is the child parameter is the parent parameter is further extracted, and the parameter that is the child parameter (the grandchild parameter for the parent parameter of the data row A) in the data row B is Exclude it from the parent parameter candidates of the design rule you are trying to generate. Similarly, the procedure is repeated until all the descendant parameters are extracted.
  • the parameters excluded from the parent parameter candidates in the above processing are removed from all parameters (all of the category “request” and category “product”) in the parameter master data 105 regardless of the category.
  • the parent parameter candidate of the design rule to be generated is extracted.
  • the parent parameter is related to the child parameter, and a design rule is generated.
  • a design rule is generated using the design performance data 106 as shown in FIG. 6, a multiple regression equation for estimating the child parameter is generated using the child parameter as an objective variable and the parent parameter as an explanatory variable.
  • each parameter is added to or excluded from the explanatory variable from the parent parameter candidates, and a parent parameter with high estimation accuracy of the multiple regression equation is obtained.
  • the multiple regression equation generated at this time is added to the parameter parent-child relationship data 104 as new data defining child parameters, parent parameters, and design rules.
  • design rule generation method is not limited to the method described above, and any method for associating child parameters with parent parameters may be used.
  • step 206 it is determined whether the design rule for determining the specification is defined for all the product specification parameters of the selected design rule proposal. If there is a parameter for which the design rule is not defined, the process returns to step 204. Repeat the process.
  • step 207 it is determined whether design rule generation has been completed for all design rule proposals generated in step 203. If there is a design rule proposal for which design rule generation has not been completed, the process advances to step 204. Return and repeat the process.
  • step 208 for each design rule proposal, the design result when the design rule is applied is calculated and evaluated using the design result data 106.
  • all data having the same design rule proposal No. is extracted from the parameter parent-child relationship data 104, and each design rule is acquired from the extracted data.
  • one design record data is extracted from the design record data 106.
  • parameter values classified as required specifications by the parameter master data 105 are acquired.
  • a design rule operation in which all parent parameter values are determined from the extracted design rules is executed, and child parameter values of the design rules are determined. If there is a design rule in which all parent parameter values are determined by calculation of another design rule, the calculation of the design rule is executed. In this way, this procedure is repeated until the values of all parameters are confirmed.
  • FIG. 10 shows an example in which a plurality of design rules are generated.
  • the parameter values classified as product specifications by the parameter master data 105 are acquired from the design result data extracted from the design result data 106.
  • evaluation values are calculated by comparing values determined by the design rules with values of design results.
  • an error is calculated in this embodiment.
  • the absolute value of the difference between the value determined by the design rule and the value of the design performance is divided by the value of the design performance, and the percentage is calculated as a percentage.
  • the evaluation value calculated here is stored in the evaluation result data 108 illustrated in FIG. 8 for each design rule proposal, design result, and parameter.
  • the method of calculating the evaluation index and the evaluation value is not limited to the above-described index and method, and any index or method for evaluating the difference may be used.
  • step 209 the input / output unit 101 displays the generated design rule proposal and the evaluation result.
  • FIG. 3 shows an example of a screen of design rules and evaluation results displayed on the input / output unit 101. 301, an area for displaying a list of design rule proposals, an area for displaying a parent-child relationship of design rules for a design rule proposal selected from 301, and a design performance as shown in 304. There is an area for displaying an evaluation value using, and the design rule for determining the parameter is displayed as shown in 303 by placing the cursor on the parameter.
  • the user refers to the evaluation result of the design rule proposal, selects the design rule proposal that seems to be applied, and presses the design rule registration button. As a result, the registered design rule is transmitted to the product specification design apparatus.
  • 101 Input / output unit
  • 102 storage unit
  • 103 arithmetic unit
  • 104 Parameter parent-child relationship data
  • 105 Parameter master data
  • 106 design result data
  • 107 design rule generation order data
  • 108 Evaluation result data
  • 109 Design rule generation processing unit

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Abstract

The purpose of the present invention is to make it possible to generate a group of design rules that allows the determination of many, preferably all, product specifications. In order to accomplish this purpose, when a design rule using a certain selected product specification as a child parameter is to be generated, the device according to the present invention uses, as parent parameter candidates for the design rule, requested specifications and other product specifications except for offspring parameters of the selected product specification. The device according to the present invention repeats this design rule generation process so as to generate a group of design rules for product specifications for which no design rules are currently available.

Description

設計ルール生成装置Design rule generator
 本発明は、設計ルール生成装置に関する。 The present invention relates to a design rule generation device.
 プラントやインフラ設備など、顧客の要求仕様を受けてから製品設計を行う受注設計製品においては、設計業務を効率化するため、製品仕様を自動決定する製品仕様設計装置がしばしば用いられる。この製品仕様設計装置には、製品仕様を決定する設計ルールが必要である。この設計ルール生成の背景技術として、特開2010-128699号公報(特許文献1)がある。この公報の設計ルール生成装置は、特許文献1の[0010]に「設計ルールは,前記要求仕様の項目及びそれに対する要求値をIF部(前件部),前記設計項目及びそれに対する設計値をTHEN部(後件部)とするルールである。」と記載されているように、IF部に要求仕様の項目及びそれに対する要求値を規定するものが対象である。 In order-made products such as plants and infrastructure equipment that design products after receiving customer requirements, product specification design devices that automatically determine product specifications are often used to improve design efficiency. This product specification design device requires a design rule for determining product specifications. As a background art of this design rule generation, there is JP 2010-128699 A (Patent Document 1). The design rule generation device of this publication is disclosed in [0010] of Patent Document 1 “Design rules are the items of the required specifications and the required values for the IF part (preceding part), the design items and the design values for the IF. As described in “The rule of the THEN part (consequent part)”, the IF part specifies the items of the required specifications and the required values for them.
特開2010-128699号公報JP 2010-128699 A
 特許文献1の技術では、実際の製品には限定的にしか適用できない。実際の製品の製品仕様項目には、要求仕様項目だけでなく、他の製品仕様項目の仕様値が決定しないと決定できないものがあるため、特許文献1の技術では、全ての製品仕様項目について製品仕様値決定することはできないのである。 The technology of Patent Document 1 can be applied only to actual products. Since there are some product specification items of actual products that cannot be determined unless the specification values of other product specification items are determined in addition to the required specification items, the technology disclosed in Patent Document 1 includes products for all product specification items. The specification value cannot be determined.
 そこで、要求仕様項目の要求値と他の製品仕様項目の仕様値を入力し当該製品仕様項目の仕様値を出力する設計ルールが必要となる。 Therefore, a design rule is required that inputs the required value of the required specification item and the specification value of the other product specification item and outputs the specification value of the product specification item.
 しかし、この場合、入力とした他の製品仕様項目によって、仕様値を決定できなくなる場合があった。 However, in this case, the specification value may not be determined depending on other input product specification items.
 本発明の目的は、より多くの、望ましくは全ての製品仕様項目の仕様値を決定できる設計ルール生成装置を提供することである。 An object of the present invention is to provide a design rule generation device capable of determining the specification values of more, preferably all product specification items.
 本出願人は、仕様値を決定できなかった製品仕様項目を分析した結果、共通点があることを見出した。 The applicant has found that there is something in common as a result of analyzing product specification items for which specification values could not be determined.
 まず、設計ルールの入力側(IF部)の仕様項目を親パラメータ、出力側(THEN部)の仕様項目を子パラメータ、前記子パラメータの仕様項目に対して子パラメータになっている仕様項目を親パラメータに対する孫パラメータ、前記孫パラメータの仕様項目に対する子パラメータの仕様項目を親パラメータに対する曾孫パラメータ、親に対する子、孫、曾孫のように、複数世代に跨り階層的に繋がる子以下のパラメータを親パラメータに対する子孫パラメータと定義する。 First, the specification item on the input side (IF part) of the design rule is the parent parameter, the specification item on the output side (THEN part) is the child parameter, and the specification item that is a child parameter for the specification item of the child parameter is the parent parameter. A grandchild parameter for a parameter, a child parameter specification item for a grandchild parameter specification item, a grandchild parameter for a parent parameter, a child parameter, a grandchild, a grandchild, etc. Define descendant parameters for.
 この定義を前提とし、ある製品仕様(子パラメータ)を対象とする設計ルールを生成する際に、対象設計ルールの親パラメータとして当該子パラメータ及び当該子パラメータの子孫パラメータを定義した設計ルールを生成すると、設計ルールがループするため、仕様値を決定できない場合が生じていた。 Based on this definition, when generating a design rule that targets a product specification (child parameter), if a design rule that defines the child parameter and the descendant parameter of the child parameter is generated as a parent parameter of the target design rule Because the design rule loops, the specification value could not be determined.
 そこで、本発明者らは、上記課題を解決するために、ある製品仕様を子パラメータとした設計ルールを生成する際、その子パラメータの子孫パラメータを除いたパラメータを、親パラメータの候補として、設計ルールの生成を行うこととした。 Therefore, in order to solve the above problems, the present inventors, when generating a design rule with a certain product specification as a child parameter, set the parameter excluding the descendant parameter of the child parameter as a parent parameter candidate as a design rule. It was decided to generate.
 本発明によれば、より多くの、望ましくは全ての製品仕様項目が決定可能な設計ルールを生成できる。 According to the present invention, it is possible to generate design rules that can determine more, preferably all product specification items.
設計ルール生成装置の構成を示した図である。It is the figure which showed the structure of the design rule production | generation apparatus. 設計ルール生成処理部において実行される設計ルール生成処理のフローを示した図である。It is the figure which showed the flow of the design rule production | generation process performed in a design rule production | generation part. 設計ルール確認・登録画面を示した図である。It is the figure which showed the design rule confirmation and registration screen. パラメータ親子関係データを示した図である。It is the figure which showed parameter parent-child relationship data. パラメータマスタデータを示した図である。It is the figure which showed parameter master data. 設計実績データを示した図である。It is the figure which showed design performance data. 設計ルール生成順序データを示した図である。It is the figure which showed the design rule production | generation order data. 評価結果データを示した図である。It is the figure which showed evaluation result data. パラメータの親子関係を示した図である。It is the figure which showed the parent-child relationship of a parameter. 複数の設計ルールを生成する例を示した図である。It is the figure which showed the example which produces | generates a some design rule.
 以下、本発明の実施例を説明するが、本発明は以下の実施例に限定されるものではない。 Examples of the present invention will be described below, but the present invention is not limited to the following examples.
[基本構成]
 図1に設計ルール生成装置の構成を示す。本実施例の設計ルール生成装置は、入出力デバイスを通じて入出力を行う機能を備えた入出力部101と、記憶部102と、演算部103とを含む構成である。記憶部102には、パラメータ親子関係データ104、パラメータマスタデータ105、設計実績データ106、設計ルール生成順序データ107、評価結果データ108が格納される。演算部103は設計ルール生成処理部109を備える。各部の処理及び格納されるデータについては後述する。
[Basic configuration]
FIG. 1 shows the configuration of the design rule generation apparatus. The design rule generation apparatus according to the present embodiment includes an input / output unit 101 having a function of performing input / output through an input / output device, a storage unit 102, and a calculation unit 103. The storage unit 102 stores parameter parent-child relationship data 104, parameter master data 105, design performance data 106, design rule generation order data 107, and evaluation result data 108. The calculation unit 103 includes a design rule generation processing unit 109. The processing of each unit and stored data will be described later.
 設計ルール生成装置は、生成した設計ルールを、図示しない製品仕様設計装置へ伝送し、製品設計が行われる。
[処理フロー]
 図2に、設計ルール生成処理部において実行される設計ルール生成処理フローを示す。
The design rule generation device transmits the generated design rule to a product specification design device (not shown), and product design is performed.
[Processing flow]
FIG. 2 shows a design rule generation processing flow executed in the design rule generation processing unit.
 設計ルールには、理論式や設計規格などから予め部分的に決まっているものがある。そこで、ステップ201では、所与の設計ルールがある場合、それに基づいてパラメータ親子関係データ104を生成する。パラメータ親子関係データ104の例を図4に示す。パラメータ親子関係データ104には、その設計ルールによって決定される子パラメータと、子パラメータの決定に関わる親パラメータと、設計ルールとして親パラメータと子パラメータの関係が定義される。また、各パラメータに対する設計ルール生成順序によって、異なる設計ルールが生成されるので、設計ルール案No.を定義し、設計ルール案No.が同一の設計ルール群を一つの設計ルールとみなす。 Some design rules are partially determined in advance from theoretical formulas or design standards. Therefore, in step 201, if there is a given design rule, the parameter parent-child relationship data 104 is generated based on that. An example of the parameter parent-child relationship data 104 is shown in FIG. The parameter parent-child relationship data 104 defines a child parameter determined by the design rule, a parent parameter related to the determination of the child parameter, and a relationship between the parent parameter and the child parameter as a design rule. Also, since different design rules are generated according to the design rule generation order for each parameter, a design rule proposal No. is defined, and a group of design rules having the same design rule proposal No. is regarded as one design rule.
 ステップ201では、例えば、所与の設計ルールとしてO=A+Bが入出力部101を通じて与えられた場合、Oを子パラメータ、Aを親パラメータ1、Bを親パラメータ2、O=A+Bを設計ルールとして記憶部102のパラメータ親子関係データ104に格納する。この時、設計ルール案No.は1とする。なお、この親子関係を図示すると図9のようになる。 In step 201, for example, when O = A + B is given as a given design rule through the input / output unit 101, O is a child parameter, A is a parent parameter 1, B is a parent parameter 2, and O = A + B. Is stored in the parameter parent-child relationship data 104 of the storage unit 102 as a design rule. At this time, the design rule draft No. is 1. This parent-child relationship is illustrated in FIG.
 ステップ202では、パラメータ親子関係データ104とパラメータマスタデータ105から製品仕様を決定する設計ルールの定義に使用されていないパラメータを抽出する。パラメータマスタデータ105の例を図5に示す。パラメータマスタデータ105は、各パラメータについて、予め与えられる要求仕様のパラメータか、設計ルールに基づいて決定する製品仕様のパラメータかを区分する属性が定義されている。図5の例では、それぞれを区分する属性を「要求」「製品」として定義している。 In step 202, parameters that are not used in the definition of the design rule for determining the product specifications are extracted from the parameter parent-child relationship data 104 and the parameter master data 105. An example of the parameter master data 105 is shown in FIG. In the parameter master data 105, for each parameter, an attribute is defined for classifying whether the parameter is a parameter having a requirement specification given in advance or a parameter having a product specification determined based on a design rule. In the example of FIG. 5, the attributes for classifying each are defined as “request” and “product”.
 ステップ202では、パラメータマスタデータ105の区分欄の属性が「製品」である全てのパラメータについて、パラメータ親子関係データ104の子パラメータに登録されているか否かチェックし、パラメータ親子関係データ104の子パラメータにない製品仕様のパラメータを抽出する。 In step 202, it is checked whether or not all the parameters whose attribute in the category field of the parameter master data 105 is “product” are registered in the child parameters of the parameter parent-child relationship data 104, and the child parameters of the parameter parent-child relationship data 104 are checked. Extract parameters of product specifications that are not in the list.
 ステップ203では、ステップ202で抽出したパラメータについて、設計ルールの生成順序を決定する。ステップ202で複数の製品仕様パラメータが抽出された場合、どのパラメータから設計ルールを生成するか順序を決める必要がある。なぜならば、設計ルールの生成では、子孫パラメータを含まないよう親パラメータを選択し生成するため、早い順序で設計ルールが生成されるパラメータに比べ、遅い順序で設計ルールが生成されるパラメータのほうが、親パラメータの候補が少なくなり、結果として生成される設計ルールに違いがでるからである。そこで、ステップ203では、複数の設計ルール生成順序を決定し、それぞれの設計ルール生成順序に対して、異なる設計ルール案No.を付与する。図7に示す設計ルール生成順序データ107の例で説明する。この例は、ステップ202で、パラメータQ、Rの二つが抽出された場合で、Qを生成順序の1番目、Rを生成順序の2番目とする設計ルール生成順序を生成し、これに設計ルール案No.1を付与し、一方、Rを生成順序の1番目、Qを生成順序の2番目とする設計ルール生成順序を生成し、これに設計ルール案No.2を付与している。 In step 203, a design rule generation order is determined for the parameters extracted in step 202. When a plurality of product specification parameters are extracted in step 202, it is necessary to determine the order in which design rules are generated from which parameters. This is because design rules are generated by selecting parent parameters so as not to include descendant parameters, so parameters that generate design rules in a later order than parameters that generate design rules in an earlier order, This is because the number of parent parameter candidates is reduced, and the resulting design rules are different. Therefore, in step 203, a plurality of design rule generation orders are determined, and different design rule proposal numbers are assigned to the respective design rule generation orders. An example of the design rule generation order data 107 shown in FIG. 7 will be described. In this example, when two parameters Q and R are extracted in step 202, a design rule generation order is generated in which Q is the first generation order and R is the second generation order. Option No. 1 is generated, and on the other hand, a design rule generation order in which R is the first generation order and Q is the second generation order is generated. 2 is given.
 ステップ204では、生成する設計ルールの親パラメータ候補となるパラメータの抽出を行う。まず、ある一つの設計ルール案を選択する。上述の例の場合、例えば、設計ルール生成順序データ107の設計ルールNo.1が選択される。次に、設計ルール生成順序データ107から生成順序の早い子パラメータを設計ルールの生成対象パラメータとする。上述の例の場合、パラメータQが生成順序の1番目なので、パラメータQを設計ルールの生成対象パラメータとする。 In step 204, a parameter that is a parent parameter candidate of the design rule to be generated is extracted. First, a certain design rule proposal is selected. In the case of the above example, for example, the design rule No. of the design rule generation order data 107 is displayed. 1 is selected. Next, a child parameter whose generation order is early from the design rule generation order data 107 is set as a design rule generation target parameter. In the above example, since the parameter Q is the first in the generation order, the parameter Q is set as a design rule generation target parameter.
 パラメータ親子関係データ104の選択された設計ルール案のデータの中から、この設計ルールの生成対象パラメータが親パラメータになっているデータ行Aを抽出する。このデータ行Aの子パラメータを、生成しようとしている設計ルールの親パラメータ候補から除外する。更に、当該子パラメータになっているパラメータが親パラメータになっているデータ行Bをさらに抽出し、そのデータ行Bで子パラメータ(データ行Aの親パラメータに対する孫パラメータ)になっているパラメータも、生成しようとしている設計ルールの親パラメータ候補から除外する。
同様に、子孫パラメータを全て抽出するまで、手順を繰り返す。
From the selected design rule proposal data of the parameter parent-child relationship data 104, the data row A in which the design rule generation target parameter is the parent parameter is extracted. The child parameter of this data row A is excluded from the parent parameter candidates of the design rule to be generated. Furthermore, the data row B in which the parameter that is the child parameter is the parent parameter is further extracted, and the parameter that is the child parameter (the grandchild parameter for the parent parameter of the data row A) in the data row B is Exclude it from the parent parameter candidates of the design rule you are trying to generate.
Similarly, the procedure is repeated until all the descendant parameters are extracted.
 以上の処理により、区分を問わずに、パラメータマスタデータ105に存在する全てのパラメータ(区分「要求」及び区分「製品」の全て)から、上記処理で親パラメータ候補から除外したパラメータを除くことで、生成しようとしている設計ルールの親パラメータ候補を抽出する。 By the above processing, the parameters excluded from the parent parameter candidates in the above processing are removed from all parameters (all of the category “request” and category “product”) in the parameter master data 105 regardless of the category. The parent parameter candidate of the design rule to be generated is extracted.
 ステップ205では、当該子パラメータに対して親パラメータを関係付けし、設計ルールを生成する。図6に示すような設計実績データ106を用いて、当該子パラメータを目的変数とし、親パラメータを説明変数として、子パラメータを推定する重回帰式を生成する。この際、ステップワイズ法を用いて、親パラメータ候補の中から各パラメータを説明変数に加えたり、除外したりして、重回帰式の推定精度が高くなる親パラメータを求める。この時生成された重回帰式をパラメータ親子関係データ104に、子パラメータ、親パラメータ、設計ルールを定義した新規データとして追加する。 In step 205, the parent parameter is related to the child parameter, and a design rule is generated. Using the design performance data 106 as shown in FIG. 6, a multiple regression equation for estimating the child parameter is generated using the child parameter as an objective variable and the parent parameter as an explanatory variable. At this time, using the stepwise method, each parameter is added to or excluded from the explanatory variable from the parent parameter candidates, and a parent parameter with high estimation accuracy of the multiple regression equation is obtained. The multiple regression equation generated at this time is added to the parameter parent-child relationship data 104 as new data defining child parameters, parent parameters, and design rules.
 なお、設計ルールの生成方法は、前述した方法に限定されるものではなく、子パラメータと親パラメータを関係付ける如何なる方法を用いても良い。 Note that the design rule generation method is not limited to the method described above, and any method for associating child parameters with parent parameters may be used.
 ステップ206では、選択されている設計ルール案の全ての製品仕様のパラメータついて、仕様を決定する設計ルールが定義されたか判定し、設計ルールが定義されていないパラメータがある場合、ステップ204へ戻って処理を繰り返す。 In step 206, it is determined whether the design rule for determining the specification is defined for all the product specification parameters of the selected design rule proposal. If there is a parameter for which the design rule is not defined, the process returns to step 204. Repeat the process.
 ステップ207では、ステップ203で生成された全ての設計ルール案に対して、設計ルールの生成が完了しているか判定し、設計ルールの生成が完了していない設計ルール案がある場合、ステップ204へ戻って処理を繰り返す。 In step 207, it is determined whether design rule generation has been completed for all design rule proposals generated in step 203. If there is a design rule proposal for which design rule generation has not been completed, the process advances to step 204. Return and repeat the process.
 ステップ208では、各設計ルール案に対して、設計実績データ106を用いて、その設計ルールを適用したときの設計結果を算出し、評価する。まず、パラメータ親子関係データ104から設計ルール案No.が同一のデータを全て抽出し、その中から各設計ルールを取得する。次に、設計実績データ106から一つの設計実績データを抽出する。その抽出した設計実績データの中からパラメータマスタデータ105で要求仕様と区分されているパラメータの値を取得する。抽出しておいた設計ルールの中から親パラメータの値が全て確定している設計ルールの演算を実行し、その設計ルールの子パラメータの値を確定する。他の設計ルールの演算によって、親パラメータの値が全て確定した設計ルールがあれば、その設計ルールの演算を実行する。このように、全てのパラメータの値が確定されるまで、この手順を繰り返す。図10に、複数の設計ルールが生成された例を示す。 In step 208, for each design rule proposal, the design result when the design rule is applied is calculated and evaluated using the design result data 106. First, all data having the same design rule proposal No. is extracted from the parameter parent-child relationship data 104, and each design rule is acquired from the extracted data. Next, one design record data is extracted from the design record data 106. From the extracted design performance data, parameter values classified as required specifications by the parameter master data 105 are acquired. A design rule operation in which all parent parameter values are determined from the extracted design rules is executed, and child parameter values of the design rules are determined. If there is a design rule in which all parent parameter values are determined by calculation of another design rule, the calculation of the design rule is executed. In this way, this procedure is repeated until the values of all parameters are confirmed. FIG. 10 shows an example in which a plurality of design rules are generated.
 次に、設計実績データ106から一つ抽出しておいた設計実績データの中からパラメータマスタデータ105で製品仕様と区分されているパラメータの値を取得する。ここで、製品仕様と区分されているパラメータ全てについて、設計ルールによって確定された値と設計実績の値を比較し評価値を算出する。評価値の一例として、本実施例では誤差を算出する。設計ルールによって確定された値と設計実績の値の差分の絶対値を設計実績の値で割って、百分率で割合を算出する。ここで算出した評価値を図8に例示する評価結果データ108に、設計ルール案、設計実績、パラメータ毎に格納する。 Next, the parameter values classified as product specifications by the parameter master data 105 are acquired from the design result data extracted from the design result data 106. Here, for all parameters classified as product specifications, evaluation values are calculated by comparing values determined by the design rules with values of design results. As an example of the evaluation value, an error is calculated in this embodiment. The absolute value of the difference between the value determined by the design rule and the value of the design performance is divided by the value of the design performance, and the percentage is calculated as a percentage. The evaluation value calculated here is stored in the evaluation result data 108 illustrated in FIG. 8 for each design rule proposal, design result, and parameter.
 なお、評価指標や評価値の算出方法は、前述した指標や方法に限定されるものではなく、差分を評価する如何なる指標や方法を用いても良い。 Note that the method of calculating the evaluation index and the evaluation value is not limited to the above-described index and method, and any index or method for evaluating the difference may be used.
 ステップ209では、生成した設計ルール案と評価結果を入出力部101で表示する。
[設計ルール確認・登録画面]
 図3に入出力部101に表示される設計ルールや評価結果の画面の例を示す。301に示すように設計ルール案の一覧が表示されるエリアと、301から選択された設計ルール案について、302に示すように設計ルールの親子関係を表示するエリアと、304に示すように設計実績を用いた評価値を表示するエリアがあり、カーソルをパラメータに合わせることで、そのパラメータを決定する設計ルールが303に示すように表示される。
In step 209, the input / output unit 101 displays the generated design rule proposal and the evaluation result.
[Design Rule Confirmation / Registration Screen]
FIG. 3 shows an example of a screen of design rules and evaluation results displayed on the input / output unit 101. 301, an area for displaying a list of design rule proposals, an area for displaying a parent-child relationship of design rules for a design rule proposal selected from 301, and a design performance as shown in 304. There is an area for displaying an evaluation value using, and the design rule for determining the parameter is displayed as shown in 303 by placing the cursor on the parameter.
 ユーザは、設計ルール案の評価結果を参照し、適用と思われる設計ルール案を選択して、設計ルール登録ボタンを押す。これにより、登録された設計ルールが製品仕様設計装置へ伝送される。 The user refers to the evaluation result of the design rule proposal, selects the design rule proposal that seems to be applied, and presses the design rule registration button. As a result, the registered design rule is transmitted to the product specification design apparatus.
101:入出力部、
102:記憶部、
103:演算部、
104:パラメータ親子関係データ、
105:パラメータマスタデータ、
106:設計実績データ、
107:設計ルール生成順序データ、
108:評価結果データ、
109:設計ルール生成処理部、
101: Input / output unit,
102: storage unit,
103: arithmetic unit,
104: Parameter parent-child relationship data,
105: Parameter master data,
106: design result data,
107: design rule generation order data,
108: Evaluation result data,
109: Design rule generation processing unit,

Claims (6)

  1.  親パラメータを入力とし、子パラメータを出力として、親パラメータ候補と子パラメータとの間の関係付けを定義して、設計ルールを生成する設計ルール生成装置であって、
     要求仕様及び製品仕様を含むパラメータマスタデータと、設計実績データと、設計データを記憶する記憶部と、
     前記パラメータマスタデータから生成対象とする設計ルールの子パラメータを抽出する第1の機能と、
     前記パラメータマスタデータの全パラメータから前記生成対象とする設計ルールの子パラメータ及びその子パラメータに対する子孫パラメータを除外し、前記生成対象とする設計ルールの親パラメータ候補とする第2の機能と、
     前記設計実績データに基づいて、親パラメータ候補と当該子パラメータの間の関係付けを行い、設計ルールを生成する第3の機能を有する
    ことを特徴とする設計ルール生成装置。
    A design rule generation device that generates a design rule by defining a relationship between a parent parameter candidate and a child parameter by using a parent parameter as an input and a child parameter as an output,
    Parameter master data including required specifications and product specifications, design results data, storage unit for storing design data,
    A first function for extracting child parameters of a design rule to be generated from the parameter master data;
    A second function of excluding child parameters of the design rule to be generated and descendant parameters for the child parameters from all parameters of the parameter master data, and setting as a parent parameter candidate of the design rule to be generated;
    A design rule generating apparatus characterized by having a third function of generating a design rule by associating a parent parameter candidate with the child parameter based on the design result data.
  2.  請求項1において,
     前記第2機能及び前記第3機能を繰り返し用いて、複数の製品仕様について設計ルールを生成することを特徴とする設計ルール生成装置。
    In claim 1,
    A design rule generation apparatus for generating a design rule for a plurality of product specifications by repeatedly using the second function and the third function.
  3.  請求項1において,
     前記第3の機能は、前記親パラメータ候補と子パラメータとの間の関係付けを、前記設計実績データによる当該親パラメータ候補と子パラメータの回帰分析により行うことを特徴とする設計ルール生成装置。
    In claim 1,
    The third function is a design rule generation device characterized in that the relationship between the parent parameter candidate and the child parameter is performed by regression analysis of the parent parameter candidate and the child parameter based on the design result data.
  4.  請求項3において,
     前記第3の機能は、前記設計実績データを用いて算出された設計ルールの評価を行うことを特徴とする設計ルール生成装置。
    In claim 3,
    The third function is a design rule generation apparatus characterized in that a design rule calculated using the design result data is evaluated.
  5.  請求項1において,
     前記設計ルールを生成する順序案を複数生成し、生成順序案毎に設計ルールを生成する第4の機能を有することを特徴とする設計ルール生成装置。
    In claim 1,
    A design rule generation apparatus having a fourth function of generating a plurality of order plans for generating the design rule and generating a design rule for each generation order plan.
  6.  請求項5において,
     前記設計ルールの生成順序案毎に生成された各々の設計ルールと評価結果を表示する第5の機能を有することを特徴とする設計ルール生成装置。
    In claim 5,
    A design rule generation apparatus having a fifth function of displaying each design rule generated for each design rule generation order plan and an evaluation result.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0477861A (en) * 1990-07-16 1992-03-11 Hitachi Ltd Order reception designing system
JP2005122509A (en) * 2003-10-17 2005-05-12 Hitachi Ltd Program, system and method for analyzing hierarchical structure data
JP2010128710A (en) * 2008-11-26 2010-06-10 Kobe Steel Ltd Design rule generator, and design rule generation program

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0477861A (en) * 1990-07-16 1992-03-11 Hitachi Ltd Order reception designing system
JP2005122509A (en) * 2003-10-17 2005-05-12 Hitachi Ltd Program, system and method for analyzing hierarchical structure data
JP2010128710A (en) * 2008-11-26 2010-06-10 Kobe Steel Ltd Design rule generator, and design rule generation program

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