KR20040065889A - Performance estimatable device and method for the same - Google Patents

Abstract

PURPOSE: A performance estimation system and method is provided to store test data on a performance when a product sample is tested, to compare the test data with design parameters of a new modeled product, and to estimate the performance of the new modeled product. CONSTITUTION: The method comprises several steps. A product is 3 dimensionally modeled on a basis of an application program embedded in a client(S11). Design parameters on the modeled product are input in a design parameter input module(S12). The input design parameters are transmitted to a server over a network(S13). A performance estimation is simulated at a performance estimation output module according to the transmitted design parameters(S14, S15). The performance estimation result is input in a performance estimation input module, is output via a graph or a table, and is checked(S16).

Description

Performance estimatable device and method for the same

The present invention relates to a performance predicting device and a method thereof, and more particularly, to a performance predicting device and a method for easily measuring the performance of the product so that the product satisfies the performance required in manufacturing the product.

In general, the product design changes several design variables to obtain the required performance, manufactures each sample according to the changed design variable, and checks whether the sample satisfies the required performance. Done.

In addition, since the product design is closely related to the product delivery date, a rapid performance measurement is required.

1 is a flowchart illustrating a performance measuring method according to the prior art, and first determines a design variable of a product according to the performance required in the first step (see S1).

Herein, the design variable means an element that can be changed to implement a product's performance, and for example, surface roughness, length, weight, and the like.

The second step performs the drawing operation of the product according to the design variable determined in the first step (see S2).

In this case, the drawing operation of the product refers to an application program capable of a user-defined program such as a CAD that can automatically design a three-dimensional object, the designer of the product to the design variable through the application program To model the product accordingly.

The third step is to produce a sample for evaluating the performance and appearance before the mass production of the product drawn in the second step through the manufacturing line, the sample has the same performance and appearance as the actual product produced (See S3)

The fourth step measures the performance of the sample produced in the third step through a measuring instrument (see S4).

In the fifth step, if the performance of the sample satisfies the required performance as a result of the measurement in the fourth step, a product having the same performance and appearance as the sample is manufactured (see S5 and S6).

If, as a result of the measurement of the fourth step, the performance of the sample does not satisfy the required performance, if the sample satisfying the required performance is produced by repeatedly performing the first to fourth steps, the sample is Through the production of the product.

However, since the performance measurement method according to the conventional technology as described above is required to produce a sample to measure the performance of the required product and to measure the performance accordingly, this increases the cost and time required, There is a problem in that the delivery time of the product may be delayed when the sample is repeatedly produced because it does not satisfy the required performance, and the performance of the product without the sample may not be predicted.

In addition, there is a problem in that there is a lot of difficulty in determining the design variable according to the experience of the designer when making the sample.

The present invention has been made to solve the above problems of the prior art, the object of which is to store the measurement data generated during the measurement of the performance of the sample of the product, and when designing a new product modeling design variables and pre-stored measurement of the modeled product The present invention provides a performance prediction apparatus and method that can reduce the cost and time required for sample production by enabling data to be predicted by comparing and analyzing data.

1 is a flow chart illustrating a performance measurement method according to the prior art,

2 is a block diagram showing the configuration of a performance predicting apparatus according to the present invention;

3 is a flowchart illustrating a performance prediction method according to the present invention.

<Explanation of symbols on main parts of the drawings>

10: Client 11: Application

12: design variable input module 13: performance prediction input module

20: server 21: performance prediction output module

22: pattern learning module 23: schedule management module

24: database unit 30: network

According to a feature of the performance prediction apparatus according to the present invention for solving the above problems, a client that has a three-dimensional modeling application is built so that the designer can model the product, the client is a design variable is generated for the modeled product And a server for performing the performance prediction simulation of the modeled product through the design variables generated by the client, and then storing the performance prediction result and transmitting the result to the client.

In addition, according to the characteristics of the performance prediction method according to the present invention, when the product that the designer wants to manufacture through the application program capable of three-dimensional modeling is modeled in the first step of generating and outputting the design variables according to the first step, A second step of generating and outputting a performance prediction result according to the performance prediction simulation according to the modeled product according to the output design variable, and the performance prediction result output in the second step is output for the designer to confirm It comprises a third step.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

As shown in FIG. 2, the performance predicting apparatus according to the present invention includes an application program 11 capable of three-dimensional modeling so that a designer can model a product to be manufactured, and a product modeled by the designer. A server for generating and outputting a design variable and a server for performing performance prediction simulation according to the design variable output from the client 10 and storing the performance prediction result accordingly and transmitting the result to the client 10. 20), and the client 10 and the server 20 transmit and receive the design variables and performance prediction results through a network 30 such as the Internet or an intranet based on TCP / IP.

Here, the client 10 includes a design variable input module 12 into which design variables of the modeled product are input, and a performance prediction input module 13 into which a performance prediction result transmitted from the server 20 is input. It is configured by.

In this case, the application program 11 refers to a 3D CAD that can be a user-defined program, the designer directs the design variables of the product modeled through the application program to the design module input module 12 If the input or the design variable is a numerical value, it is input to the design variable input module 12 on the application program (11).

In addition, the performance prediction input module 13 may output the performance prediction result in the form of a table or graph so that the designer can check the performance prediction result transmitted from the server 20. Output through a peripheral device connected to the client (10).

On the other hand, the server 20 is the performance prediction output module 21 and the performance prediction output module 21 outputs the performance prediction result is generated after the performance prediction simulation is input according to the design variable transmitted through the network 30 and the performance prediction output It comprises a database unit 24 for storing the performance prediction results output from the module 21.

In this case, the server 20 further includes a pattern learning module 22 for extracting a pattern of performance prediction results according to design variables through performance prediction results for various design variables previously stored in the database unit 24. Through the pattern extracted by the pattern learning module 22, the performance prediction output module 21 performs a performance prediction simulation on the design variable transmitted from the client 10.

In addition, the server 20 further includes a schedule management module 23 for allowing the pattern learning module 22 to learn the performance prediction results stored in the database unit 24 at regular time intervals.

That is, the performance prediction result for the design variable transmitted from the client 10 is stored in the database unit 24, and the performance prediction result is learned in the pattern learning module 22 so as to learn the database unit 24. When the new design variable is not stored in the) is transmitted from the client 10, the pattern learning module 22 extracts the pattern relationship between the newly generated design variable according to the previously stored performance prediction result, According to the extracted pattern relationship, the performance prediction output module 21 performs the performance prediction simulation.

Looking at the operation of the performance prediction apparatus according to the present invention configured as described above are as follows.

In the performance prediction method according to the present invention, as shown in FIG. 3, first, in a first step, a product to be manufactured by a designer is three-dimensionally modeled through an application program 11 embedded in the client 10. Reference)

In the second step, design variables for the product modeled in the first step are input to the design variable input module 12 (see S12).

In this case, the design variable is directly input by the designer to the design variable input module 12 or when the design variable is a numerical value, it is input to the design variable input module 12 on the application program 11.

In the third step, the design variables inputted to the design variable input module 12 are transmitted to the server 20 through the network 30 (see S13).

In the fourth step, the performance prediction output module 21 performs a performance prediction simulation according to the design variable transmitted in the third step, and the performance prediction result is transmitted through the network 30 to the client 10. (See S14 and S15).

In this case, the performance prediction output module 21 may determine a pattern relationship between design variables according to various performance prediction results previously stored in the database unit 24 and design variables newly input to the performance prediction output module 21. The learning module 22 extracts the performance prediction simulation according to the extracted pattern relationship and generates and outputs the performance prediction result accordingly.

In the fifth step, when the performance prediction result transmitted in the fourth step is input to the performance prediction input module 13, the performance prediction input module 13 stores the performance prediction result table through the application program 11. Alternatively, the designer may check the performance prediction result by outputting it through a graph or outputting the performance prediction result through an external output device connected to the client 10 (see S16).

The performance prediction apparatus and method according to the present invention configured as described above are a client in which design variables of a modeled product are generated through an application program capable of three-dimensional modeling, design variables generated from the client, and various pre-stored design variables. Comparing the performance measurement results for the performance of the design parameters generated in the client to perform a simulation and then the performance prediction results according to the configuration comprising the server to send to the client, there is no need to produce a separate sample when designing the product Therefore, the cost and time required for sample production can be reduced.

Claims (7)

An application capable of three-dimensional modeling is embedded for a designer to model a product, and a client for generating design variables for the modeled product and simulation of performance prediction of the modeled product through the design variables generated in the client And performing a step of storing the result of the performance prediction accordingly and transmitting the result to the client. The method of claim 1, The client may include a design variable output module for generating and outputting design variables according to the modeled product, and a performance prediction output module for inputting a performance prediction result transmitted from the server. The method of claim 1, When the design variable output from the client is input, the server performs a performance prediction simulation through the design variable, and then generates a performance prediction result according to the performance prediction input module, and the performance prediction result output from the performance prediction input module Performance prediction device comprising a database to be stored. The method of claim 3, wherein The server may include a pattern extraction module for extracting a pattern relationship between a performance prediction result pre-stored in the database unit and a performance prediction result according to the changed design variable when the design variable outputted from the client is changed, and the pattern extraction module may be used in the database unit. And a schedule management module for setting a learning schedule to learn the performance prediction result newly stored in the performance prediction apparatus. The method of claim 4, wherein The performance prediction output module performs the performance prediction simulation according to the pattern relationship extracted from the pattern extraction module, and transmits the performance prediction result according to the performance prediction device. A first step in which a design variable is generated and output when a product to be manufactured by a designer is modeled through an application program capable of three-dimensional modeling; A second step of generating and outputting a performance prediction result according to the performance prediction simulation according to the modeled product according to the design variable output in the first step; And a third step of displaying the performance prediction result output in the second step to the outside for the designer to confirm. The method of claim 6, In the second step, the performance prediction result stored in the first process is compared with a first process in which the performance prediction result is stored, and when the design variable output in the first step is changed, the performance prediction result is generated according to the comparison pattern. A performance prediction method characterized in that it further comprises a second process.