JP2928527B2 - CAD system - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to a CAD system for producing and selling custom-made products. The present invention relates to a CAD system having a function that enables a user to grasp and determine a product specification.

(Prior art)

In recent years, instead of just commercializing a combination of standardized parts, it can also be called custom-made mass production that produces and sells products within a certain frame by combining some nonstandard parts according to customer orders A form of production is emerging. This is because customer requirements for products have evolved from diversification to individualization.

Until now, when developing an order-made product, the only way for a salesperson to hear the customer's wishes and draw a drawing of the expected finish was to confirm the request.

There is a CAD system that can be used for product development, but a conventional CAD system has been constructed for the purpose of designing a detailed structure or the like after a product image is set. This is to relieve the designer from routine tasks such as structural calculations. For this reason, it was not useful for creative work such as a customer solidifying a product image in a short time.

[Problems to be solved by the invention]

In recent years, customers have the following requirements when ordering products.

I want a product that is not owned by others and that suits my taste.

Not all are custom-made, but some want to incorporate their own requirements.

Until now, however, the only way for customers to communicate their requirements to salespeople was to use words and punch pictures.

On the other hand, from a salesperson's point of view, we want to have efficient business negotiations with customers and purchase them in a short time.

We cannot keep up with product diversification and product life cycle shortening. I want a tool to help me.

There was no answer to this request.

As mentioned above, in the conventional method, since the customer can not grasp the feeling of use of the product in advance, it is often frustrated to check the product after it is completed,
There was a problem that sales people also felt a great deal of difficulty in responding to the diversification of products.

Also, in order to realize a production system that can be made to order, it is necessary to change the production method in real time. To make this possible, it is necessary to evaluate a change plan of the production system by simulation and reflect the production system in real time in the logic of production management.

Conventionally, some computer simulations have been performed due to problems such as production planning, but in general, they are often executed with data that is too far from the actual data, and it was not a simulation that directly reflects on production. . Also, since the actual operation data is updated every moment, it was not possible to perform a simulation using the data.

[Means for solving the problem]

This is achieved by providing a means for customers to design not only the appearance and function of a product but also the usability of the product for the development of an order-made product.

At this time, it is difficult for the customer to understand and design the product design drawings, so in order for the customer to design the product himself, the product must be designed using the product image (image). It is effective to get it. In the present invention, the image data of the product and the environment in which the product is used is used to give the customer a sense of using the product, thereby assisting the customer in designing a shape and function that satisfies the customer. There is a characteristic in the CAD system to do.

The present invention is specifically realized by, for example, including the following means.

Customer preference input means Assists customers in inputting their own demands in non-quantitative expressions such as "slightly larger" or "slightly greenish blue".

 Product structure database The database that stores the basic structure data of products.

Product design support device When a customer designs a product based on external specifications or feeling of use, the related part is corrected for a partial correction,
Appropriate advice is output for parts that cannot be corrected.

Product Image Database Stores the appearance and interior of products in the form of images and images.

Image input device Inputs the customer's usage environment or customer's appearance in the form of an image or image.

Image information understanding device Constructs a model of the customer's use environment or customer's figure that is input.

Image compositing device Combines a product image with a use environment or a customer's appearance to create a customer product use image.

Synthetic image display device Displays the customer's product use image synthesized by the image synthesizing device.

Performance data storage system Stores historical data (facility / product / plan) of production facility operation results.

Production status simulator Simulates the production status under new production conditions based on data such as operation results.

[Action]

The customer decides the specifications of his product while interacting with the salesperson.

The product image database stores new product planning data (product images, drawings) from the product planning result database.

When a customer first inputs his or her preferences from a customer preference input device, the product design support device selects a product and its basic structure that match the customer's preference, and a product image (appearance / interior) corresponding to this structure. , Etc.) are displayed on the composite image display device extracted from the product image database. Customers,
If the user sees the displayed product image and is not satisfied, he or she inputs his / her wish in a normal language from the customer preference input device. The product design support device interprets the contents of the order requested by the patron in an ambiguous expression, determines whether this is possible, and if possible, composes a product image corresponding to the contents of the order with an image synthesis device. Then, the image is displayed on the composite image display device.

Once the customer is satisfied with the product image, he or she inputs the usage environment desired by the customer, the customer's appearance, and the like in the form of an image or an image from the image input device into the image database. The image database stores image data of a situation assumed as a use environment of the product in advance.

The image information understanding device configures a model of a customer's use environment or a customer's figure by using an input image stored in an image understanding rule base and a customer's use environment or a customer's figure stored in an image database.

Using these models, the image synthesizing apparatus synthesizes the product image with the usage environment or the customer's appearance to create a customer product usage image.

The customer evaluates the specification of the product by realizing the sight of using the ordered product in an environment that he or she knows or wants to use.

Once the customer has final consent for the product specification,
This product specification is sent to the factory and put on the production process.

In the production process, a production engineer changes production conditions and performs production simulation based on the data of the operation results database for broken product specifications, finds appropriate production conditions, and changes the production system. Create a production plan for the relevant product.

〔Example〕

 Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 2 shows an example of the configuration of a conventional system. 1000 is a salesperson workstation, 2000 is an image database, 1100 is an ordering system, 1500 is a CAD system, 4
500 is a production base system, 4000 is an order management system, 4100 is an order file, and 5000 is a communication line.

When a customer visits a sales outlet, the sales representative listens to the customer's request, retrieves the product image most suitable for the customer's request from the image database 2000 through the sales representative's workstation 1000, and sends it to the sales representative's workstation 1000.
Display and explore customer response.

When the customer finds the desired product, he or she then asks the customer for detailed preferences about the product, and when it is deemed possible to make the request within his or her own knowledge, draw the product image by hand to obtain customer satisfaction. Determine if you can.

When the customer decides on the final product specifications with his or her preferences, the sales person uses the ordering system 1100 to send the order information to the order management system 4000 at the production base 4500 via a communication line.
The order is sent through 5000, and the order management system 4000 stores the order data in the order file 4100.

FIG. 1 shows an embodiment of the present invention, which will be described below. Ten
0 is a customer preference input device, 120 is a product structure data base, 130 is a product selection rule base, 140 is a product design support device, 150 is a change specification determining device, 160 is a product image database, 170 Is a correction instruction base, 180 is an image input device, 200 is an image information understanding device, 220 is an image understanding rule base, 240 is an image understanding basic base, 260
Is an image synthesis device, 280 is a synthesized image display device, 300 is
Product design rule base, 320 is order product specification database, 340 is fuzzy expression rule base, 500 is controller, 3000 is new product planning base, 3100 is new product planning system, 3200 is new product image base, 3300
Is a new product design system, 3400 is a new product drawing base,
520 is a selection input device.

Among them, the controller 500, the product design support device 140, the change specification determining device 150, and the image information understanding device 200 can be realized by individual or common microprocessors or the like. In addition, product planning system 3100, new product design system 3300,
The same applies to the order management system 4000.

The customer decides the specifications of his product while interacting with the salesperson.

Workstations for sales representatives installed at dealers
In 1000, the new product image and the product selection rules stored in the new product image base 3200 from the new product planning system 3100 of the new product planning base 3000 in advance, and the new product drawing base from the new product design system 3300 The product drawing stored in 3400 is sent. The salesperson workstation 1000 stores these data in the product selection rule base 130, the product image database 160, and the product structure database 120, respectively.

The sales person first listens to the customer's preferences from the customer, and from the customer preference input device 100, "sports type",
When input in a non-quantitative expression of "large", the customer preference input device 100 refers to the fuzzy expression rule base 340,
The input contents are interpreted and the input contents are sent to the salesperson workstation 1000.

Workstation 1000 Controller for Sales Reps
500 receives the initial input and sends it to the design support device 140.

Based on the content sent from the customer preference input device 100, the product design support device 140 searches the product selection rule base 130 to determine a relevant product, and also determines the basic structure (drawing and related specification data) of this product. It reads from the product structure database 120 and sends the pieces to the controller 500. The controller 500 stores this data in the order product specification base 320. Next, the product design support device 140 extracts the appearance / interior of the corresponding product from the product image database 160 and displays it on the composite image display device 280 via the controller 500. At the same time, the controller 500 stores this product image in the order product specification base 320.

If the customer looks at the displayed image of the product and is not satisfied, the customer conveys his wishes to the sales representative in a qualitative expression such as "slightly larger" or "slightly greenish blue", and Reindicates this to the customer representative, and the sales representative inputs it again to the customer preference input device 100. For correction input of display product image based on customer preference,
The customer preference input device 100 interprets the contents of the order desired by the customer, input in an ambiguous expression, and sends it to the salesperson workstation 1000.

Workstation 1000 Controller for Sales Reps
Upon receiving the correction input, the 500 sends it to the design support apparatus 140.

Upon receiving the customer modification order content from the customer preference input device 100, the product design support device 140 reads the product specification stored in the order product specification base 320 via the controller 500, and individually checks the customer modification order content. Whether or not this is possible is determined using the product specification change rule of the product specification rule base 300, and if possible, the contents of the change are sent to the changed specification determination device 150 to determine the new specification of the product. Next, the product design supporting device 140
Send the new specification of this product to. The image synthesizing device 260 creates a product image corresponding to the new specification of the product, and displays this on the synthesized image display device 280 via the controller 500. At the same time, the controller 500 stores the new product specification / image in the order product specification 320.

When the contents of the customer order cannot be implemented in the light of the change rules, the product design support device 140 reads the correction instruction base 170 for the portion that cannot be corrected, and provides appropriate advice on the change via the controller 500 to the current instruction. Output to the image display device 280.

When the customer is satisfied with the displayed product image, the sales person in charge of the usage environment desired by the customer, the customer's appearance, and the like is displayed in the form of an image or an image.
, Input to the sales person's workstation 1000.

Workstation 1000 Controller for Sales Reps
500 receives this image input, and inputs this to the content image database 190 via the image information understanding device 200. The image database 190 stores in advance image data of articles that are assumed as a use environment of the product.

Example of operation flow of image information understanding device 200
Shown in the figure.

The image information understanding device 200 is a content image database 1
When receiving the input image to 90, this is stored in the image database 19
Stored in 0 (step 201). At the same time, the image information understanding device 200 reads the customer's use environment or the basic size and configuration of the customer's figure from the image understanding basic base 240 (step 202), and from the selection input device 520, reads the customer's input image. The dimensions of the object are selected from the selection menu and input (step 203). For example, in the case of a road, the user designates a road on the customer screen, and further selects a road (6
m, 4m, 3m, 2m). next,
Based on this information, a rule for estimating a customer model or a building model is read from the image understanding rule base 220 (step 204), and the input image stored in the content image database 190 is read out. The model is interpreted using the rules to construct the input model of the customer's use environment or customer (step 207), and this is stored in the model base 380 (step 208). If there is no information necessary for model creation, a request is made from the selection input device 520 to input necessary information to the customer (step 209).

The image synthesizing device 260 creates a product use image of the customer by combining the product image and the use environment or the customer's image using the model in the model base 380 and the product specification stored in the order product specification base 320, 500
Is displayed on the composite image display device 280 via the.

The customer evaluates the specification of the product by realizing the sight of using the ordered product in an environment that he or she knows or wants to use.

When the customer is satisfied with the product specifications displayed on the composite image display device 280, the sales person instructs the order product specification base 320.
Is transmitted to the production process management system 4000 in the production system 4500. Production process management system 40
00 stores this order data in the order file 4100 and places it in the production plan.

As described above, according to the present embodiment, a customer participates in product design (gets an impression as if he / she designed it).

Customers can design the appearance of the product, not the internal structure. Customers can design the feeling of use of the product.

Since the customer can express his / her demand in the form of an image, the time for negotiations (time for grasping the customer's request) can be shortened, and the efficiency of the salesperson can be improved.

It becomes possible.

FIG. 3 shows a configuration example of the customer preference input device 100, which will be described below.

111 is a customer preference inference device, 112 is a customer preference inference rule file, 113 is a membership function extraction device, 114
Is a membership function file, 115 is a membership function synthesizing device, 116 is a meta-rule file, 117 is a history file, and 118 is a customer file.

When the customer preference inference device 111 inputs the customer preference in a non-quantitative expression (for example, “sporty and small”),
The customer preference inference rule file 112 and the customer file 118 are read, and a corresponding preference selection pattern is searched.

FIG. 4 shows an example of the configuration of the customer preference inference rule file 112. For example, as a preference customer inference rule, if there is a rule for extracting factors that affect the preference from the customer characteristic information (FIG. 4), the age and occupation for a 40-year-old, 1000-year-old, free-working customer It is extracted as the main influencing factor.

The membership function extraction device 113 is a client preference inference device 1
When the main influencing factors and customer preferences (for example, "sporty / small") are received from 11, the men's ship function file 11
4 and reads out a plurality of corresponding membership functions (for example, age rank 4 and sporty, occupation rank 3 and sporty, occupation rank and small size, age rank 4 and small size), and sends them to the membership function synthesizing unit 115. send. The membership function synthesizing device 115 reads the synthesis rules of the plurality of membership functions from the meta-rule file 116 and creates a synthetic membership function (for example, age rank 4 and sporty and small, occupation rank 3 and sporty and small). Stored in the history file 117. At the same time, it outputs a composite membership function.

As described above, according to the present embodiment, the customer converts the preference contents, which have been expressed in an ambiguous manner, into specific preferences.

It is possible to select products that have a high probability of being applied to customer selection.

Since the customer can express his / her request in his / her own words, it is possible to shorten the time for negotiations (time for grasping the customer's request) and improve the efficiency of the salesperson.

It becomes possible.

FIG. 9 shows one configuration example of the production base system 4500,
This will be described below. 4510 is a production system, 4050 is a production consultation management system, 4300 is a performance data collection system 4310
, Is the actual equipment status data file, 4320 is the actual product data file, 4330 is the actual planned data file, 4400 is the actual data storage system, 4410 is the equipment history data file, 4420 is the product history data file,
4430 is a planning history data file, 4650 is a production plan change alternative creation device, 4600 is a production method simulator, 46
10 is a production simulation result status display device, 4700
Is a production change instruction creation support device, 4630 is an alternative file, and 4640 is a production management file.

The production management system 4050 manages and controls the production system 4510 by reading an order file 4100 storing order information from the sales person workstation 1000 and making a production plan.

The production plan change alternative creation device 4650, the production method simulator 4600, and the production change instruction creation support device can be constituted by individual or common microprocessors or the like.

The performance data collection system 4300, from the production system 4510 and the production management system 4050, equipment operation performance data,
The actual product data and the actual plan data are collected and stored in the equipment actual performance data file 4310, the product actual performance data file 4320, and the planned actual performance data file 4330, respectively. Performance data collection system 4300
This data collection / storage process is performed at regular time intervals.
Moreover, at the time of storage, the previously stored data is stored in a rewritten form. Therefore, the actual equipment status data file 43
10. The latest actual data is stored in the product actual performance data file 4320 and the planned actual performance data file 4330.

The performance data storage system 4400 is a performance data collection system 4400, and the performance data collection system 4300 is a facility status performance data file 4310 and a product status performance data file 43
20, in synchronization with storing the data in the plan actual status data file 4330, read these files and save the data in the equipment actual status data file 4310 to the equipment history data file 4310, the data in the product actual status data file 4320 Is copied to the product history data file 4320, and the data of the plan present status actual data file 4330 is copied to the plan history data file 4330. The equipment history data file 4310, the product history data file 4320, and the plan history data file 4330 are all time-series files, and accumulate actual data in time series.

Upon receiving a signal from the order management system 4000, the production plan change / alternative plan creation device 4650 reads the order file 4100 and the production management file 4640, and
Create a change proposal for the current equipment and its operating conditions,
Store it in the alternative plan file 4630.

The production method simulator 4600 reads out the production plan alternatives one by one from the alternative plan file 4630 and simultaneously reads the history information from each of the equipment history data file 4310, the product history data file 4320, and the plan history data file 4330, and is given. Simulates the situation of production equipment 4500 (how parts, work in process, and products flow in the factory) when adopting the modified alternatives (equipment conditions determined by production engineers), and the results Is displayed on the production status display device 4610 as a moving image. The production engineer sees this video, and if it is contrary to the intention, set another condition and input the change plan again from the controller to the production plan change plan creation device 4650 and simulate it. Change alternatives
A condition is selected and input to the production change instruction creation support device 4700. The production change instruction creation support device 4700 instructs the production management system 4050 and the generation system 4510 to immediately reflect the change.

In the above embodiment, “the performance data storage system 4400
At the same time that the performance data collection system 4300 stores data in the facility status performance data file 4310, the product status performance data file 4320, and the plan status performance data file 4330, these files are read and the facility status performance data file 4310 is read. Data to the equipment history data file 4310,
The data of the product actual status data file 4320 is stored in the product history data file 4320, and the planned actual status actual data file 4330
Data to the planning history data file 4330 "
However, the result data collection system 4300 stores data at regular intervals without synchronization. During that time, select an appropriate time zone and use the actual data storage system 44
It is also possible to configure so that 00 reads the equipment actual performance data file 4310, the product actual performance data file 4320, and the planned actual performance data file 4330. In the above example,
"The performance data storage system 4400 reads the equipment status data file 4310, the product status data file 4320, and the planned status data file 4330, and stores the data of the equipment status data file as the equipment history data file 4310.
The product status data file 4320 is converted to the product history data file 4320, and the planned status data file
4330 data is copied to the planning history data file 4330 in chronological order.
4310, the product history data file 4320, and the plan history data file 4330 are each provided with a database management system dedicated to time series, so that time series data can be handled by this database management system.

According to the present embodiment, a production engineer can evaluate a new production method based on actual data without performing trial production, and can respond to frequent changes in production methods such as order-made production.

FIG. 7 shows another configuration example of the customer preference input device 100. 101 is an image input device, 102 is a voice input device, 103
Is an image cutout identification device, 104 is a basic image file, 105 is an image identification rule file, 106 is a correction input device, 108 is an image correction device, 109 is an image correction rule,
1111 is a customer data file, 1112 is a customer preference identification device, 1113 is a commodity basic pattern file, 602 is a term determination rule base, 603 is a voice input recognition device, 604 is
The customer preference determination device 605 is a synthesis rule file.

The customer, from the image input 101 or the voice input device 102,
Enter your preferences. For example, the user inputs a punch picture drawn by himself from the image input device 101, or inputs from the voice input device 102 using words that are commonly used, such as “cool” and “smart”.

The image cutout / identification device 103 uses the image identification rule file 105 to identify the input image,
Further, the degree of approximation to the basic image is obtained by using the basic image file 104, and this is sent to the customer preference determining device 604. Also, the voice recognition device 603 recognizes the meaning of the input word,
This is sent to the customer preference identification device 1112.

The customer preference identification device 1112 reads customer information (age, annual income, occupation, etc.) from the customer data file 1111 and applies the input words and customer data to the rules in the term determination rule base 602, thereby Judge the meaning of words. For example, even if the word “cool” is used, IF (customer age = 40s) and (“cool”) Then
(External shape of registered trademark) IF (customer age = 20s) and ("cool") Then
(External shape of registered trademark).

The customer preference determining device 604 performs matching between the image feature and the voice feature sent from the customer preference identifying device 1112 using the synthesis rule file 605, and outputs the result.

The synthesis rule file 605 specifies a rule that suggests a specific product group based on a product shape based on a customer image input and a product feature based on a voice input, and a rule that gives priority to a different product group based on a customer image input. Consist of rules to do. For example, IF (customer age = 40's) and (image feature = approximation 5 to Silvia external shape, approximation 3 to registered trademark external shape) and (voice input feature = approximation 5 to Fairlady's speed function, The degree of approximation to the interior of the registered trademark is 4 and the degree of approximation to the shape of the sunny trunk is 3) Then (Applicable product = exterior shape and trunk of Silvia GLH, interior of the registered trademark) IF (customer age = 40s) and (image feature = External shape of Sylvia) and (voice input feature = external shape of Sunny) Then (applicable product = product with external shape of Silvia) The correction input device 106 displays the shape when the customer is dissatisfied with the presented shape If the user traces a desired shape on the screen, the information is acquired. The image correction device 108 reads the image correction rule file 109 for the traced shape, knows the correction method, and performs a correction process.

In the above embodiment, the customer inputs his / her preference by himself. However, the system asks a plurality of words such as "cool and cute" and asks the customer to answer. It can also be configured to grasp.

FIG. 8 shows still another configuration example of the customer preference input device 100. 701 is a selection input device, 1111 is a customer data file, 705 is a synthesis rule file, 703 is a synthesis pattern creation device, 702 is a customer preference correction rule file, 706
Is a display device, 708 is a correction selection file, 704 is a customer preference utility function file, 709 is a correction device, and 710 is a recognition device.

The composite pattern creation device 703 stores the customer data file 111
1 is read, and a preference utility function for each age and vehicle corresponding to the customer is read from the customer preference utility function file 704 according to the customer characteristics there, and the plurality of preference utility functions are synthesized. , The shapes in the basic image file 104 are geometrically combined to determine the shape and function of the optimal preference, and this is displayed on the display device 706.

Next, when the customer is not satisfied with the presented product shape,
When the customer inputs a correction signal from the selection input device 701, the recognition device 710 presents the word previously input by the customer and the correction term thereof to the selection input device 701 to correct the customer.

When the customer selects a correction term from the selection input device 701,
The recognizer 710 sends this to the corrector 709. Correction device 709
Reads the customer preference correction rule file 702, modifies the customer preference function by using it for synthesis, and sends a signal to the synthesis pattern creation device 703. The composite pattern creation device 703 composites a new product image using the corrected customer preference utility function.

The basic image file 104 has, for each term, a selection utility function for each customer characteristic / customer preference. According to this, the product shape is determined.

At the time of correction, the customer first inputs "sporty" or "luxury", but can select and input "more" or "another expression". When an additional expression such as "More" is made, the correction device 709 translates the selection utility function relating to the relevant characteristic by a certain amount, for example, in the direction of the arrow shown in FIG.

As described above, according to the present invention, a salesperson can obtain a candidate image without listening to the customer's request in advance, and can proceed with business negotiations on the basis of the candidate image. As a result, the hitting table is automatically corrected, so that the sales clerk can formulate a sales strategy based on the customer's attitude and the like, shorten the time required for sales, and perform effective sales.

There is an effect that.

〔The invention's effect〕

As described above, according to the present invention, there is an effect that it is possible to design and sell custom-made products desired by a customer in a short time.

[Brief description of the drawings]

FIG. 1 is a diagram showing one configuration example of the system of the present invention, FIG.
FIG. 3 is a diagram showing a configuration of a conventional system, FIG. 3 is a diagram showing an embodiment of a customer preference input device 100, FIG. 4 is a diagram showing an example of a configuration of a customer preference inference rule file 112, and FIG. FIG. 6 is a flowchart showing an example of the operation of the image information understanding device. FIG. 6 is a diagram showing an example of the configuration of the production base system 4500. FIG. 7 is a diagram showing another example of the configuration of the customer preference input device 100. FIG. 8 is a diagram showing still another configuration example of the customer preference input device 100, and FIG. 9 is a diagram showing one configuration example of the customer preference effect function file 704. Reference numeral 1000: Workstation for sales staff 2000: Image database 3000: Order receiving system 4500: Production base system 4000: Order management system 4100: Order file 5000: Communication line 100: Customer preference Input device 120: Product structure database 140: Product design support device 150: Change specification determination device 160: Product image database 170: Correction guidance base 180: Image input device 200: Image information understanding device 220 …… Image understanding rule base 240 …… Image understanding basic base 260 …… Image synthesis device 280 …… Synthetic image display device 300 …… Product design rule base 320 …… Order product specification database 340 …… Vague expression rule base 500 …… Controller 520… Selection input device 3000… New product planning base 3100 …… New product planning system 3200 …… New product image base 3300… New product design system 3400: New product drawing base 111: Customer preference inference device 112: Customer preference inference rule file 113: Membership function extraction device 114: Membership function file 115: Membership function synthesis device 116 …… Meta rule file 117 …… History file 118 …… Customer file 4050 …… Production management system 4300 …… Actual data collection system 4320 …… Product actual situation actual data file 4330 …… Plan actual situation actual data file 4400 …… Actual data accumulation System 4410 …… Equipment history data file 4420 …… Product history data file 4430 …… Planning history data file 4500 …… Production equipment 4510 …… Production system 4650 …… Production plan change alternative creation device 4600 …… Production method simulator 4610… … Production simulator result status display device 4700 …… Production change instruction creation support device 4630 …… Plan file 4640 …… Production management file 101 …… Image input device 102 …… Sound input device 103 …… Image extraction / identification device 104 …… Basic image file 105 …… Image identification rule file 106 …… Study input device 108… … Image correction device 109… Image correction rule 1111… Customer data file 1112… Customer preference identification device 1113… Product basic pattern file 602… Term determination rule base 603… Voice input recognition device 604… Customer preference determination Device 605 Synthesis rule file 701 Selection input device 603 Speech recognition device 705 Synthesis rule file 703 Synthesis pattern creation device 702 Customer preference correction rule file 706 Display device 709 Correction device 708 image correction device 704 function file for customer preference 710 recognition device

──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Tetsushi Tomizawa 6-23-15 Minamioi, Shinagawa-ku, Tokyo Inside the Omori Software Factory, Hitachi, Ltd. (72) Inventor Osamu Akita 6, Minamioi, Shinagawa-ku, Tokyo 23-15, Hitachi Omori Software Factory (72) Tetsuya Ushio 6-23 Minamioi, Shinagawa-ku, Tokyo 23-15, Hitachi Omori Software Factory (56) References JP2 -259962 (JP, A) JP-A-55-93808 (JP, A) JP-A-59-106069 (JP, A) Nagamachi, "Emotional Engineering", Journal of the Institute of Electronics, Information and Communication Engineers, March 1988, Vol. 71, No. 3 PP. 245-247 (58) Field surveyed (Int. Cl. ⁶ , DB name) G06F 17/50 G06F 9/44 JICST (JOIS)

Claims (1)

(57) [Claims] 1. An input means for inputting a request relating to a product in a non-quantitative expression, a means for forming an expression from the input means by a rule using a membership function, and the request based on the rule. A CAD system comprising: design support means for extracting a corresponding product image from an image database; and display means for displaying the extracted product image.