JP2017084224A - Design support device, program, and design support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a design support device, a program and a design support method capable of quickly creating a design plan including products without achievements in the past and presenting the same, for a new customer request.SOLUTION: A design support device 10 estimates a customer request for a target product using a customer request for a similar product in contrast with conventional simulation or a design support system using a product component information database, performs simulation using an analytic model capable of evaluating a request item in response to the estimated customer request, creates a product system design plan and makes the created system design plan associate with a design item.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a design support apparatus, a program, and a design support method for presenting a design proposal for a product system suitable for a customer's request.

  For the purpose of immediately obtaining simulation results under various conditions by accumulating the simulation results in a neural network and assisting in finding the optimum conditions, Patent Document 1 teaches a conventional simulator according to the present invention. Combine the capability of neural network, obtain the result of changing various simulation input conditions in advance, let the neural network learn the relationship between the input condition and simulation result, and use the interpolation function of neural network Techniques relating to simulation methods are described.

  In addition, regarding a production system for receiving an order for a product from a customer and manufacturing the product, in particular, a specification determination for achieving both the customer's request and the efficiency of the production system, and a build-to-order production system for performing production based on the specification, Patent Document 2 discloses an order receiving department , Means for inputting customer's required specifications, means for holding product design information, means for holding product production results, means for holding manufacturing department status data, and products using these information A technique is described that includes means for creating and presenting a plan and means for inputting an instruction to select a product to be purchased, and which can determine an order for the product. Here, the design information is generated by the design department and sent by the transmission means, and the status data of the manufacturing department is sent from the manufacturing department by the transmission means.

Japanese Patent Laid-Open No. 03-265064 JP 2002-312637 A

  In recent years, customer demands for goods and services have been diversified, and it has been required to design and provide products corresponding to them. In particular, in order-made products such as plant equipment and automobile parts, it is necessary to quickly present design plans that meet customer requirements, performance, cost, and delivery time in order to obtain orders. In other words, the rapid generation of various design plans that meet customer requirements is a necessary technology for manufacturing products that satisfy customer requirements.

  In the past, market research and customer interviews were conducted, and products were planned and designed based on the results. In addition, it is not uncommon to design products using the knowledge of experienced designers with extensive experience. However, in recent years, various simulation techniques and techniques for creating a database of design proposals have been studied in order to examine design proposals that reflect customer requirements and to shorten cost / delivery estimation periods.

  The above-mentioned Patent Document 1 is a technique for changing a simulator input condition, causing a neural network to learn a simulation result, and predicting a result for a new input condition. Shown to apply. However, this technique has a problem that since the simulation model is fixed, it is difficult to apply when the design variable increases or the range of the design variable changes greatly.

  Further, the above-mentioned Patent Document 2 shows that specification information relating to product parts information and functions is stored in a database, information on a product desired by a customer is extracted therefrom, and the price is presented to the customer. Yes. However, since this technology targets only information relating to existing products, there is a problem that it is not possible to deal with products that have not been studied in the past.

  An object of the present invention is to provide a design support apparatus, a program, and a design support method capable of quickly generating and presenting a design plan including a product that has not been used so far in response to a new customer request. It is.

In order to solve the above problems, for example, the configuration described in the claims is adopted.
The present invention includes a plurality of means for solving the above-described problems. For example, a design support apparatus for supporting the design of a product according to a customer's request, which is required by the customer. A customer request input unit for inputting a customer request, a visualization unit for displaying a product configuration plan of a product corresponding to the request input to the customer request input unit, and a new request from the customer stored in advance A customer requirement analysis unit that selects a product category, a simulation item, and a design item from the estimated estimation request, and obtains a device configuration according to the product category selected by the customer requirement analysis unit, and the simulation item A simulation unit that performs a simulation using an analysis model corresponding to the simulation model, a simulation result obtained by the simulation unit, and the A learning unit that creates the product configuration plan according to the customer request based on a device configuration and learns the relationship between the created product configuration plan and the design item selected by the customer request analysis unit It is characterized by that.

  According to the present invention, since a design plan can be generated in a short period of time for a new customer request, it becomes possible to design goods and services interactively with the customer, and quickly respond to various customer requests. The design plan can be shown.

It is a data flow figure which shows the structure of the design assistance apparatus of Example 1 of this invention. It is a data flow figure which shows the structure of one Example of the customer request database and customer request analysis part in the design support apparatus of Example 1. It is a data flow figure which shows the structure of one Example of an analysis model database and a simulation part in the design support apparatus of Example 1. FIG. It is a figure which shows the flowchart concerning the learning process of a customer request | requirement, a simulation result, and a product system design plan in the design assistance apparatus of Example 1. FIG. It is a figure which shows the flowchart concerning the analysis process of a customer request | requirement in the design assistance apparatus of Example 1. FIG. It is a data flow figure which shows the structure of the customer requirement database regarding a centrifugal compressor in the design assistance apparatus of Example 1, and a customer requirement analysis part. FIG. 5 is a diagram illustrating a flowchart according to a selection process of an analysis model and an analysis parameter in a simulation unit in the design support apparatus according to the first embodiment. It is a data flow figure which shows the analysis model database regarding a centrifugal compressor in the design support device of Example 1, and the composition of a simulation part. It is a figure which shows the flowchart concerning the process which shows the product system design proposal with respect to a customer request using the design support apparatus of Example 1. FIG. In the design support apparatus of Example 1, it is a customer request input screen when the target product is a centrifugal compressor. In the design support apparatus of Example 1, it is a visualization screen of product performance and a system design plan when the target product is a centrifugal compressor. It is a data flow figure showing the composition of one example of the design support device of Example 2. It is a data flow figure which shows the structure of one Example of the design assistance apparatus of Example 3. FIG.

  Embodiments of a design support apparatus, a program, and a design support method according to the present invention will be described below with reference to the drawings.

<Example 1>
A first embodiment of a design support apparatus, program, and design support method of the present invention will be described with reference to FIGS.

  First, the overall configuration of the design support apparatus will be described with reference to FIG. FIG. 1 shows the configuration of an embodiment of the design support apparatus according to the first embodiment.

  In FIG. 1, a design support apparatus 10 includes a customer request input unit 101, a product system design plan visualization unit 102, a customer request database 103, a customer request analysis unit 104, an analysis model database 105, a simulation unit 106, a device configuration database 107, learning. Unit 108 and customer request / design item replacement unit 109.

  The customer request input unit 101 is an interface such as an input screen displayed on a keyboard and a display for inputting a customer request requested by a customer such as product performance, cost, and delivery date. The input customer request is a customer request The data is sent to the database 103 and the customer request / design item replacement unit 109.

  The product system design plan visualization unit 102 is an interface such as a display for displaying the generated product system design plan (product configuration plan), and a product device corresponding to the request input to the customer request input unit 101 for the customer. Present the proposed configuration, performance, delivery date, and cost.

  In the customer request database 103, customer requests input from the customer request input unit 101 and customer requests for similar products are recorded and stored as needed. Therefore, many requests from various customers in the past are accumulated. These customer requests are transmitted to the customer request analysis unit 104 as needed.

  The customer request analysis unit 104 compares a plurality of customer requests transmitted from the customer request database 103 in a statistical and time series manner, and analyzes the frequency and trend for each item of the customer request. As a result of the analysis, the customer request that is regarded as important is estimated as an estimation request, and based on the estimation request, a product category and an item to be analyzed are extracted and transmitted to the simulation unit 106. Furthermore, priorities are transmitted to design items to be machine-learned to the learning unit 108, and an estimation request is transmitted. Details of the customer request analysis unit 104 will be described later with reference to FIG.

  The analysis model database 105 stores analysis models used in the past, and the analysis model corresponding to the product category and analysis item transmitted from the customer request analysis unit 104 is transmitted to the simulation unit 106.

  In the device configuration database 107, the mechanical characteristics of parts and components, such as the shape and dimensions, materials, and circuits, and the electrical characteristics thereof are registered. The device configuration database 107 corresponds to the product category transmitted from the customer request analysis unit 104. The device configuration is transmitted to the simulation unit 106.

  The simulation unit 106 is a computer for generating a model for simulation and executing simulation using the model. The simulation unit 106 generates an analysis model reflecting the analysis item transmitted from the customer request analysis unit 104 and the device configuration transmitted from the device configuration database 107 based on the analysis model transmitted from the analysis model database 105. Run the analysis. The obtained analysis result is transmitted to the learning unit 108 in combination with the device configuration. Details of the simulation unit 106 will be described later with reference to FIG.

  The request / design item replacement unit 109 replaces the customer request with a specific product design item. Here, although not shown in the figure, it is replaced with a design item by using a relational database of existing customer requirements and design items.

  The learning unit 108 creates a product system design plan by organizing the analysis results of the simulation transmitted from the simulation unit 106 and the relationship between the device configurations. The product system design proposal to be created is a design proposal for the entire product configuration including the shape and dimensions of the parts and units constituting the product and how to assemble them.

  Further, the learning unit 108 learns by associating the created product system design plan with the design item transmitted from the customer request analysis unit 104. Examples of the algorithm used in the learning unit 108 include a neural network, decision tree learning, association rule learning, genetic programming, support vector machine, and Bayesian network.

  Furthermore, when a customer request is input by the customer request input unit 101 when proposing a product system design proposal to a customer, the learning unit 108 determines design items and analysis results / equipment configuration (product system) that are known in advance from learning. The product system design plan corresponding to the design item replaced by the requirement / design item replacement unit 109 is selected based on the relationship with the design plan), and the selected product system design plan is output to the product system design plan visualization unit 102 To do.

  Next, the details of the customer request analysis unit 104 will be described below with reference to FIG. FIG. 2 is a diagram showing a detailed configuration of the customer request analysis unit 104 and the customer request database 103.

  In FIG. 2, a customer request analysis unit 104 includes a customer request estimation unit 201 and a design item / analysis item extraction unit 202. A customer request database 103 includes a customer request database 203 of the same product and a similar product. It consists of a customer request database 204.

  Here, “similarity” in the customer request analysis unit 104 and the customer request database 103 is, for example, that functions are similar between a centrifugal compressor and a screw compressor, and high vacuum is handled in an electron microscope and an etching apparatus. Define from multiple viewpoints, such as similar design items. Based on this definition, qualitatively list the presence or absence of similarity between products, or quantify the degree of similarity using a multidimensional scaling method, which is one of the multivariate analysis methods. deep.

  The customer request estimation unit 201 receives a customer request from a customer request database 203 that stores a customer request for the same product as a product requested by the customer, and a customer request database 204 for a similar product that stores a customer request for a similar product. The data is taken out, analyzed statistically and in time series, a new customer request is estimated, and transmitted to the design item / analysis item extraction unit 202.

  The design item / analysis item extraction unit 202 prioritizes and extracts categories of target products, items that need to be analyzed, and items that need to be learned based on the input new customer estimation request. . The extracted design items and estimation requests are transmitted to the learning unit 108, and the analysis items and product categories are transmitted to the analysis model selection unit 301 of the simulation unit 106.

  Next, details of the simulation unit 106 will be described below with reference to FIG. 3 including the relationship with related components. FIG. 3 is a diagram showing a detailed configuration of the simulation unit 106 and the analysis model database 105.

  In FIG. 3, the simulation unit 106 includes an analysis model selection unit 301, an analysis parameter range automatic generation unit 302, and a simulator 303. The analysis model database 105 includes an analysis model database 304 of the same product, a similar product, and the like. The analysis model database 305 of FIG. Similar definitions are the same as those in the description of FIG.

  The analysis model selection unit 301 selects an analysis model from the analysis model database 304 of the same product and the analysis model database 305 of similar products based on the analysis items transmitted from the design item / analysis item extraction unit 202. A model extracted from the analysis model database 304 of the same product or the analysis model database 305 of a similar product is a general calculation formula or the like, and shape dimensions and boundary conditions are undefined. The analysis model selection unit 301 reflects the device configuration by using the product category transmitted from the design item / analysis item extraction unit 202 and the device configuration extracted from the device configuration database 107. It replaces with the analysis model and transmits to the analysis parameter range automatic generation unit 302.

  The analysis parameter range automatic generation unit 302 generates a range of a plurality of parameters included in the analysis model and transmits it to the simulator 303.

  The simulator 303 executes analysis and transmits the result to the learning unit 108.

  Next, the operation | movement for every utilization phase of the design support apparatus 10 of a present Example is demonstrated.

  The design support apparatus shown in this embodiment has two use phases. The first phase is a learning phase in which device configurations and analysis models are selected and simulated based on customer requirements stored in the database, and the relationship between customer requirements and product system design proposals is learned. The second phase is a usage phase in which the product system design proposal is visualized based on the input customer request.

  First, the learning phase will be described below with reference to FIG. FIG. 4 is a flowchart of a learning phase for learning the relationship between the customer request and the product system design plan.

  A large flow of operations in the learning phase is as shown in the following steps S401 to S404 shown in FIG.

  Step S401: The customer request analysis unit 104 reads a customer request from the customer request database 103.

  Step S402: The customer request analysis unit 104 analyzes the customer request, and extracts the estimated new customer request, product category, analysis item, and design item. Details of the analysis in step S402 will be described later in detail with reference to FIG.

  Step S403: The simulation unit 106 performs analysis using the analysis item extracted in step S402 and the analysis model selected from the analysis model database 105. Details of the analysis in step S403 will be described later in detail with reference to FIG.

  Step S404: In accordance with the design items extracted by the customer request analysis unit 104, the learning unit 108 learns the relationship between the customer request, the analysis result, and the device configuration.

  Next, detailed processing for analyzing customer requests, product categories, analysis items, and design items in step S402 will be described with reference to FIGS. FIG. 5 is a flowchart showing a flow in which the customer request analysis unit 104 reads a customer request and extracts an estimation request, a design item, an analysis item, and a product category therefrom. FIG. 6 is a diagram showing the operation based on the flowchart shown in FIG. 5 using the data flow of the customer request database 103 and the customer request analysis unit 104 for the centrifugal compressor.

  Step S501: The customer request estimation unit 201 reads a customer request.

  When the product category requested by the customer is a centrifugal compressor, as shown in FIG. 6, the efficiency, performance, cost, and delivery date are read from the customer request database 203 of the centrifugal compressor as the same product, and the customer of the screw compressor as a similar product. The efficiency, performance, cost, delivery date, and corrosion resistance are read from the request database 204. The customer request database 203 for the same product and the customer request database 204 for similar products store a plurality of customer requests input from the customer request input unit 101, and sequentially read these requests.

  Here, for example, when the customer request is tabular data, quantitative data and qualitative data are read for each request item. In the case of text data, morphological analysis is performed, text mining such as word appearance frequency analysis is performed, and the data is replaced with tabular data for each request item.

  Step S502: The customer request estimation unit 201 performs statistical processing of the frequency of requests of the same type among the read customer requests and time-series analysis of the request timing. About this statistical process, the frequency | count is counted for every request | requirement item for multiple customers, and the probability distribution of the request | requirement for every item is calculated. For the time series analysis, a polynomial approximation or multiple regression analysis is performed on the request date, month, and year for a plurality of customer request items, and the future change in the number of requests is estimated.

  Step S503: The design item / analysis item extraction unit 202 extracts, from the result of the analysis in step S502, a customer request having a high request count and a high probability of being proposed, or a customer request whose number is increasing. Then, the higher one is estimated as a new customer request.

  For example, when the demand for corrosion resistance is increasing in a screw compressor that is a similar product shown in FIG. 6, the customer request estimation unit 201 estimates that the demand for corrosion resistance will occur in the future for the centrifugal compressor as well. Then, efficiency, performance, cost, delivery date, and corrosion resistance are transmitted from the customer request estimation unit 201 to the design item / analysis item extraction unit 202 as an estimation request of the centrifugal compressor.

  Step S504: The design item / analysis item extraction unit 202 outputs the extracted items to the learning unit 108 and the analysis model selection unit 301. The design item / analysis item extraction unit 202 outputs the corrosion resistance added as a new customer request to the learning unit 108 as an additional design item. Further, a corrosion analysis is extracted as an analysis item corresponding to the corrosion resistance, and transmitted to the analysis model selection unit 301.

  Next, processing for generating an analysis model and an analysis parameter range in step S403 will be described below with reference to FIGS. FIG. 7 is a flowchart illustrating a flow in which the simulation unit 106 reads analysis items and outputs analysis results. FIG. 8 is a diagram showing the operation based on the flowchart shown in FIG. 7 using the data flow of the analysis model database 105 and the simulation unit 106 for the centrifugal compressor.

  Step S701: The analysis model selection unit 301 reads the analysis item and product category extracted from the design item / analysis item extraction unit 202. Corrosion analysis is read as an analysis item, and a centrifugal compressor is read as a product category.

  Step S702: The analysis model selection unit 301 reads an analysis model corresponding to the corrosion analysis from the analysis model database 304 of the same product and the analysis model database 305 of a similar product.

  In FIG. 8, the corrosion analysis model is read from the analysis model database 305 because it is in the analysis model database 305 of similar products. The model includes, for example, a 1D model having a temperature T, a time t, a corrosion rate q, a solid material m, a fluid type s, and a corrosion depth C as an objective function. It is done.

  Step S703: The analysis model selection unit 301 outputs the generated corrosion analysis model to the analysis parameter range automatic generation unit 302.

  Step S704: The analysis parameter range automatic generation unit 302 sets an analysis parameter corresponding to the corrosion analysis model and the estimation request.

  Specifically, the analysis parameter range automatic generation unit 302 first selects, from the device configuration database 107, the material m for each component used in the device and the fluid type s with which the component contacts. From there, the corrosion rate q is determined by a function of the corrosion rate separately prepared. Next, from the customer's estimation request, the environmental temperature T at which the device is used and the number of years that the device has been used, that is, the time t are set.

  Step S705: The simulator 303 performs an analysis using the analysis model selected by the analysis model selection unit 301, the analysis parameter generated by the analysis parameter range automatic generation unit 302, and the range thereof. The simulator 303 calculates all combinations of parameter ranges.

  Step S706: The simulator 303 outputs the result of the executed analysis to the learning unit 108. In the case of corrosion analysis, the depth of corrosion at each temperature is applicable.

  Next, the usage phase will be described below with reference to FIGS. FIG. 9 is a flowchart of the use phase of the design support apparatus of the present invention for visualizing a product system design plan based on an input customer request. FIG. 10 is a diagram illustrating an example of a customer request input screen displayed on the customer request input unit 101. FIG. 11 is a screen displayed on the product system design plan visualization unit 102.

  A large flow of operations in the use phase is as shown in steps S901 to S904 shown in FIG.

  Step S901: A customer request input screen 1001 shown in FIG. 10 is displayed by the customer request input unit 101, and the user inputs a customer request. The customer request input screen 1001 includes a target product input unit 1002 and a required specification input unit 1003. A product category 1004 and a product name 1005 can be input to the target product input unit 1002. These can be selected from those displayed by pull-down buttons, or can be entered as text. The required specification input unit 1003 in FIG. 10 shows a screen in the case of a centrifugal compressor, but can be switched according to the target product. The required specification input unit 1003 can input efficiency 1006, pressure 1007, gas type 1008, temperature 1009, desired delivery date 1010, and budget 1011. In addition, when there is a request other than that, it can be entered in the other field 1012.

  Step S902: The input customer request is transmitted to the customer request / design item replacement unit 109, and the customer request is replaced with a design item. Next, the customer request / design item replacement unit 109 transmits the replaced design item to the learning unit 108, and the learning unit 108 searches for and selects a product system design plan corresponding to the customer request. In the learning unit 108, a customer request and a product system design plan are associated in advance using machine learning or the like, and a product system design plan can be instantly generated in response to the customer request. .

  Step S903: The product system design plan selected by the search in the learning unit 108 is displayed on the screen of the product system design plan visualization unit 102 shown in FIG.

  FIG. 11 shows a screen in the case of a centrifugal compressor, which can display a performance curve, specifications, and device configuration. The performance curve 1102 can be displayed as the performance curve, and the efficiency 1103, the flow rate count 1104, the pressure 1105, the critical speed 1106, the delivery date 1107, and the cost 1108 can be displayed as the specifications. In the device configuration, the device configuration and shape data 1109 can be shown.

  Step S904: The customer's reaction is checked to see if the displayed product system design proposal is convinced. If not, the process returns to step S901 to change the request. For example, if the designed performance is not sufficient for the required performance, the budget is increased. If the customer is satisfied, the usage phase process ends.

  Note that steps S401, S402, and S501 to S503 in FIGS. 4 and 5 described above correspond to the first procedure and the first step. Further, steps S402 and S503 to S504 in FIGS. 4 and 5 described above correspond to the second procedure / second step. Also, steps S403 and S701 to S706 in FIGS. 4 and 7 correspond to the third procedure and the third step. Further, step S404 in FIG. 4 described above corresponds to the fourth procedure / fourth step and the fifth procedure / fifth step. Further, step S901 in FIG. 9 described above corresponds to the sixth procedure and the sixth step. Further, steps S902 and 903 in FIG. 9 described above correspond to the seventh procedure and the seventh step.

  Next, the effect of the present embodiment will be described.

  In the first embodiment of the above-described design support apparatus, program, and design support method of the present invention, the design support apparatus 10 is a customer of similar products compared to the conventional simulation and the design support system using the product component information database. Estimate customer requirements for the target product using requirements, perform simulation using an analysis model that can evaluate requirement items according to the estimated customer requirements, create a product system design plan, and create the system design Associate a plan with a design item.

  As a result, a product system design plan that takes into account the requirements of any customer can be generated in advance. This eliminates the need to calculate the design plan after inputting the request even when there is a new request from the customer, and even for products with no track record of design or simulation so far, A system design proposal can be presented.

  In addition, when a customer request is input in the customer request input unit 101, the learning unit 108 selects a product system design plan corresponding to the input customer request from the product system design plans learned in advance. Then, by outputting the selected product system design plan to the product system design plan visualization unit 102, the product system design plan can be promptly presented to the customer.

  In the present embodiment, an example in which one product system design proposal corresponding to a customer request as shown in FIG. 11 is shown has been described. However, a plurality of design proposals are shown and priorities assigned to customer requests. Can also be displayed.

<Example 2>
A second embodiment of the design support apparatus, program, and design support method of the present invention will be described with reference to FIG. FIG. 12 shows the configuration of the design support apparatus according to the present embodiment.

  As shown in FIG. 12, the design support apparatus 10 </ b> A of the present embodiment collects and analyzes customer requests through a communication line 1202 connected to the Internet 1201 in the design support apparatus 10 of the first embodiment.

  In the present embodiment, the customer request analysis unit 104A, based on the customer request input to the customer request input unit 101 and the automatically collected information on the Internet 1201 that is publicly disclosed, Is analyzed and estimated.

  For example, the customer request analysis unit 104A collects public information such as writing on a website and questionnaire results. Then, potential customer requests are extracted and new customer requests are estimated.

  Configurations / operations other than the customer request analysis unit 104A and the Internet 1201 are substantially the same configurations / operations as the design support apparatus, program, and design support method of the first embodiment described above, and details thereof are omitted.

  Also in the second embodiment of the design support apparatus, program, and design support method of the present invention, substantially the same effect as the first embodiment of the design support apparatus, program, and design support method described above can be obtained.

  In addition, since customer requests can be collected more widely than the design support apparatus 10 of the first embodiment, more various customer requests can be estimated. Accordingly, product system design proposals corresponding to various customer requirements can be created in advance, and prompt responses can be made to various customer requirements.

<Example 3>
A third embodiment of the design support apparatus, program, and design support method of the present invention will be described with reference to FIG.

  A design support apparatus 10B according to the present embodiment shown in FIG. 13 is obtained by adding a performance database 1301 to the design support apparatus 10 according to the first embodiment. In addition, a customer request and product system design that have been proven in the past in the learning unit 108B. You will also learn about combinations of ideas.

  In the present embodiment, the learning unit 108B reads and learns the customer request / product system design plan stored in the result database 1301.

  The configurations and operations other than the learning unit 108B and the results database 1301 are substantially the same configurations and operations as the design support apparatus, program, and design support method of the first embodiment described above, and details are omitted.

  In the third embodiment of the design support apparatus, program, and design support method of the present invention, substantially the same effects as those of the first embodiment of the design support apparatus, program, and design support method described above can be obtained.

  In addition, according to the present embodiment, by learning a combination that has a proven record, it is possible to consider items that are difficult to obtain by simulation alone, such as preferences for each customer, and to estimate the design plan of the product that the customer wants The accuracy can be further increased.

<Others>
In addition, this invention is not limited to said Example, Various modifications are included. The above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of a certain embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of a certain embodiment. Moreover, it is also possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

  For example, in the above-described embodiment, the centrifugal compressor is described as a specific example of the product. However, the product targeted by the present invention is not limited to the centrifugal compressor, and various products are targeted. Needless to say, the product targeted by the present invention includes a large product constituted by a plurality of products such as “system”.

DESCRIPTION OF SYMBOLS 10, 10A, 10B ... Design support apparatus 101 ... Customer request input part 102 ... Product system design plan visualization part 103 ... Customer request database 104, 104A ... Customer request analysis part 105 ... Analysis model database 106 ... Simulation part 107 ... Equipment configuration database 108, 108B ... Learning unit 109 ... Customer request / design item replacement unit 201 ... Customer request estimation unit 202 ... Design item / analysis item extraction unit 203 ... Customer request database 204 for similar products ... Customer request database 301 for similar products ... Analysis Model selection unit 302 ... analysis parameter range automatic generation unit 303 ... simulator 304 ... analysis model database 305 of the same product ... analysis model database 1201 of similar products ... Internet 1202 ... communication line 1301 ... result database

Claims (9)

A design support device for supporting product design according to a customer's request,
A customer request input unit for inputting a customer request requested by a customer;
A visualization unit for displaying a product configuration proposal of a product according to a request input in the customer request input unit;
A customer request analysis unit that estimates a new request of the customer from a customer request stored in advance and selects a product category, a simulation item, and a design item from the estimated request;
Obtaining a device configuration according to the product category selected by the customer requirement analysis unit, a simulation unit that performs a simulation using an analysis model corresponding to the simulation item,
The product configuration plan corresponding to the customer request is created based on the simulation result obtained by the simulation unit and the device configuration, the created product configuration plan and the design item selected by the customer requirement analysis unit, A design support apparatus comprising a learning unit that learns the relationship between the two. The design support apparatus according to claim 1,
The customer request analysis unit analyzes the customer's new request based on automatically collected information on the Internet that is automatically collected in addition to the customer request input to the customer request input unit. Design support device characterized by The design support apparatus according to claim 1,
A performance database for storing the customer's past requests and product configuration proposals;
The design support device, wherein the learning unit also learns a relationship between the customer's past request provided from the performance database and the product configuration plan according to the request. The design support apparatus according to claim 1,
When the customer request is input in the customer request input unit, the learning unit selects a product configuration plan corresponding to the input customer request from the product configuration plan learned in advance, A design support apparatus that outputs the selected product configuration plan to the visualization unit. The design support apparatus according to claim 1,
A customer request database for storing a customer request for the product input to the customer request input unit and a customer request for a product similar to the input product;
The design support apparatus, wherein the customer requirement analysis unit estimates the new requirement based on a customer requirement of the product and a customer requirement of the similar product stored in the customer requirement database. The design support apparatus according to claim 1,
The design support apparatus further comprising an analysis model database for storing the product input to the customer request input unit and an analysis model of a product similar to the input product. The design support apparatus according to claim 1,
A device configuration database for storing the product input to the customer request input unit and a device configuration of a product similar to the input product;
The design support apparatus, wherein the simulation unit obtains a device configuration corresponding to the product category based on a device configuration stored in the device configuration database. A program to be executed by a design support device for supporting product design according to a customer's request,
A first procedure for estimating a new request of the customer based on a pre-stored customer request;
A second procedure for selecting a product category, a simulation item, and a design item from the estimation request estimated in the first procedure;
Obtaining a device configuration corresponding to the product category selected in the second procedure, and performing a simulation using an analysis model corresponding to the simulation item;
A fourth procedure for creating a product configuration plan based on the simulation result and the device configuration in the third procedure;
A fifth procedure for learning a relationship between the product configuration plan created in the fourth procedure and the design item selected in the second procedure;
A sixth procedure for displaying a customer request input screen for inputting a customer request required by the customer;
A seventh procedure for displaying a product configuration plan according to the request input in the sixth procedure based on the relationship between the product configuration plan learned in the fifth procedure and the design item; A program characterized by being executed. A design support method for supporting product design according to a customer's request,
A first step of estimating a new request of the customer based on a pre-stored customer request;
A second step of selecting a product category, a simulation item, and a design item from the estimation request estimated in the first step;
Obtaining a device configuration corresponding to the product category selected in the second step, and performing a simulation using an analysis model corresponding to the simulation item;
A fourth step of creating a product configuration plan based on the simulation result and the device configuration in the third step;
A fifth step of learning a relationship between the product configuration plan created in the fourth step and the design item selected in the second step;
A sixth step of inputting a customer request required by the customer;
And a seventh step of displaying a product configuration plan corresponding to the customer request input in the sixth step based on the relationship between the product configuration plan learned in the fifth step and the design item. Design support method characterized by

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