JP7455038B2 - Order processing method and order processing system - Google Patents

Description

The present invention relates to an order processing method and an order processing system between an order receiving server and a client for receiving an order for manufacturing using a 3D printer, and particularly relates to a technology for automating order processing.

In recent years, 3D printing has become widely popular, and anyone can now use CAD/CG software on a general-purpose computer to create 3D data and perform 3D printing. However, in order to manufacture products using 3D printing, users lack sufficient understanding and specialized knowledge of 3D printing.

In order to obtain the price and quality of a 3D printed product desired by the user, it is necessary to match the 3D data to the characteristics of the 3D printing, and as a step to implement this, skilled engineers must improve the shape reproducibility of 3D printing. It was necessary to repeat the process multiple times: evaluate the product, send the evaluation results to the user, and then calculate the price.

The following issues arise in this type of evaluation work: In other words, there will be variations in the quality of work done by engineers, it will take an extremely large number of man-hours to check 3D data, and the production volume of 3D printing products is expected to increase in the future, so there is a possibility that there will be a shortage of engineers. There is something, etc.

As a related prior art, Patent Document 1 describes a model forming system that easily, quickly, and inexpensively produces elaborate dolls (figures) that closely resemble a person or Buddhist statue desired by a customer, and that A model order/delivery management system is disclosed in which a model is photographed in a non-contact manner to obtain a three-dimensional image, the three-dimensional image signal is corrected and processed, and the model is formed according to the corrected and processed three-dimensional image signal.

Additionally, Patent Documents 2 to 4 disclose print order receiving systems that adjust and modify images. Patent Document 2 is a technique related to three-dimensional printing, and Patent Documents 3 and 4 are techniques related to two-dimensional printing.

Japanese Patent Application Publication No. 2003-200697 Japanese Patent Application Publication No. 2012-205002 Japanese Patent Application Publication No. 2010-079405 Japanese Patent Application Publication No. 2006-270188

In the above conventional technology, although it is described that a three-dimensional image, etc. is modified and processed to create a model, the system automatically extracts and displays problem areas, and the user can make corrections while looking at them. No technology has been disclosed.

The present invention was created in view of the problems of the prior art described above, and it automates the evaluation of data for 3D printers sent by users based on predetermined check rules, and also improves the reproduction rate of modeling and manufacturing. The purpose is to provide technology related to order processing that can calculate the amount related to.

In order to solve the above problems, the present invention provides the following order processing method and system.
That is, according to the first embodiment of the present invention, there is provided an order processing method between an order receiving server and a client for receiving an order for manufacturing using a 3D printer, in which a data transmission unit of the client receives original data to be printed. A source data sending step in which the data receiving section of the order receiving server sends the original data, a source data receiving step in which the data receiving section of the order receiving server receives the original data, and a check point extraction processing section of the order receiving server refers to the predetermined check rule data and In the check points extraction step, the 3D image data generation unit of the order receiving server generates 3D image data showing the extracted check points on the image so that they can be identified, and sends the extracted check points to the client. 3D image data transmission step, where the client's image display section receives the 3D image data and displays it to the user.3D image data display step: If a check-required location is extracted, the client's data transmission section , a corrected data sending step in which the corrected data is sent, a corrected data receiving step in which the data receiving unit of the order receiving server receives the corrected data, an order processing unit of the client receives input from the user, and transmits the corrected data to the order receiving server. An order processing method is provided, which includes an order processing step in which an order signal is transmitted, and an order processing step in which an order reception server processes the order based on the order signal.

According to the second embodiment, the inspection processing unit of the order receiving server may include a shape state inspection step for inspecting whether the size or number of parts that can be ordered is satisfied before the above-mentioned step of extracting parts to be checked. good.

According to the third embodiment, the inspection processing section of the order receiving server may include a modeling specification inspection step for inspecting whether or not the data is printable before the above-mentioned checking point extraction step.

According to the fourth embodiment, in the above-mentioned check point extraction step, the check rule data defines the conditions for the wall thickness of the manufactured object, and the check point extraction processing section extracts the wall thickness. The configuration may be such that check-required locations that do not satisfy the conditions are extracted.

According to the fifth embodiment, in the above checking point extraction step, the check rule data defines as a condition a closed space that remains inside after the periphery of the manufactured object is formed, and The check point extraction processing section may be configured to extract closed spaces.

According to the sixth embodiment, in the above checking point extraction step, the check rule data defines the distance between a plurality of parts constituting the manufactured object as a condition, and the checking point extraction step The processing unit may be configured to extract the closed space.

According to the seventh embodiment, in the above-described 3D image data transmission step, the 3D image data generation section can also generate 3D image data in which the extracted object at the check point is colored in a predetermined manner.

According to the eighth embodiment, after the above-mentioned 3D image data transmission step, the modeling reproduction rate calculation unit of the server device calculates how faithfully the original data is reproduced using a predetermined calculation formula based on the points to be checked. A configuration may also be adopted in which a modeling reproduction rate indicating whether or not the printing is done is calculated and transmitted to the above-mentioned client device, and the image display section of the client displays the modeling reproduction rate.

According to the ninth embodiment, before the above-described order processing step, the amount calculation unit of the server device can calculate the amount of money for receiving the manufacturing order using a predetermined calculation formula.

The present invention can also be provided as an order processing system comprising the above order server that executes the above order processing method and the above client.

Further, it may be provided as an order receiving server that executes the above order processing method.

According to the present invention, a technology related to order processing is capable of automating the evaluation of data for a 3D printer sent from a user based on predetermined check rules, as well as calculating the reproduction rate of modeling and the amount of money involved in manufacturing. can be provided.

In particular, a computer system automatically performs price calculation and shape reproducibility confirmation of 3D printing of 3D data without the help of engineers, allowing users to easily and quickly receive evaluation results and price responses for 3D data. can be obtained.

1 is an overall diagram of a 3D printing order processing system according to the present invention. FIG. 2 is a configuration diagram of a client according to the present invention. FIG. 2 is a configuration diagram of an order receiving server according to the present invention. 3 is a flowchart of an order processing method according to the present invention. It is a flowchart of the inspection process in the order processing method according to the present invention. It is a flowchart of extracting points to be checked in the order processing method according to the present invention. FIG. 3 is an explanatory diagram of an order processing screen according to the present invention. This is an example of output of convex thin wall check results. This is an example of the output of the concave thin wall check results. This is an example of output of closed space check results. This is an example of the output of the distance check results between parts. This is an example of output for amount calculation.

Embodiments of the present invention will be described below with reference to the drawings. The present invention is not limited to the following examples, but can be practiced as appropriate within the scope of the claims.
FIG. 1 is an overall diagram of an order processing system (1) according to the present invention. The client (2), web server (3), order receiving server (4), etc. that constitute this system can be implemented by a known personal computer or server device. Client (2) can also be used on a tablet or smartphone.

In the present invention, the Web server (3) is a known server that provides Web services to the client (2) via the network (5), but in the present invention, the Web server (3) and the order receiving server (4) are It may be configured as a single unit.

Further, an external storage device (6) is connected to the order receiving server (4), and the check rules according to the present invention are stored in the external storage device (6). The order server (4) and the external storage device (6) may be directly connected or may be connected via a network line.
The client (2), web server (3), and order server (4) can be equipped with a CPU, memory, hard disk, SSD, network adapter, etc., but since the details of these devices are well known, we will not explain them here. Omitted.

A 3D printer (7) connected to the order receiving server (4) directly or via a network is a device that 3D prints a molded object ordered by the order processing method according to the present invention. Although various manufacturing methods such as a powder method, a stereolithography method, and a fused deposition modeling method are known, the 3D printing method in the present invention is arbitrary and is not limited. The order processing method of the present invention can be applied even to 3D printing using an unknown or currently uncommon method.

FIG. 2 is a configuration diagram of a client (2) according to the present invention, and FIG. 3 is a configuration diagram of an order receiving server (4). Further, FIG. 4 is a flowchart of an order processing method according to the present invention.
The client (2) includes a CPU (20), a network adapter (24), a monitor (25), a keyboard (26), and the like. The processing section by the CPU (20) can include a data transmission section (21), an image display section (22), and an order processing section (23).

The order receiving server (4) includes a CPU (40), a network adapter (47), an external storage device (6) storing check rules, and the like.
Processing units by the CPU (40) include a data receiving unit (41), an inspection processing unit (42), a check point extraction processing unit (43), a 3D image data generation unit (44), and a modeling reproduction rate calculation unit (45). , an amount calculation unit (46).

Using such a configuration, the following order processing method is executed.
First, the client (2) uses a known 3D data creation application to create original data to be 3D printed (step S01).
The data transmitter (21) of the client (2) transmits original data to be printed via the network adapter (24) and the network line (step S02).

The data receiving unit (41) of the order receiving server (4) receives the original data (step S03). At this time, the user interface of the web server (3) can be used to send and receive the original data.

Although not essential in the present invention, it is preferable that the inspection processing section (42) performs the shape state inspection step (step S04) and the modeling regulation inspection step (S05). These will be described later, but the inspection processing unit (42) determines whether the STL file received as original data meets the format requirements (image format compatibility) and the size and number of parts that are compatible with the manufacturing service to be provided. Inspection processing is performed to check whether the STL file exists and whether the STL file is data that can be used for 3D printing.

Next, the check-required point extraction processing unit (43) refers to predetermined check rule data (6) and extracts check-required points that should be checked during manufacturing in the original data. (Step S06).

In the present invention, the check rule (6) may be a rule manually defined in advance, or may be learning data automatically acquired by machine learning. Points that need to be checked include, for example, depending on the characteristics of the 3D printer (7) used for manufacturing and the materials used, the conditions regarding the wall thickness of the model, the presence or absence of a closed space surrounded by the model material, and the parts after the model has been modeled. Automatically check distance conditions etc.

After the points to be checked are extracted (S06), corrections may be made by giving feedback to the user immediately, but in this embodiment, the modeling reproduction rate calculation unit (45) performs a predetermined calculation based on the points to be checked. A modeling reproduction rate indicating how faithfully the original data is reproduced is calculated using the formula (step S07).
The predetermined calculation formula for calculating the modeling reproduction rate and the parameters used therein can also be stored in the external storage device (6).

Furthermore, the amount calculation unit (46) calculates the amount of money for receiving the manufacturing order using a predetermined calculation formula (step S08). A predetermined calculation formula for calculating this amount and parameters used therein can also be stored in the external storage device (6).

Along with the calculation results of the modeling reproduction rate and the amount, the 3D image data generation unit (44) generates 3D image data showing the extracted check points on the image in an identifiable manner, and sends it to the client (step S09). A well-known modeling method can be applied to the method of generating 3D image data, and in the present invention, 3D image data is generated by adding a display in an identifiable manner, such as by coloring the points that need to be checked.

The image display unit (22) of the client (2) receives the 3D image data and displays it to the user on the monitor (25) (step S10).
The user uses input means such as the keyboard (26) and mouse to create corrected data by correcting the original data while referring to the displayed areas to be checked and modeling reproduction rate, and then receives the order from the data transmitter (21). The modified data is sent to the server (4) (S13).

When the data receiving unit (41) of the order receiving server (4) receives the correction data (step S14), the data receiving unit (41) of the order receiving server (4) receives the correction data again (step S14), and then returns to the inspection processing unit (42), the checking point extraction processing unit (43), and the modeling reproduction rate calculation unit (45). , the amount calculation unit (46), etc. performs various processes.

After displaying the 3D image data (S10), if a manufacturing order is to be placed based on the content, the order processing unit (23) processes the order (Step S11). For example, the ordering process can be performed by pressing an ordering button placed on the display screen on the monitor (25) of the client (2).
After receiving an order, the order receiving server (4) can perform various order processing (S12).

In the order acceptance process (S12), the fact that the order has been accepted may be stored in an external storage device or transmitted to another server via a network. Furthermore, data for 3D printing that has been ordered may be stored or transmitted. Alternatively, the 3D printer (7) may be instructed to output.

In this way, the present invention automatically displays the points that need to be checked in an identifiable manner, and at the same time allows the user to modify the data while referring to the modeling reproduction rate and price, thereby ensuring that the manufacturing process meets the user's wishes. orders can be placed.

FIG. 5 is a flowchart of the inspection process in the order processing method according to the present invention.
These inspections are executed in the inspection processing section (42) of the order receiving server (4). In addition, when provided separately from the Web server (3), part of the format check, such as checking whether the extension is STL, may be performed in the Web server (3).

In the shape state inspection step (S04), the following two points are mainly inspected. The first step is to check the data file format.This does not simply mean that the extension is STL, but rather that there are no inconsistencies in the header description information within the file to confirm that it is an STL file format. . The reason for conducting such inspections is that there are many data uploads that are considered to be cyber attacks, where only the extension is changed to STL, and it is also a countermeasure against this.

Additionally, some STL files output from various CAD and CG applications do not follow the proper etiquette for the STL format, so this processing is necessary to maintain print quality.
What is different from the checking point extraction process in the present invention is that the shape state inspection step (S04) is a formal inspection to confirm the validity as image data, and is not for evaluating the result of manufacturing using a 3D printer. It is. In other words, it is formally checked whether it can be processed as a stereoscopic image.

In the shape state inspection step (S04), it is also checked whether the size of the molded product that can be molded and the number of parts are compatible with the specifications of the manufacturing service to be provided. Since the present invention is an order processing method, it is necessary to check whether the conditions regarding size and number of parts are met, which are determined by various factors such as the specifications of the 3D printer (7) used, sizes that can be sent, and restrictions on order fees. confirm.

If there is no problem in the shape state inspection result, the process proceeds to the next modeling regulation check, and if there is a problem, the process skips to modeling reproduction rate calculation (S07). Note that if the shape state inspection is NG, the order cannot be accepted in principle, so the result of not being able to accept the order may be immediately sent to the client (2).

In the modeling specification inspection step (S05), it is confirmed whether the received original data (STL file) can be used for 3D printing. In the initial modeling regulation check step 1 (S51), it is confirmed that the surfaces are not reversed, that the surfaces are not separated, and that they are solid.

When converting an STL file into print data for 3D printing, the standard shape is automatically modified (S52) even in conventional applications. If the standard shape cannot be completely modified, the shape is modified with the user's involvement in a severe shape modification step (S54). After these correction processes, if the problem is resolved, the process goes through the second step of checking the modeling regulations (S53) again, and then proceeds to the next step of extracting the necessary check points (S06).
If the problem is not resolved, the process either skips to the modeling reproduction rate calculation step (S07) or sends the result that the order cannot be accepted to the client (2).

FIG. 6 is a flowchart for extracting points to be checked in the order processing method according to the present invention. This checking point extraction process is also a feature of the present invention.
First, in the unevenness thin wall checking step (S61), the check-required portion extraction processing section (43) refers to the check rules and extracts portions of the modeled object whose wall thickness is less than a specified thickness. The check rules define the conditions for the thickness of the model to be manufactured, and these conditions include the specifications of the 3D printer (7) used (printing limits, printing speed settings), and the selected Material can also be included as a parameter.

That is, when the user selects and transmits the molding method and material when transmitting the original data, this is used as a parameter to check against the check rule and against the wall thickness condition. Conventionally, there has been a known technology for simply displaying thinness under certain conditions for 3D printers, but the present invention has the advantage that it is possible to extract areas that need to be checked according to these conditions as part of order processing. Extraction accuracy is improved.

As conditions for thinness, it is possible to extract thinness on a concave surface and thinness on a convex surface, respectively, and the conditions may be changed depending on whether the surface is concave or convex. If there is no error in the uneven and thin wall checking step (S61), the process proceeds to the closed space checking step (S62).

In the closed space check step (S63), the modeling material is trapped in the closed space whose surroundings have been shaped by sintering or the like but has not been shaped, and the remaining portion in a liquid or powder state is extracted. If a closed space is discovered, it is considered an error because the material may leak out if the closed space is breached.

Furthermore, although not shown in the figure, the check-required-part extraction processing unit (43) can extract the parts when the distances between the plurality of parts constituting the manufactured object do not meet the conditions. For data consisting of multiple parts, if the distance between parts is too close, defects such as parts joining or deforming will occur due to the influence of heat during printing, so errors may occur if parts are too close to each other. shall be.

The check rules used in such check point extraction processing can be manually defined in advance based on the experience of a skilled engineer.
Alternatively, a known machine learning process may be introduced, the original data and feedback of the manufactured modeling results are input as learning data, and points to be checked may be extracted based on the learning results. For example, by inputting the thickness of the original data and the evaluation (success, failure, or evaluation value) of the modeling result as learning data, it is possible to obtain the learning result without relying on experience values.

As a result of the extraction in the check point extraction processing section (43), the present invention generates 3D image data in which the check point is clearly shown on the image. Any method of display that can be identified may be used, such as extending a leader line from the relevant part or displaying text near the relevant part, but it is intuitive that objects in particular areas that need to be checked are colored in a predetermined color. It is easy to understand and suitable.

A detailed explanation will be given below using an example of a screen of the order processing system (1).
FIG. 7 is an explanatory diagram of the order processing screen (10) displayed on the monitor (25) of the client (2). 3D image data (100) generated by a 3D image data generation section (44) is displayed on the screen. The body shape (102) is displayed in green as the base color inside the outer shape boundary line (101).

Points to be checked in the main body shape (102) are displayed in a color different from the base color. This is output by the unevenness thin wall check result model output step (S63), the closed space shape model output step (S64), etc.

FIG. 8 is an example of output of the convex thin wall check result. On the convex surface, if the modeling reproduction thickness is less than the minimum thickness, for example 0.8 mm, the thick portion (103) is displayed in red. At the same time, by displaying the number of surfaces (104) that is less than the minimum thickness (convex surface) on the entire screen, it is possible to prevent minute parts from being overlooked.

FIG. 9 is an example of the output of the concave thin wall check result. On the concave surface, when the width of the groove shape is, for example, 0.8 mm or less, the side surfaces (105) of the groove are displayed in blue. At the same time, by displaying the number of side surfaces (106) with less than the minimum wall thickness (concave surface) on the entire screen, it is possible to prevent minute parts from being overlooked.

FIG. 10 is an example of the output of the closed space check result in the closed space shape model output step (S64). The surfaces constituting the extracted closed space (107) are displayed in pink. At the same time, by displaying the number of surfaces (108) constituting the closed space on the entire screen, it is possible to prevent minute parts from being overlooked.

FIG. 11 is an example of the output of the inter-part distance check result by the check point extraction processing unit (43). When there is a possibility that a defect such as parts joining or deforming occurs, a surface (109) where parts are close to each other is displayed in light blue.

As shown in the flowcharts of FIGS. 4 and 6, in the present invention, the modeling reproduction rate calculation unit (45) of the order receiving server (4) calculates the modeling reproduction rate (S07), and the amount calculation unit (46) calculates the order amount. It can be calculated (S08).

The modeling reproduction rate calculation step (S07) can calculate the modeling reproduction rate, which indicates how faithfully the original data is reproduced, using a predetermined calculation formula based on the result of the checking point extraction process. For example, the modeling reproduction rate may be the ratio of the number of surfaces that are not extracted as check points to the number of entire surfaces.

Alternatively, the area ratio between the display area of the base color displayed in green and the colored area may be used as the modeling reproduction rate. Weighting is performed according to the content, and errors related to wall thickness are defined as weight 10, errors related to closed acid spaces are weighted 100, and errors in distance checking between parts are weighted 5, and so on.These weights are applied to the number of surfaces and area. May be multiplied.

The modeling reproduction rate is displayed as a percentage (110) on the right side of the order processing screen (10). By displaying the percentage in this way, the user can intuitively grasp how faithfully the original data is reflected in the modeling, and at the same time serves as an index for determining the necessity of correction. For example, if 95% is displayed and the parts colored at the same time are not important parts, you can decide to order as is. In this way, displaying the modeling reproduction rate and displaying check-required locations in an identifiable manner have a synergistic effect.

The modeling reproduction rate does not have to be expressed as a percentage; for example, it may be displayed in 10 steps or in ranks such as A, B, C, D, and E.

The modeling reproduction rate may be calculated using a predetermined calculation formula stored in, for example, the external storage device (6) as described above, or may be calculated by machine learning. In other words, it is also possible to input the original data, the extraction results of check points, and the evaluation of the modeled object as learning data, and perform calculations according to the learning results.

If no closed space is allowed, the modeling reproduction rate (110) can be displayed as 0% as shown in FIG. 10. If the modeling reproduction rate is below a predetermined threshold value, the ordering button may not be pressed.

FIG. 12 is an example of the output of amount calculation. In the price calculation step (S08), the price for the manufacturing order is calculated using a predetermined formula according to the size of the object, amount of materials used, manufacturing time, etc., and the price is displayed on the order processing screen (10). 111) Do.

A configuration that automatically displays the order amount has been known in the past, but in the present invention, it is displayed at the same time as the 3D image data display (S10), so the modeling reproduction rate (110) and information on areas that need to be checked can be comprehensively displayed. It is possible to judge whether or not to perform the ordering process (S11) by considering the above. Therefore, the user can place an order with a sufficient understanding of the price, recall rate, etc., which contributes to improving satisfaction and preventing problems when accepting orders.

An additional comment will be made regarding the function of the order processing screen (10) in this embodiment.
First, it has a transparent display/non-transparent display switching function (112). By making the surface of the model transparent, you can check the evaluation results added to the interior of the model and the surface on the opposite side of the wall. Although many 3D viewers do not have a transparent display function, the transparent/non-transparent display switching function (112) makes it possible to grasp the internal shape of the model.

With this function, you can quickly grasp the internal shape and areas that need to be checked by adding them to the opposite side of the wall.
On the other hand, due to the transparent display, the colors of the evaluation result surfaces may overlap, making it difficult to see the evaluation results. Therefore, the user can arbitrarily switch between transparent and non-transparent display to quickly and accurately understand the evaluation results.

Next, it has a focus function. Each time the magnifying glass icon (113) is clicked on the modeling reproducibility extraction location, the extraction location is focused. The user can understand the evaluation results without relying on the color of the surface to look for areas that need checking.

Next, it has a cross-section display function. It is possible to display the cross-sectional shape of a 3D model cut along a plane with the XYZ axes as normal lines.

With the above-described configuration, the present invention can systemize and automate the work that conventionally depended on engineers. By quantifying and systematizing the know-how of engineers in evaluation, it is possible to equalize work quality, reduce the number of engineers' work hours, and eliminate the shortage of engineers. Furthermore, the user can perform multiple confirmations in a short time regardless of time or place.

There are multiple evaluation items for shape reproducibility in printing, and although CAD/CG software that has the function to evaluate these items has existed, it is a function for each individual evaluation item, and it is difficult for engineers to know-how is required. Therefore, it has been difficult for users to adequately evaluate the shape reproducibility of 3D printing.
This system can automatically evaluate multiple evaluation items simultaneously using the know-how of engineers and provide answers to users.

By numerically setting the characteristics of 3D printing for this system, we can adjust the level of shape reproducibility to the quality required by the market and industry by quantifying the characteristics of each product type, size, etc. This can also be accumulated as know-how on the system provider side, contributing to increased added value.

By checking the evaluation results in a 3D image, the user can easily understand the evaluation points and their contents. The user does not need special knowledge about 3D printing and can confirm the shape reproducibility of 3D printing of 3D data. This system is built as a web system and provides users with everything from requesting an evaluation to displaying responses using a web browser, providing highly convenient services regardless of the user's PC environment.

1 Order processing system 2 Client 20 CPU
21 Data transmission section 22 Image display section 23 Order processing section 24 Network adapter 25 Monitor 26 Keyboard 3 Web server 4 Order reception server 41 Data reception section 42 Inspection processing section 43 Check points extraction processing section 44 3D image data generation section 45 Modeling reproduction rate Calculation unit 46 Amount calculation unit 47 Network adapter 5 Network 6 External storage device 7 3D printer 10 Order processing screen 100 3D image data 101 External boundary line 102 Body shape 103 Convex thin wall 104 Number of convex thin wall surfaces 105 Concave thin wall 106 Number of concave thin wall surfaces 107 Closed space 108 Number of surfaces in closed space 109 Proximal surfaces between parts 110 Modeling reproduction rate 111 Manufacturing amount

Claims (11)

An order processing method between an order server and a client for receiving an order for manufacturing using a 3D printer, the method comprising:
an original data sending step in which the data sending unit of the client sends original data to be printed;
an original data receiving step in which the data receiving unit of the order receiving server receives the original data;
a check point extraction step in which the check point extraction processing unit of the order receiving server refers to predetermined check rule data and extracts check point points that should be checked during manufacturing in the source data;
a 3D image data transmission step in which the 3D image data generation unit of the order receiving server generates 3D image data showing the extracted check-required portion on the image in an identifiable manner, and transmits the generated 3D image data to the client;
A 3D image data display step in which the image display unit of the client receives the 3D image data and displays it to the user; When the check-required location is extracted, the data transmission unit of the client displays the revised data. a modified data sending step for sending data;
a modified data receiving step in which the data receiving unit of the order receiving server receives the modified data;
an ordering processing step in which the ordering processing unit of the client receives input from the user and transmits an ordering signal to the ordering server;
an order processing step in which the order receiving server processes the order based on the order signal;
has
The 3D image data generation unit generates 3D image data in which the extracted object at the check-required location is colored in a predetermined manner, and
The modeling reproduction rate calculation unit of the order receiving server calculates the modeling reproduction rate indicating how faithfully the original data is reproduced using a predetermined calculation formula based on the check-required parts and sends it to the client. ,
An order processing method characterized in that an image display unit of the client displays the modeling reproduction rate. Before the above-mentioned check points extraction step,
2. The order processing method according to claim 1, further comprising a shape state inspection step in which the inspection processing unit of the order server inspects whether the size or number of parts that can be ordered is satisfied. Before the above-mentioned check points extraction step,
3. The order processing method according to claim 1, wherein the inspection processing section of the order receiving server includes a modeling regulation inspection step of inspecting whether or not the data is printable. In the step of extracting points to be checked,
The check rule data defines conditions for the thickness of the modeled object to be manufactured,
The order processing method according to any one of claims 1 to 3, wherein the check-required location extraction processing unit extracts check-required locations that do not satisfy a wall thickness condition. In the step of extracting points to be checked,
The check rule data defines, as a condition, a closed space that remains inside after the periphery of the modeled object to be manufactured,
The order processing method according to any one of claims 1 to 4, wherein the check point extraction processing section extracts the closed space. In the step of extracting points to be checked,
The check rule data defines a distance between a plurality of parts constituting a manufactured object as a condition,
The order processing method according to claim 5 , wherein the check point extraction processing unit extracts the closed space. The 3D image data generation unit colors the extracted object at the check-required part in a predetermined color, and colors other body parts with a base color,
The order processing method according to any one of claims 1 to 6, wherein the modeling reproduction rate is an area ratio between a base color display area and a colored area. The modeling reproduction rate is calculated by multiplying the area of the colored region by weighting according to the content of the check-required portion.
The order processing method according to claim 7. Prior to the order processing step,
The order processing method according to any one of claims 1 to 7, wherein the amount calculating unit of the order receiving server calculates the amount of money for receiving the manufacturing order using a predetermined calculation formula. An order processing system comprising the order receiving server that executes the order processing method according to any one of claims 1 to 9, and the client. An order receiving server that executes the order processing method according to any one of claims 1 to 9.

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