JPH10177587A - Degree of difficulty detection device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically detect the degree of difficulty based on a prescribed decision reference by using a degree of difficulty detection means for conducting the degree of difficulty for production of clothes based on the pattern data and the decision reference data which are stored in a degree of difficulty decision reference data storage means. SOLUTION: A CPU 1 performs the total control of a degree of difficulty detection device and is connected to an ROM 2 which stores an operation program of the detection device, an RAM 3 which temporarily stores the pattern data, a decision reference table and the decision result, a readable/writable hard disk 6 which stores the pattern data, the decision reference table, etc. The RAM 3 and the disk 6 construct a pattern data storage means and a degree of difficulty decision reference data storage means respectively. Then the degree of difficulty for production of the clothes is conducted based on the pattern data stored in the pattern data storage means and the decision reference data stored in the degree of difficulty decision reference data storage means.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a difficulty level detecting apparatus for detecting a sewing level when fabricating clothes using digitized pattern data used in apparel CAD and the like. .

[0002]

2. Description of the Related Art The degree of difficulty in the sewing process for making clothes varies depending on the design and the material. Even if it is difficult, it is technically difficult to sew parts with different shapes, that is, to sew curved parts with opposite irregularities, and it is very difficult to sew even a simple locus. If it is a long distance, it can be very troublesome. The difficulty of sewing (hereinafter referred to as difficulty) can affect the labor cost of contracting at a sewing factory, and in general, a pattern set and necessary fabrics and buttons for making commercially available clothes. In some cases, it is indicated as a criterion for consumers in a dressmaking set or the like that combines the above.

Conventionally, when indicating the degree of difficulty in making a garment for the above-described purpose, humans have determined for each design in accordance with an arbitrary standard based on knowledge of the pattern shape, the number of patterns, sewing processing, and the like.

[0004] For example, if there is a sleeve, it is difficult to sew it neatly because stitching of the sleeve attachment portion sewes the curve with the opposite unevenness. In order to put out, the circumference of the sleeve attachment part is longer than the body, so you have to sew while delicately folding the sleeve pattern,
Fastening makes it a little difficult, sewing with a lot of frills is not difficult, but the amount of sewing is very large and difficult. You look at the design or look at the number and shape of the patterns to make a decision.

[0005] For example, when expressing the degree of difficulty for the three types of designs shown in Fig. 2, the dress of (c) is the most difficult and large because it contains almost both elements of a shirt and a skirt. At first glance, you can see that the total sewing distance will be long and it will take time,
A more detailed analysis is required for the wrap tight skirt (hereinafter referred to as a skirt) in (a) and the short-sleeved shirt (hereinafter referred to as a shirt) in (b).

When the pattern shapes (FIGS. 3 and 4) are compared, the number of patterns is the same. However, when looking at each sewing position, the skirt has a straight side, a waist, a front look back, and a sewn portion. They are very simple because they have the same shape. On the other hand, in the case of a shirt, it is difficult to simply sew the sleeves and the collar together because the portions to be sewn together have opposite shapes. Considering the labor of attaching buttons, it can be said that a shirt takes more time. As a result, shirts are more difficult and time consuming. However, it is not useful to make a universal and clear judgment result, rather than just comparing the designs in front of each other, so assigning points for each processing such as collar attachment, sleeve attachment etc. In some cases, the difficulty is expressed by giving a score.

In the field of handling clothing patterns, apparel CAD has recently been generally used, and information on pattern shapes and stitches is already stored in digital data format. Although not uncommon, there was no means to use these pattern data when determining the difficulty level.

[0008]

However, in the above method, it is necessary for a person with sewing knowledge to determine the relative difficulty for each design after grasping the overall difficulty distribution as described above. There were many parts that depended on the abilities of workers, and the efficiency was poor.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problem, and uses a digitized pattern data of clothes to automatically detect a difficulty according to a predetermined criterion. An object of the present invention is to provide a difficulty level detecting device.

[0010]

According to a first aspect of the present invention, there is provided an apparatus for detecting a degree of difficulty, wherein a pattern data inputting means includes the shape and sewing of each pattern constituting clothing. Enter information, etc. The pattern data storage means stores the pattern data input from the pattern data input means. The difficulty determination criterion data storage means stores data serving as a criterion for determining sewing difficulty from the pattern shape of the stitched portion. The difficulty level detecting means derives the difficulty level of clothing creation based on the pattern data stored by the pattern data storing means and according to the criterion data stored by the difficulty level criterion data storing means. Therefore, the difficulty level is automatically detected based on the pattern data and the difficulty level determination reference data.

According to the second aspect of the present invention, the total sewing circumference obtaining means calculates the total sewing circumference from the pattern data. The trouble detecting means uses the total circumferential length obtained by the total sewing circumferential length obtaining means as one data of the difficulty level detection result as a degree of trouble of sewing. Therefore, not only the difficulty of the sewing but also the level in terms of the troublesomeness is determined.

Further, according to the difficulty detection apparatus of the third aspect, the pattern data includes the sewing margin angle shape data. The sewing order detecting means detects a sewing order from the pattern data in consideration of the sewing margin angle shape data. The sewing process reflecting unit changes the sewing process to the pattern data in accordance with the sewing order detected by the sewing order detecting unit. The sewing reflection pattern data storage means stores the pattern data changed by the sewing processing reflection means. Therefore, when searching for the correspondence of the stitched portion on the data, the pattern data of the shape at the time of the actual stitching as the sewing process progresses is used as the basis, so that the stitched portion can be detected more accurately.

[0013]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of a difficulty level detecting device according to this embodiment.

As shown in FIG. 1, in the difficulty detecting device, a CPU 1 for controlling the whole device includes a ROM 2 storing an operation program of the difficulty detecting device, a pattern data, a judgment reference table and a judgment result. A RAM 3 for temporarily storing data, a mouse 4 for performing operations such as inputting pattern information and giving instructions necessary for processing to the CPU,
And a keyboard 5, a read / write hard disk 6 for storing pattern data and information such as a judgment reference table, a display 7 for displaying operation instructions, judgment results, and the like, and inputting a pattern shape. And a digitizer 8 for connection.

The RAM 3 and the hard disk 6
Constitutes a pattern data storage unit and a difficulty level determination reference data storage unit of the present invention. The mouse 4, the keyboard 5, and the digitizer 8 constitute the pattern data input means of the present invention.

The ROM 2 stores a difficulty detection program,
For example, for each pattern of the designated design, the sewing order is detected based on the sewing allowance data, the pattern to be sewn is searched, and the shape and circumference of each sewn portion are processed based on the difficulty determination reference data. Has a difficulty detection program area for storing programs and the like.

The hard disk 6 has an apparel CAD
Pattern data for storing pattern data used to create clothes, such as pattern shapes input from the digitizer 8 by processing such as programs, stitching data input from the mouse 4 and keyboard 5, and sewing allowance data. A storage area 6B, a difficulty determination criterion data storage area 6C for storing a difficulty determination table serving as a reference for determining the difficulty based on the shape, perimeter, and the like of the corresponding stitched portion; and a seam allowance included in the pattern data. A sewing order data storage area 6D for storing sewing order data detected from the data, and a sewing reflection pattern for storing sewing reflection pattern data for reflecting a sewing process to the pattern data based on the sewing order data and the pattern data; In the process performed according to the data storage area 6E and the difficulty determination program, Consisting difficulty storage area 6F for storing data issued the difficulty or circumference, or the like.

The RAM 3 has a difficulty determination program area 3A for storing the difficulty determination program transferred from the ROM 2, and a pattern data storage area 3B for storing the pattern data transferred from the hard disk 6. A difficulty determination reference data storage area 3C for storing the difficulty determination table transferred from the hard disk 6, a sewing order data storage area 3D for temporarily storing the sewing order data, and the sewing reflection. A sewing reflection pattern data storage area 3E for temporarily storing pattern data, and a difficulty storage area 3F for temporarily storing the difficulty level.

In the pattern data areas 3B and 6B, point type data and component points are set for all the component points for each data type such as a finish line or an internal line constituting each pattern necessary for making clothes. A pattern shape data table (see FIG. 6) including numbers, coordinate data, and the like;
For each pattern, a stitching data table (see FIG. 7) composed of a component point number and a component code for a component point in which a component code indicating each point such as the front center of the waist and the right side of the waist at the time of completion is set; For each pattern, there is a seam allowance data table (see FIG. 8) indicating the seam allowance width and the seam allowance angle shape.

The coordinate information is based on an independent XY coordinate system for each pattern. The constituent points include the end points (BR
EAK), a passing point on a curve (CURVE), and a notch (NOTCH) constrained on a line such as a joint mark. BREAK and CURVE points are point type data,
The notch point has a point type data, a point number, a reference point number, and distance data from the reference point.

The point type data is BREAK, CURV
This is information indicating the distinction between E and NOTCH. The part code is different for each part, and the same code is set for each part at the point where the parts are sewn when the clothes are completed and coincide with each other. The seam allowance width is set to a value of the seam allowance width in units of 1/10 mm corresponding to the target line. For the sewing margin angle shape, a square shape code for each type shown in FIG. 9 is set corresponding to the target portion. Both the stitching data and the seam allowance data are set in the arrangement order of the shape composing points. The above is the data stored by the pattern data storage unit in the present embodiment.

The difficulty determination reference data 3C and 6C include a determination reference for classifying the information obtained from the pattern data such as the shape into difficulty ranks. It is composed of difficulty determination reference data for two elements based on whether or not their circumferences are the same (see FIG. 9). The difficulty level is assigned to a value that is so large that it is difficult. More than,
This is data stored in the difficulty determination criterion data storage unit in the present embodiment.

The determination result storage area 3D is an area for temporarily storing the difficulty level determined for each stitching point for each pattern constituting the design.

In the sewing reflection pattern data 3E, a portion whose shape has been changed assuming that the sewing process has been performed is set as a changed portion, and the coordinate data of the changed portion is updated in the shape data reflecting the sewing process. Similarly, there is updated sewing data. This is the data stored in the sewing reflection pattern data storage means in the present embodiment.

Next, the operation of the difficulty level detecting apparatus of the present embodiment, constructed as described above, will be described with reference to FIGS.
This will be described based on the diagram and flowchart shown in FIG.

The skirt of FIG. 2a can be made using six patterns whose pattern shapes and part codes are shown in FIG. Each pattern is stored in the form of the pattern shape data in FIG. 6, the stitching data in FIG. 7, and the seam allowance data in FIG. 8, and FIG. 5 shows the shape composing points and their point codes for each pattern of the skirt. is there.

First, in FIG. 11, when a design name "wrap tight skirt" is inputted (step 11).
01), the corresponding pattern data is read into the memory (step 1102), and a check is started for each pattern (step 1103).

First, the sewing order is detected (step 110).
4). Hereinafter, in FIG. 12, the corner code D set on the first P0 is obtained from the seam allowance data (step 1).
201). This is not a code indicating a dart part (step 1202), but the seam allowance width of the part starting from this point is also set (step 1204).
Is detected (step 1206).

Referring to FIG. 13, when the next corner code is detected, the line is detected as H set in P4-P6 (step 1301). Since this is a dart code (step 1)
302), ignoring and obtaining the next corner code, ie, C set on P8 (step 1301).

Since this is not dart (step 13
02), and using this as the end point of the line, a line P0-P8 is obtained (step 1303). Returning to FIG. 12, here, P0
It is confirmed on the sewing margin data that there is a sewing margin width setting of a portion ending in "". When the corner code D of P0 is checked, the sewing margin angle code indicating that the previous line is sewn first is obtained. (Step 1208) Since the previous line has not been set yet (Step 1212, ie, Steps 1401 and 1402 in FIG. 14), the previous line is detected by the same processing as P0-P8 (Step 14).
03), after the detected P20-P0 is set at the end of the sewing order data (step 1404), the previously detected P20-P0 is set.
0-P8 is continuously set (step 1405, returning here to FIG. 12, step 1213).

The corner code set after P0 is P4
This is a code indicating the dart of H set up to -P6 (step 1202). Therefore, P4-P6 is set at the head of the sewing order data (step 1203).

Subsequently, when the processing is shifted to the next corner code, P
8, which is not a dart (step 1202), the line P8-
P12 is detected (step 1206). Here, since C indicates that the next line is sewn before the previous line (steps 1208 and 1209), the previous line data is searched from the sewing order data (step 1210), and P0−
P8-P12 is set before P8 (step 121)
1).

Next, although the set corner code is D on P12, it is not dart (step 120).
2) In the same manner as described above, the line P12-P16 starting from here is detected, and since the square code indicates that the previous line is first, the end point is P12 data from the sewing order data, that is,
P8-P12 is detected, and then P12-P16 is set.

Since the next corner code on P16 is B, which does not specify the sewing order, the next P16-P16 follows the previous line P12-P16.
-Set P18. The corner code of the next corner P18 is D and the preceding line has priority, but the line starting from P18 has no sewing margin set. That is, since the line starting here is not sewn to another line, it is skipped and the processing is shifted to the next corner code. The next is C set on P20, but the line started from this is already set in the sewing order data, and this means that all the sewing margin angle code checks for pattern A have been completed ( Step 1215).

Here, returning to FIG. 11, a part code set for each sewing part set in the sewing order data is checked (step 1105). First, since the first sewing position P4-P6 is dart, no further data is required. Next, since ME and WM are set on P20-P0, ME-WM is set in the sewing order data. Similarly, WR-S is added to P8-P12.
R is set to SR-SM in P12-P15. For the next P16-P18, SM, SFC, and SM are set in order including the point P17 between them, so that SM-SFC-SM is set in the sewing order data. Thus, the sewing order data for the pattern A is obtained. Hereinafter, similarly, the sewing order data is set for the remaining five patterns (FIG. 18, step 110).
6).

Next, according to the sewing order data, the process proceeds to the check of each sewing position (step 1107).

Looking at the first sewn portion of the first pattern A (steps 1108 to 1111; hereinafter, in FIG. 15), it is a dart (step 1502), so it matches the dart shape line, ie, P4 and P6. An internal line IP2-IP3-IP4 having a starting point and an ending point is detected from the shape data (step 1503).

This corresponds to IP2-IP3 and IP4-IP3
Therefore, after performing a seam line comparison, pattern data reflecting the sewing process is created. First, a seam line comparison is performed (step 1).
504). Hereinafter, in FIG. 16, IP2-IP3 and I
Since P4-IP3 is not set in the sewing reflection pattern data, the respective circumferences L1 and L2 are obtained from the shape data of the original pattern data (steps 1601 and 160).
2). In this case, the lengths are the same (step 160).
3) The difficulty coefficient a is set to 1 (step 16).
04). Since the shapes are also straight lines with no curve points between them (steps 1606 and 1607), the difficulty coefficient b is set to 1 (step 1608).

Accordingly, the difficulty value of the dart portion is a value 1 obtained by multiplying the difficulty coefficient a and the difficulty coefficient b, and the sewing circumference is L1 (step 1614). Here, FIG.
Then, the obtained difficulty value and the sewing circumference are stored as the total difficulty and the total sewing circumference (step 1505), and the process proceeds to reflection of the sewing processing (step 1511).

In the following, referring to FIG. 17, since the sewing position including the dart portion is P0-P8 (step 170).
1) P0-P8 are added to the sewing reflection pattern data (hereinafter, referred to as reflection data) as changed portions (steps 1702 and 1703). Due to the dart sewing, the line after the dart becomes the dart center IP3 and both ends of the dart IP2
And IP4, that is, rotation so that P4 and P6 match, so that the coordinates of a point after P6 may be converted by the conversion formula shown in FIG. Since X0 and Y0 in the conversion equation are the centers of rotation, the coordinates of IP3 are substituted, and IP0 is substituted for the reference angle θ.
Substitute the angle of 2-IP3-IP4. The coordinates of P7 and P8 are transformed by the coordinate transformation process, and the darts are stitched together, so that P5 and P6 are deleted and new P0-P8 are deleted.
Is set as new data in the change data (step 1704).

Here, returning to FIGS. 17 to 15 and FIGS. 15 to 11, the process proceeds to the next sewing position (step 1108,
1110). Again, in FIG. 15, next is P20-P0
(Step 1501), since this is a part of the ME-WM (step 1502), when a part of the same combination of ME-WM is searched for all the patterns (step 1506), the pattern D: P9
-P0 is found (step 1507). The stitching line of P20-P0 of pattern A and the stitching line of P9-P0 of pattern D are compared in the same manner as the dart portion to obtain the difficulty level and circumference (step 1508).

Here, since only one location of P9-P0 was searched for as a sewing target, the number of searches was 2
If the number of stitches is obtained by adding 1 to the integer value obtained by dividing by 1, the number of stitches in this case is 1 (step 1509), and the difficulty level obtained by the seam line comparison is obtained. Are added to the total difficulty and the total circumference (Step 1).
510). Again, in FIG. 17, since the sewing process of this portion is neither dart nor stitching on the same sewing position (steps 1702 and 1705), nothing is set in the change data.

Returning to FIG. 11, the next sewing point P8-P12
Is similarly processed (step 1108), the pattern C: P0-P4 of the rear skirt is searched for the stitching object and has the same length and the same curve shape. Added to difficulty and total circumference, no change data.

Next P12-P16 (step 1108)
In FIG. 15, since there is no sewing target (steps 1502, 1506, and 1507), its circumference is determined (step 1512) and added to the total circumference (step 1).
513).

Returning to FIG. 11, in the next P16-P18 (step 1108), three part codes SM, SFC and SM are set (step 1110).
A sewing position check is performed for the first SM-SFC, that is, P16-P17 (step 1111).
In FIG. 15, the part to be sewn is P18-P17 on the same pattern (step 150).
6, 1507).

The difficulty and circumference are obtained in the same manner as described above (step 1508), added to the total difficulty and the total circumference (step 1510), and the sewing process is reflected (step 1511). In FIG. 17, the reflection of the sewing process in this case is based on the sewing point P16-
Because it is on P18 (steps 1701 and 1705),
Set P16-P18 in the change data (Step 1)
706). Then, assuming that the part of the sewing object P17-P18 on the end side has been sewn to P16-P17, the data of P18 is deleted from the data of the shape and the sewing in the current changed data (step 1707).

Returning to FIG. 11, since the setting of the three part codes on the same sewing position at this point is now two, there is no other part to check (step 1112), and the next sewing position, that is, A check is made on the last sewing position P0-P8 for the pattern A of the sewing order data (step 1108). Since a plurality of part codes are set, first, the parts P0-P1 of the first WM-WFC are set.
Are similarly processed (step 1110), and FIG.
(1506, 1508-1510). In FIG. 17, since the change data is the already set portion (step 1706), a change for deleting P0 is further made (step 1707), and the check of the P0-P1 portion is completed.

Returning to FIG. 11 again (step 111)
0), the next P1-P2 portion is the P
Since processing has already been performed as a sewing target of 0-P1 (step 1501), the process returns to FIG.
Check for -P8 (step 1110). The sewing target is P0-P4 of the pattern D, and the circumference and shape may be referred to from the original pattern data. However, P1-P8 is a portion set in the change data, so the change data is referred to. To obtain the circumference and shape.
Thereafter, the overall difficulty and the overall circumference are updated by the same processing, and the check is terminated with the changed data as it is.

With the above processing, the check of all the stitched portions for the pattern A is completed (step 11).
13).

Similarly, patterns B, C, D,
The processing is performed for E and F (step 1114), and the numerical value of the total difficulty and the total circumference obtained at the end are set as the difficulty of this design (step 1115).

By the above-described processing, the difficulty level in the sewing operation of the wrap tight skirt is detected as a total difficulty level value expressing the degree of difficulty and a total circumference value expressing the labor and effort.

The part for creating the sewing order data in the above processing (step 1104, processing of FIG. 12) is the part for performing detection by the sewing order detecting means in this embodiment.
Step for creating sewing reflection pattern data (step 15
11, the processing of FIG. 17) is a part to be processed by the sewing processing reflecting means, and is a processing of obtaining the total circumference (step 15).
12 and 1513) are the total sewing circumference obtaining means, and the total circumference is set to a value expressing the engagement of labor (steps 1512, 1513 and 1115) in the processing performed by the labor detecting means. In addition, the processing (steps 1107 to 1115) for obtaining the total difficulty value including the total circumference is the processing performed by the difficulty detecting means.

In the present embodiment, the configuration including all the claims has been described. However, as a configuration satisfying only the first aspect, it is not necessary to compare the shapes each time, and it is difficult to use a sleeve or a collar or the like based on the correspondence of the part codes. It is also possible to detect the presence of a sewn portion that is a point of increasing the degree, add the difficulty value, and obtain the total difficulty.

Further, in this embodiment, only the shape and circumference of the stitched portion are used as the criterion for determining the degree of difficulty. However, keywords such as buttons and fasteners, which are input as design information or pattern information, are added to the determination element. You may.

[0056]

As is apparent from the above description, according to the difficulty level detecting device of the first aspect of the present invention, digitized shapes, sewing information, etc. are obtained for each pattern constituting the clothing. Is used to automatically detect the degree of difficulty according to a predetermined determination criterion, so that there is no bias in the result due to manual work and the work efficiency is improved.

Further, according to the difficulty level detecting device of the present invention, the difficulty level can be represented more accurately because the total sewing circumference is determined and the labor involved is quantified.

Further, according to the difficulty level detecting device of the third aspect, the sewing order is detected by using the seam allowance data included in the pattern data, and the sewn position is determined by referring to the pattern shape deformed in accordance with the sewing process. Since the degree of difficulty is detected by checking, the stitched portion can be detected more accurately, and therefore, the difficulty level can be detected with higher accuracy.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating an electrical control configuration of a difficulty level detection device according to the present embodiment.

FIG. 2 is an image diagram of a completed wrap tight skirt, a short sleeve shirt, and a dress.

FIG. 3 is a diagram in which a part code is added to each pattern of a wrap tight skirt.

FIG. 4 is a diagram in which a part code is added to each pattern of a short-sleeved shirt.

FIG. 5 is a diagram in which constituent point numbers are added to each pattern of a wrap tight skirt.

FIG. 6 is a diagram illustrating a part of data configuration content of a pattern shape;

FIG. 7 is a diagram of a part of part code data serving as stitching information for each pattern;

FIG. 8 is a diagram showing a part of seam allowance data for each pattern.

FIG. 9 is a diagram of a sewing margin code and a corresponding square shape.

FIG. 10 is a diagram of criteria data.

FIG. 11 is a flowchart of a difficulty level detection process.

FIG. 12 is a flowchart of a sewing order detection process for one pattern.

FIG. 13 is a flowchart of a line detection process.

FIG. 14 is a flowchart of a previous line data position acquisition process.

FIG. 15 is a flowchart of a sewing location check process.

FIG. 16 is a flowchart of a stitched line comparison process.

FIG. 17 is a flowchart of a sewing process reflection process.

FIG. 18 is a diagram of sewing order data at the time of completion of sewing order detection for each pattern of the wrap tight skirt.

FIG. 19 is a diagram showing a part of sewing reflection pattern data;

FIG. 20 is a diagram illustrating a process of reflecting a dart sewing process into pattern shape data.

[Explanation of symbols]

 1 CPU 2 ROM 3 RAM 4 mouse 5 keyboard 6 hard disk

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁶ Identification code FIG06F 15/60 612Z

Claims (3)

[Claims] 1. A pattern data input means for inputting a shape of a pattern, sewing information, and the like for creating clothes; a pattern data storage means for storing pattern data input from the pattern data input means; A difficulty determination criterion data storage unit for storing data serving as a criterion for determining the sewing difficulty from the pattern shape; and the difficulty determination criterion data storage based on the pattern data stored by the pattern data storage unit. And a difficulty detecting means for deriving the difficulty of making the garment in accordance with the determination reference data stored by the means. 2. A total sewing circumference obtaining means for calculating a total sewing circumference from the pattern data, and a difficulty detection result is obtained by using the total circumference obtained by the total sewing circumference obtaining means as a time and effort for sewing. 2. The difficulty level detecting device according to claim 1, further comprising: a trouble detecting unit that sets the data as one of the following. 3. The sewing pattern detecting device according to claim 1, wherein the pattern data includes sewing margin angle shape data, and the sewing order detecting unit detects a sewing order from the pattern data in consideration of the sewing margin angle shape data. A sewing process reflecting unit for performing a change to reflect the sewing process on the pattern data in accordance with a sewing order; and a sewing reflected pattern data storing unit for storing the pattern data changed by the sewing process reflecting unit. The difficulty level detection device according to claim 1.