JP2002177673A - Sewing support method, sewing support system and recording medium storing sewing support program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support the sewing of a sewing device without depending on the skill of an operator and a maintainer. SOLUTION: Sewing machine operators send sewing parameter data or malfunction data set in sewing machines 10, 11, 12 to a service department 25 of a maker through the Internet 14. The service department analyzes data sent, obtains an optimum value of the sewing parameters or prepares a malfunction analysis data, and delivers to the sewing machines through the Internet. In this configuration, as sewing service data including the sewing parameters and the malfunction analysis data are prepared in a department specializing in that work, an optimum sewing system can be constructed without depending on the degree of mastery of an operator or maintainer.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sewing assisting method, a sewing assisting system, and a recording medium storing a sewing assisting program.

[0002]

2. Description of the Related Art Conventionally, when trying to optimally operate a sewing machine installed in a sewing factory, a worker in the factory operates the sewing machine by individually setting conditions suitable for required quality. When a failure occurs in the sewing machine, the operator analyzes the failure and takes a corresponding measure.

[0003]

However, according to the conventional method, the setting conditions are different due to a difference in the level of proficiency between the operator who sets the driving conditions of the sewing machine and those who maintain the sewing machine. Further, when sewing cannot be performed with the used sewing machine or when the quality of the sewn product is poor, it is not possible to sufficiently cope with the problem.

Further, when a failure or abnormality occurs in the sewing machine, there is a problem that, depending on the degree of the failure, an expert must be called in from outside to repair the machine, and the maintenance system is insufficient.

The present invention has been made to solve such a problem, and a sewing support method and a sewing support method capable of supporting the sewing of a sewing device without depending on the skill of an operator or maintenance. It is an object to provide a recording medium storing a support system and a sewing support program.

[0006]

SUMMARY OF THE INVENTION According to the present invention, there is provided a sewing support method, a sewing support system, and a recording medium storing a sewing support program for supporting sewing of a sewing device. Analyzing the received data, creating sewing service data according to the analysis result, and transmitting the created sewing service data to the sewing device via a communication network.

In such a configuration, the sewing service data such as the optimum values of the sewing parameters and the failure analysis data are created by a department specialized in the sewing service data and distributed to the sewing device via the communication network. An optimal sewing system can be constructed without depending on the skill level of the user.

According to the present invention, a sewing support method for supporting a sewing operation of a sewing apparatus, a sewing support system, and a recording medium storing a sewing support program, acquire combination data of sewing parameters set in the sewing apparatus. Storing a plurality of combination data of the optimized sewing parameters that can optimize the sewing device with each sewing parameter as an item. From the combination data of the optimized sewing parameters, the optimum data most similar to the acquired combination data of the sewing parameters is stored. It is characterized in that the combination data of the artificial sewing parameters is extracted, and the extracted combined data of the optimized sewing parameters is provided as the sewing service data to assist the sewing of the sewing device.

With such a configuration, the sewing apparatus can always perform the sewing operation with the optimum value of the sewing parameter.
An optimal sewing system can be realized.

Further, in the above-mentioned configuration, a priority order is set for the items of the sewing parameters, and the combination data of the sewing parameters having the same or similar sewing parameters is sequentially extracted from the combination data of the optimized sewing parameters in the order of the items having the higher priority. When extracting the combination data of the most approximated optimization sewing parameters,
The process of extracting the combination data of the optimized sewing parameters is simplified, and the higher the priority, the more optimized the sewing parameters, so that the optimization of the system can be improved.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail based on an embodiment shown in the drawings.

[Overall Configuration] FIG. 1 shows the overall configuration of a sewing support system. In the figure, sewing machines (hereinafter referred to as sewing machines) 10 and 11 having an operation panel 13 are arranged in a sewing factory 20.
Are connected to the terminal computers 21 and 22 on the sewing factory side by a LAN or the like, respectively.
From 22, initial setting values of various sewing parameters, sewing data, a control program for controlling sewing operation, and the like are supplied to the sewing machines 10 and 11, and various data indicating the operating status of the sewing machine are supplied from the sewing machines 10 and 11. It is supplied to terminal computers 21 and 22.

In the sewing factory 23, a sewing system similar to that of the sewing factory is constructed, and the sewing machine 12 is connected to the terminal computer 24 in a LAN configuration. Although only one sewing machine is shown in FIG. 1, the sewing factory 23 is provided with a plurality of sewing machines and a computer connected thereto, as in the sewing factory 20. A terminal computer connected to the sewing machine at each of the sewing factories 20 and 23 includes:
An exclusive terminal computer can be provided for one sewing machine, or a terminal computer can have a server function, and a plurality of sewing machines can be connected to one server.

Each of the terminal computers 21 and 2 on the sewing factory side
Reference numerals 2 and 24 denote terminal computers 26 and 2 of a maker service section 25 via a communication network, for example, an Internet network (hereinafter referred to as the Internet) 14.
7. Data server 28 or sewing design department 30
Terminal computers 32 and 33 and data server 3
1 can be connected to each other.

The maker service section 25 activates a sewing support program stored in the terminal computers 26 and 27, as described later, and determines the optimum value of the sewing parameter from the actual sewing parameters transmitted from the factory. In this case, failure analysis data is created from the failure data of the sewing machine, and the analysis data is distributed to each sewing machine via the Internet 14 as sewing service data or sewing support data. In addition, the sewing design department 30 activates the sewing support program, and thereby the sewing design department 3
The sewing CAD data (pattern information) is taken in from the data server 31 of No. 0, converted into sewing data for the sewing machine, and distributed to the sewing machine.

A web server 15 is provided as an interface for the sewing factories 20, 23, the maker service section 25, and the sewing design section 30, and the homepage of the web server is accessed to exchange relevant data.

Communication via the Internet uses a commonly used communication protocol (TCP / IP). In communication, an ID number and a password are set as necessary, and data to be transmitted / received is also used. Encrypted as needed.

[Structure of sewing machine] Each sewing machine 10, 11, 1
As shown in FIG. 2, the control device 40 has a built-in control device 40. The control device 40 includes a CPU 40a for performing various controls such as sewing machine control, communication control, and input / output control, various control programs, and the like. And a non-volatile memory A40b for storing data such as a program executed by the sewing machine, a machine model name, a serial number, a shipping date, and a control program version, and a RAM 40c for providing a working area.
And a non-volatile memory B40d for storing data such as set values of various sewing parameters, failure data, sewing data, and the like.

The communication control circuit 40e controls communication with the terminal computer 21 (22, 24) at the sewing factory.
The sewing machine control circuit 40f controls the sewing operation of the sewing machine according to the sewing parameters and the sewing data. The input signal control circuit 40g includes a pitch length detected by the pitch detection sensor 42, a presser pressure detected by the presser pressure detection sensor 43, a thread tension detected by the thread tension detection sensor 44, and a sewing speed detection sensor 45. The control of taking in each data of the number of rotations of the sewing machine detected by is performed.

These fetched data are compared with the set values stored in the non-volatile memory B40d, respectively, and are output via the output signal control circuit 40h to the pitch setting actuator 46, presser pressure adjusting actuator 47, thread tension adjusting actuator. 48, the sewing machine rotation speed setting actuator 49 is driven, and the sewing parameters such as the pitch length, the presser pressure, the thread tension and the sewing machine rotation speed are controlled to the respective set values.

Further, the sewing machine is provided with sewing machine failure detecting means 41 for detecting various failures or abnormalities which occur when sewing with the sewing machine. If a failure occurs, a failure signal is sent to the input signal control circuit 40g. Via the CPU 40a
Is input to The CPU 40a determines the type of the failure from the input detection signal, sequentially stores the failure number indicating the type of the failure in the nonvolatile memory B40d, and saves the failure history. The RAM 40c stores a program address when the sewing machine stops due to a failure and data of input / output state information when the sewing machine stops.

The failure or abnormality of the sewing machine includes, for example, an abnormality of the input commercial power supply voltage, a failure of the sewing machine motor, a disconnection of a cable, a broken thread during sewing, a remaining amount of a bobbin (bobbin thread) of the sewing machine. There is a wide variety of failures and malfunctions of actuators, and failure numbers are assigned according to the types of these failures or abnormalities. Each time a failure or abnormality occurs, the failure number is stored in the non-volatile memory B40.
d is stored individually. The failure number and the content of the failure indicated by the failure number are stored in the form of a table in the nonvolatile memory B40d in advance.

The sewing machine further includes an operation panel 1 including a monitor 13a made of liquid crystal or the like and operation buttons 13b.
3 is provided, and data input and data display described below are performed on the operation panel.

[Optimization System] Next, referring to FIG.
A processing flow for setting the sewing conditions (sewing parameters) to the optimum values and realizing the optimization system will be described.

The sewing machine operator at the sewing factory starts a program for setting optimization conditions stored in the non-volatile memory A40b when it is desired to optimize the system because the quality of sewing products is poor. At this time, the menu as shown in FIG.
[1] An optimization system is selected (step S1).

When the optimization system is selected, FIG.
Since a screen as shown in FIG. 3B appears on the monitor 13a, data is input to items necessary for optimization (step S2). The data input here is, for example, pitch,
Presser pressure, sewing machine rotation speed, cloth type, number of cloths, thread type (for upper and lower threads, respectively), thread tension (for upper and lower threads, respectively), needle, needle count, process, etc. Yes, in this case, items that cannot be sensed (cloth type, number of fabrics, thread type, thread tension, needle, needle number, process) are directly input, and those that can be sensed are automatically input. For example, the pitch, the presser pressure, and the number of rotations of the sewing machine are respectively the pitch detection sensor 42,
The values detected by the presser pressure detection sensor 43 and the sewing machine speed detection sensor 45 are input.

FIG. 4B shows data directly or automatically input on the right side of each item. Further, a selection as to whether or not to fix the data in the optimization items is made with a fix button 50. Selected ones are marked with black circles. The data of these set sewing parameters can be canceled by pressing the cancel button 53, and can be stored in the nonvolatile memory B40d by pressing the registration button 52.

When the information transmission button 51 is pressed when the above input is completed (step S3), model-specific data (model name,
The serial number, the shipping date, and the control program version) are read and attached to the set sewing parameter data (step S4), and these model-specific data and sewing parameter data are stored in the terminal computer 21 (2) on the factory side.
2, 24) (step S5).

The terminal computer on the factory side is
When the data transmitted from (11, 12) is received (step S6), the data includes the factory location, contact information,
The data of the transmission date is attached (step S7), and the optimized data transmission / reception program in the terminal computer is automatically started (step S8). At this time, if an ID number and a password are entered, the
The server 15 is accessed and the terminal computer 21 (2
2, 24), the homepage of the maker as shown in FIG. 5 appears (step S9). Then, when the operator clicks the "optimization system" setting data transmission, the sewing parameter setting data and the data attached thereto are transmitted to the data server 28 in the service department 25 of the manufacturer via the web server 15. Is stored there (step S10).

The manufacturer's terminal computer 26 (2
7) When the above data is received from the sewing factory (step S11), the optimization program among the sewing support programs is started, and data similar to the data on the factory side is selected from the database stored in the data server 28. Then (step S12), an optimum rate is calculated from the data difference (step S13).

[Creation of Optimized Data] The following algorithm is used for creating optimized data and calculating the optimization rate. Data server 28 of maker service section
As shown in FIG. 6A, 1 to n combinations of sewing parameters that can be realized by the optimization system using sewing parameters such as process and cloth type as items are stored as a data table. In this case, the higher the sewing parameter, the higher the priority. Further, in the combination of the sewing parameters, the optimization rate is 10%.
0% (meaning that there are no stitching defects such as stitch skipping, thread breakage, needle breakage, slip-through, thread tangling, etc. under certain conditions)
Data.

Therefore, based on the sewing parameter data transmitted from the sewing machine, the data is narrowed down in order of priority. For the process with the highest priority,
Since the data is “side by side” from the sewing machine,
Data of the process “side-by-side” is narrowed down from the data table shown in FIG. 6A, and a data table as shown in FIG.

Next, narrowing down is performed with "cloth type" having a higher priority. Since the “cloth type” from the sewing machine side is “jersey”, the data table of FIG. 6B is narrowed down by “jersey”, and a data table as shown in FIG. 6C is obtained.

The next narrowing-down is performed by "the number of fabrics". If the data table is not narrowed down to one, the data table is narrowed down to "needle", then "needle number", and so on. Until done.

When the sewing parameters on the sewing machine side are as shown in FIG. 4B, the data table shown in FIG. 7A is obtained by narrowing down three times. Therefore, the data and the data transmitted from the sewing machine are compared to determine the optimization rate of each item. The optimization rate can be obtained by simply calculating the ratio, multiplying the difference by an evaluation coefficient, or combining them, or using a specific formula. For example, regarding the yarn tension, there is a relationship as shown in FIG.
Assuming that p> 0, (−a) is multiplied by the square of (x−p), and 1
It can be obtained by adding 00. Also,
In the item of the number of rotations of the sewing machine, for example, if the rotation rate is different from the rotation number on the manufacturer side and the defective rate increases by x%, a value obtained by subtracting x% from the optimum rate of 100% is set as the optimization rate.

FIG. 7C shows the calculation of the optimization rate of each item in this manner. Based on the optimization rate of each item, a total optimization rate is obtained. Since the value obtained by adding the defect rate (100-optimization rate) of each item is the total defect rate, in the above example, the defect rate is 10%, that is, the optimization rate is 90%.

In this manner, the received data from the sewing factory, the narrowed data, and the result of calculating the optimization rate (FIG. 7C) are stored as optimization data in the customer correspondence database of the data server 28. (Step S
14). In step S15, if there is a request from the sewing factory to receive the optimization data (click on “Receive optimization data” on the homepage in FIG. 5), the terminal computer 26 (27) on the manufacturer side sends the data server 28
The optimization data stored in the sewing factory is stored in the terminal computer 21 (22, 2, 2) through the web server 15.
4) (Step S16). The terminal computer at the sewing factory receives the transmitted optimization data (step S17), transmits it to the sewing machine (step S18), and terminates the homepage (step S19).

Subsequently, the optimization data is received on the sewing machine side (step S20), and the monitor 1 on the operation panel 13 is received.
When the image is displayed on 3a (step S21), the screen is displayed as shown in FIG. The data transmitted from the sewing machine is displayed on the right side of each item, and the optimization data transmitted from the maker side is displayed on the right side of the data, so that it is confirmed whether or not to execute the optimization (step S22). When performing optimization, the execute button 54 is pressed. Thereby, the sewing parameter data in the non-volatile memory B40d is rewritten to the optimization data (step S23), and the sewing machine
Sewing can be performed with the data.

On the other hand, if the optimization is not performed with the optimization data transmitted from the manufacturer, it is confirmed whether or not to perform the optimization again (step S24). If not, the cancel button 56 is operated. When the sewing is performed with the original data and the optimization is performed again, when the information retransmission button 55 is pressed, the screen shown in FIG. 4B is displayed (step S25), and the data is input again. Then (step S26), the process returns to step S3.

As described above, the sewing machine worker accesses the homepage provided by the manufacturer's service department from time to time, transmits data indicating the current operating state of the sewing machine to the manufacturer's service department, and creates the data based on the data. Since the sewing machine can receive the optimization data from the service department as sewing service data, if a sewing failure occurs or the quality of the sewing product is poor, the sewing machine can always be optimized by accessing the WEB server. It can be operated and the sewing machine system can be optimized.

[Failure Analysis] Next, the flow of pursuing the cause of a failure by performing a failure analysis when a failure occurs on the sewing machine will be described with reference to FIG.

When a failure occurs in the sewing machine 10 (11, 12), selecting "failure analysis" on the menu screen of FIG. 4A (step S31) causes the failure analysis screen of FIG. 9A to appear. Click the information transmission button 57 (step S32). Thereby, the model name, serial number, shipping date, control program version data of the sewing machine stored in the non-volatile memory A 40b of the sewing machine, the failure data (failure history) stored in the non-volatile memory B 40d, and the RAM 40c The data of the program address at the time of the stop and the input / output state information at the time of the stop are transmitted to the terminal computers 21 (22, 24) at the factory (steps S33, S34).

After receiving the data from the sewing machine (step S35), the terminal computer at the sewing factory attaches the data of the factory location, contact information, and transmission date to the data (step S36). The data transmission / reception program is automatically started (step S
37). At this time, if you enter your ID number and password,
The web server 15 is accessed via the Internet 14 and the homepage of the manufacturer shown in FIG. 5 appears (step S38).
When the button is clicked, the failure data and the data attached to the failure data are transmitted to the data server 28 in the service section of the manufacturer via the WEB server 15 and stored therein (step S39).

The manufacturer's terminal computer 26 (2
7) When the above data from the sewing factory is received and stored (step S40), a failure analysis program among the sewing support programs is started, the failure data on the factory side is analyzed, and the cause of the failure is pursued (step S41). ). this is,
Since the failure data sent from the factory includes the number of failures that have occurred and the history of failures, search for frequently occurring failure numbers, or accumulate the frequency of each failure number to determine the failure status or failure status. By analyzing the distribution,
For example, it can be determined that the origin sensor is defective,
Further, by referring to the program address at the time of the stop and the input / output state information at the time of the stop, it is possible to identify a defect in the control program. When the failure is analyzed in this way, the failure data from the sewing factory and the analysis result are stored in the data server 28 as a database corresponding to the customer (step S42).

In step S43, if there is a request from the sewing factory to receive the failure analysis data (click on "Reception of failure analysis data" on the homepage in FIG. 5), the terminal computer 26 (27) on the manufacturer side The failure analysis data stored in the data server 28 is transmitted through the WEB server 15 to the terminal computer 21 on the sewing factory side.
(22, 24) (step S44). The terminal computer at the sewing factory receives the transmitted failure analysis data (step S45), transmits this to the sewing machine (step S46), and the operator ends the homepage (step S47).

Subsequently, the sewing machine receives the failure analysis data (step S48) and displays it on the monitor 13a of the operation panel 13 (step S49), as shown in FIG. 9B or 9C. The screen is displayed. FIG.
In the case of the screen display of (B), the origin sensor is displayed as a failure location, and as a countermeasure, details such as an adjustment method, a procedure, or a replacement method or procedure of the origin sensor are displayed. Here, when the execution button 58 is clicked, automatic adjustment is performed if the origin sensor displayed at the fault location can be automatically adjusted. In the case of the screen shown in FIG. 9C, a program failure is displayed as a failure point, and a program rewrite is displayed as a remedy.
Then, when the execution button 58 is clicked, the control program is rewritten to the transmitted control program (steps S50, S51).

As described above, when there is a defect in the sewing machine, the failure analysis data of the sewing machine can be easily obtained by accessing the WEB server, and the sewing system can be returned to a normal state. Become.

[Other Embodiments] In the above embodiment,
The maker service section 25 creates sewing parameter optimum values or failure analysis data as sewing service data. However, the maker service section 25 accesses the sewing design section 30 in response to a request from the sewing machine and accesses the CAD data stored in the data server 31. Can be obtained, converted into sewing data suitable for sewing of the sewing machine, and distributed to each sewing machine. In this case, the unique data such as the model name of the sewing machine and the pattern information to be sewn are transmitted to the manufacturer service section via the communication network. The maker service department accesses the data server 31 of the sewing design department 30 based on the information, acquires CAD data corresponding to the pattern, converts the CAD data into sewing data suitable for the sewing machine, and distributes the data to the sewing machine. .

In the above-described embodiment, the home page is provided in a dedicated WEB server, for example, in a provider. However, the home page may be provided in a maker service section server.

In the above-described embodiment, the input of the data of the items necessary for the optimization is partially partially automatically performed, but may be manually performed.

In the above-described embodiment, when optimization is performed using the optimization data transmitted from the manufacturer, the sewing parameter data in the nonvolatile memory B40b is automatically rewritten to the optimization data. Alternatively, the operator may manually rewrite based on the displayed optimization data.

In the above-described embodiment, the homepage is accessed via the terminal computer in the sewing factory. However, the homepage may be accessed directly via the communication control circuit 40e of the sewing machine without using this computer. it can. In this case, the homepage screen is the operation panel 1
3 will appear on the monitor 13a.

In the above-described embodiment, the communication network is described as the Internet. However, similar effects can be obtained with a LAN, an intranet, or another communication network.

[0054]

As described above, according to the present invention, sewing service data such as sewing parameters and failure analysis data can be created by a department specializing in the sewing service data and distributed to each sewing device via a communication network. Therefore, it is possible to operate the sewing apparatus in an optimum state suitable for the sewing request without causing a difference in the driving condition of the sewing machine due to a difference in the skill level of the operator or the maintenance person.

Further, according to the present invention, it is possible to receive sewing support data even when sewing is difficult with the used sewing machine or when sewing quality is inferior, and an optimum sewing system can be constructed. Will be possible.

Further, according to the present invention, even if a failure or failure occurs in the sewing device, it is possible to receive specialized failure analysis data. Therefore, even if a maintenance person is not present, the operator can take appropriate measures. It becomes possible to take.

Further, in the present invention, a plurality of combination data of the optimized sewing parameters which can optimize the sewing device by using each sewing parameter as an item is stored, and from this data, the combination data of the sewing parameters set in the sewing device is stored. Since the combination data of the most optimized sewing parameters is extracted, it can be easily provided to the sewing device as the sewing service data, and the sewing device is always operated with the optimum value of the sewing parameter. Can be.

Further, according to the present invention, the priority order is set for the items of the sewing parameters, and the combination data of the optimized sewing parameters is sequentially extracted in the order of the items having the highest priority. The sewing parameters are simplified, and the sewing parameters are optimized for the items with higher priorities, so that the optimization of the system can be improved.

[Brief description of the drawings]

FIG. 1 is a configuration diagram showing an overall configuration of a sewing support system of the present invention.

FIG. 2 is a block diagram showing a configuration of a sewing machine.

FIG. 3 is a flowchart showing a flow of acquiring an optimum value of a sewing parameter and optimizing a sewing machine.

FIG. 4 is an explanatory diagram showing data input for optimization.

FIG. 5 is an explanatory diagram showing a menu screen of a homepage.

FIG. 6 is a table illustrating data narrowing down for obtaining optimum values of sewing parameters.

FIG. 7 is an explanatory diagram illustrating narrowed data and calculation of an optimization rate.

FIG. 8 is an explanatory diagram showing a screen for rewriting a set value of a sewing parameter to its optimum value.

FIG. 9 is an explanatory diagram showing a failure analysis screen.

FIG. 10 is a flowchart illustrating a flow of acquiring failure data and distributing failure analysis data.

[Explanation of symbols]

 10, 11, 12 Sewing machine 14 Internet 15 Web server 20, 23 Sewing factory 21, 22, 24 Terminal computer 25 Manufacturer service division 26, 27 Terminal computer 28 Data server 30 Sewing design division 31 Data server 32, 33 Terminal computer

Continuing from the front page (72) Inventor Shinji Kamakura 8-2, Kokuryo-cho, Chofu-shi, Tokyo F-term in Juke Corporation (reference) 3B150 CA01 CE01 CE09 CE25 CE29 LA15 LA22 LA31 LA51 LA85 LA89 LB01 LB02 MA03 NA14 NA21 NA30 NA47 NA76 NA79 NB03 NB07 NB15 NB18 QA06 QA07 3C100 AA58 AA68 BB27 CC01 CC08 CC12 EE16

Claims (12)

[Claims] 1. A sewing support method for supporting sewing of a sewing device, comprising the steps of: receiving data of the sewing device via a communication network; analyzing the received data; and creating sewing service data in accordance with the analysis result. A sewing support method, comprising: transmitting a created sewing service data to a sewing device via a communication network. 2. The sewing device according to claim 1, wherein the data of the sewing device is a set value of a sewing parameter or failure data, and the sewing service data is an optimum value of the sewing parameter or failure analysis data. How to help. 3. A sewing support system for supporting sewing of a sewing device, a means for receiving data of the sewing device via a communication network, a means for analyzing the received data, and creating sewing service data in accordance with the analysis result. Means, and means for transmitting the created sewing service data to the sewing device via a communication network. 4. The sewing according to claim 3, wherein the sewing device data is a set value of a sewing parameter or failure data, and the sewing service data is an optimum value of the sewing parameter or failure analysis data. Support system. 5. A procedure for analyzing data of a sewing device obtained via a communication network on a recording medium storing a sewing support program for supporting sewing of the sewing device, a procedure for creating sewing service data according to the analysis result. And a procedure for transmitting the created sewing service data to the sewing device via a communication network. 6. The recording according to claim 5, wherein the data of the sewing device is a set value of a sewing parameter or failure data, and the sewing service data is an optimum value of the sewing parameter or failure analysis data. Medium. 7. A sewing support method for assisting sewing of a sewing device, comprising: a step of acquiring combination data of sewing parameters set in the sewing device; and an optimized sewing that can optimize the sewing device by using each sewing parameter as an item. A step of storing a plurality of combination data of parameters; and a step of extracting combination data of the optimized sewing parameters most similar to the obtained combination data of the sewing parameters from the combination data of the optimized sewing parameters, A sewing support method characterized by providing combination data of extracted optimized sewing parameters as sewing service data to assist sewing of a sewing device. 8. A priority order is set for the items of the sewing parameters, and combination data of the sewing parameters whose sewing parameters match or are similar in the order of the items having the highest priority are sequentially extracted from the combination data of the optimized sewing parameters. 8. The sewing support method according to claim 7, wherein the combination data of the optimized sewing parameters that are closest to each other are extracted. 9. A sewing support system for assisting sewing of a sewing device, comprising: means for acquiring combination data of sewing parameters set in the sewing device; and optimized sewing capable of optimizing the sewing device using each sewing parameter as an item. Means for storing a plurality of combination data of the parameters; and means for extracting combination data of the optimized sewing parameters most similar to the obtained combination data of the sewing parameters from the combination data of the optimized sewing parameters, A sewing support system characterized by providing combination data of the extracted optimized sewing parameters as sewing service data to assist sewing of a sewing device. 10. A priority order is set for the items of the sewing parameters, and combination data of the sewing parameters whose sewing parameters match or are similar in order of the item having the highest priority are sequentially extracted from the combination data of the optimized sewing parameters. The sewing support system according to claim 9, wherein combination data of the most approximated optimized sewing parameters is extracted. 11. A recording medium storing a sewing support program for assisting sewing of a sewing device, a procedure of acquiring combination data of sewing parameters set in the sewing device, and optimizing the sewing device by using each sewing parameter as an item. From the combination data of multiple optimized sewing parameters that can be
A procedure for extracting combination data of optimized sewing parameters that is most similar to the acquired combination data of sewing parameters, and a storage medium storing: 12. A priority order is set for the item of the sewing parameter, and combination data of sewing parameters whose sewing parameters match or are similar in order of the item with the highest priority are sequentially extracted from the combination data of the optimized sewing parameters. 12. The recording medium according to claim 11, further comprising a step of extracting data of a combination of the most approximated optimized sewing parameters.