Sewing machine control system and method

Abstract

The application discloses a sewing machine control system and method, and relates to the field of sewing equipment.The method comprises the following steps: extracting work flow information of a target sewing machine device according to a device operation record storage cloud platform; performing function partitioning on the running device of the target sewing machine device according to the work flow information, generating N running function areas; integrating historical construction target data of the target sewing machine device, generating a sewing target information library; traversing the sewing target information library to determine a running target, controlling the N running function areas, and generating a region control efficiency set; based on the running target, combining a control method set according to the region control efficiency set, obtaining a plurality of control schemes; traversing the plurality of control schemes to perform optimization, and performing running control on the target sewing machine device according to an optimal control scheme.The technical problem that the sewing process is difficult to accurately control in the prior art is solved, and the technical effect that the sewing process is automatically controlled is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of sewing equipment, in particular to a sewing machine control system and method. BACKGROUND

[0002] The existing sewing machine control system usually adopts mechanical or simple electronic control, which is complex to operate and cannot realize accurate control of the sewing process, resulting in unstable sewing effect and low production efficiency. SUMMARY

[0003] The present application provides a sewing machine control system and method, which solves the technical problem of difficult accurate control of the sewing process in the prior art.

[0004] In view of the above problems, the present application provides a sewing machine control system and method.

[0005] The first aspect of the present application provides a sewing machine control system, which comprises:

[0006] An extraction module is configured to extract work flow information of a target sewing machine device from a device operation record storage cloud platform;

[0007] A partition module is configured to functionally partition running devices of the target sewing machine device according to the work flow information, and generate N running function areas;

[0008] A construction module is configured to integrate historical construction target data of the target sewing machine device, and generate a sewing target information library;

[0009] A control module is configured to traverse the sewing target information library to determine a running target, control the N running function areas, and generate a region control efficiency set;

[0010] A scheme generation module is configured to combine a control method set according to the region control efficiency set based on the running target, and obtain a plurality of control schemes, wherein the control method set and the region control efficiency set have a corresponding relationship;

[0011] An optimization module is configured to traverse the plurality of control schemes to perform optimization, and perform running control on the target sewing machine device according to an optimal control scheme.

[0012] The second aspect of the present application provides a sewing machine control method, which comprises:

[0013] Extracting work flow information of a target sewing machine device from a device operation record storage cloud platform;

[0014] According to the workflow information, the running device of the target sewing machine equipment is functionally partitioned, and N running function areas are generated;

[0015] The target data of the integrated target sewing machine equipment is constructed, and a sewing target information library is generated;

[0016] The running target is determined by traversing the sewing target information library, the N running function areas are controlled, and a region control efficiency set is generated;

[0017] Based on the running target, a combination of a control method set is performed according to the region control efficiency set, and a plurality of control schemes are obtained, wherein the control method set and the region control efficiency set have a corresponding relationship;

[0018] The optimal control scheme is obtained by traversing the plurality of control schemes for optimization, and the target sewing machine equipment is controlled according to the optimal control scheme.

[0019] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0020] First, the workflow information of the target sewing machine equipment is extracted according to the equipment running record storage cloud platform. Next, according to the workflow information, the running device of the target sewing machine equipment is functionally partitioned. After considering factors such as equipment structure, running efficiency and operation demand, the equipment is divided into N running function areas. In order to better optimize and control the target sewing machine equipment, the target data of the integrated target sewing machine equipment is constructed, and a sewing target information library is generated. After the running target is determined, the running target of the equipment is determined by traversing the sewing target information library. Then, the N running function areas are controlled, and a region control efficiency set is generated. Based on the running target and the region control efficiency set, a combination of a control method set is performed. The control method set and the region control efficiency set have a corresponding relationship, different control methods are used for different region characteristics, and a plurality of control schemes are obtained. Finally, the control schemes are optimized, and the optimal control scheme is obtained. The target sewing machine equipment is controlled according to the optimal control scheme. The technical problem that the sewing process is difficult to accurately control in the prior art is solved, and the technical effect of automatic control of the sewing process is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1A sewing machine control method flow chart provided by an embodiment of the present application;

[0023] Figure 2 A sewing machine control system structure diagram provided by an embodiment of the present application.

[0024] Legend: extraction module 11, partition module 12, construction module 13, control module 14, scheme generation module 15, optimization module 16. DETAILED DESCRIPTION

[0025] The embodiment of the present application provides a sewing machine control system and method, which solves the technical problem that the sewing process is difficult to accurately control in the prior art.

[0026] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0027] It should be noted that the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units need not be limited to those clearly listed steps or units, but can include other steps or modules not clearly listed or inherent to the process, method, product or device.

[0028] Embodiment one

[0029] As shown in Figure 1 The embodiment of the present application provides a sewing machine control method, wherein the method comprises:

[0030] According to the device operation record storage cloud platform, the working process information of the target sewing machine device is extracted;

[0031] The sewing machine is a widely used garment processing device. The traditional sewing machine control system usually adopts mechanical or simple electronic control, which is complex to operate and cannot realize accurate control of the sewing process, resulting in unstable sewing effect and low production efficiency. In addition, the existing sewing machine control system also has problems such as high skill requirement for operators, difficult monitoring and adjustment of the sewing process, etc. Therefore, a sewing machine control method is provided to improve the performance and production efficiency of the sewing machine.

[0032] The device running record storage cloud platform extracts the working process information of the target sewing machine device under various operating conditions, including but not limited to the time, sequence, parameters, etc. of the device start, run, stop, etc. operations, as well as the state, action, position, etc. information of each component of the device during operation. Through the extraction and analysis of these information, the running characteristics of the device can be understood, and the problems in the running process of the device can be found, which provides the basis for the optimization and control of the device.

[0033] According to the working process information, the running device of the target sewing machine device is functionally partitioned to generate N running function areas;

[0034] According to the functions and mutual relationships of each component of the device during operation, the device running device is divided into N function areas. These function areas can cover all main functions of the device during operation, and the functions of each area should be relatively independent to facilitate control and optimization. When performing function partitioning, the main functions and auxiliary functions should be clearly divided to facilitate subsequent control and optimization. By functionally partitioning the running device of the target sewing machine device, the running characteristics and structural features of the device can be better understood, providing a basis for subsequent control and optimization.

[0035] Integrate the history of the target sewing machine device to build target data, and generate a sewing target information library;

[0036] The historical running data, maintenance data, fault data, etc. of the target sewing machine device are integrated to generate a comprehensive sewing target information library. The sewing target information library contains various parameters, performance indicators, running states, etc. of the target sewing machine device, which can be used for analyzing and optimizing the running of the device. By integrating the history of the target sewing machine device to build target data, a sewing target information library is generated, which can better understand the performance and state of the device, and provide a basis for the optimization and control of the device.

[0037] Further, integrating the history of the target sewing machine device to build target data, and generating a sewing target information library, the method comprises:

[0038] Retrieving historical running record data through the device running record storage cloud platform;

[0039] Based on the historical running record data, a simulation run is performed to determine a construction target;

[0040] The construction target is added to the historical construction target data.

[0041] Extracting historical operation record data of the target sewing machine equipment from the equipment operation record storage cloud platform, including the start, run and stop time of the equipment, the state, action, position and other information of each component, as well as the running parameters and performance indicators of the equipment. Simulate the operation of the target sewing machine equipment using the historical operation record data, and determine the construction target through the results and feedback information of the simulation operation. The construction target can be the performance indicators of the equipment such as running efficiency, stability, reliability, accuracy, etc., or other indicators such as operation convenience, maintenance requirements, etc. Add the determined construction target to the historical construction target data generated before. The historical construction target data is a constantly updated data set that contains the construction targets of the target sewing machine equipment at different time periods. Through analysis and comparison of these data, the performance and state changes of the equipment can be better understood, providing basis for optimization and control of the equipment.

[0042] Determine the running target by traversing the sewing target information library, control the N running function areas, and generate a region control efficiency set.

[0043] According to the data and information in the sewing target information library, determine the running target of the target sewing machine equipment. The running target can be the performance indicators of the equipment such as running efficiency, stability, reliability, accuracy, etc., or other indicators such as operation convenience, maintenance requirements, etc. According to the determined running target, control the N running function areas of the target sewing machine equipment, and generate a region control efficiency set. The region control efficiency set refers to the collection of control system efficiency and running efficiency of each running function area, which is used to evaluate and compare the control effect and running effect of different regions. Specifically, analyze each running function area in detail to understand the function, running characteristics, mutual relationship, etc. of each region. According to the characteristics and requirements of each running function area, select appropriate control strategies. For example, for areas that require accurate control, PID control or fuzzy control can be selected; for areas that require fast response, bang-bang control or predictive control can be selected. Based on the selected control strategy, design the control system of each running function area, including selecting appropriate sensors, actuators and control algorithms, etc., and ensuring that the system can effectively monitor and adjust the running state of the region. Collect running data of each running function area under various conditions through the control system. Based on the collected running data, analyze the control efficiency of each region, which can be completed by comparing the actual running effect with the expected target effect, so as to determine the performance of each region. Integrate the control efficiency of each region to form a region control efficiency set.

[0044] Further, determine the running target by traversing the sewing target information library, control the N running function areas, and generate a region control efficiency set, the method comprising:

[0045] determining production article information of a target sewing machine device according to production requirements;

[0046] traversing the sewing target information library as index data to obtain a running target according to the production article information;

[0047] dissolving the running target according to a running function area of the target sewing machine device to generate a plurality of control running areas;

[0048] controlling the N running function areas based on the plurality of control running areas to generate a region control efficiency set.

[0049] According to actual production requirements and plans, the information of articles or products that need to be produced by the target sewing machine device is determined, including the type, specification, quantity, quality requirements, etc. of the articles. The production article information is used as index data to obtain the running target related to the production article information by traversing the sewing target information library. The running target is divided and dissolved according to the running function area of the target sewing machine device to obtain a plurality of control running areas. Each control running area corresponds to one or more running function areas and has corresponding running targets and requirements. According to the requirements and targets of the plurality of control running areas, the N running function areas are controlled and optimized, and a region control efficiency set is generated. The region control efficiency set reflects the running effect and control effect of each control running area, providing a basis for subsequent optimization and control.

[0050] Further, based on the plurality of control running areas, the N running function areas are controlled to generate a region control efficiency set, the method comprising:

[0051] extracting historical control information of the plurality of control running areas;

[0052] determining whether the historical control information meets a preset control threshold, if yes, the historical control information is historical effective control information, the control priority of the historical control information is increased by 1, and the historical control information is added to a control archive;

[0053] if not, the historical control information is historical invalid control information, and the control priority of the historical control information is set to 0;

[0054] controlling the N running function areas according to the control archive to generate a plurality of actual control effects;

[0055] calculating the plurality of actual control effects and a preset theoretical control effect in sequence to generate the region control efficiency set.

[0056] The historical control information related to the plurality of control operation areas is extracted from the historical operation records of the equipment. The historical control information includes historical control data, control strategies, operation states, etc. of each control operation area. The historical control information is compared and analyzed with the preset control threshold value to determine whether the historical control information meets the preset control requirement or threshold value. If the preset control threshold value is met, the historical control information is considered valid, otherwise it is considered invalid. If it is met, the historical control information is historical valid control information, the control priority of the historical control information is increased by 1, and the historical control information is added to the control archive. This means that the historical valid control information is promoted in control priority and added to the control archive of the equipment for subsequent control and optimization. If it is not met, the historical control information is historical invalid control information, and the control priority of the historical control information is set to 0. This means that the historical invalid control information is reduced in control priority and is no longer added to the control archive of the equipment. Based on the historical valid control information in the control archive and the current operation target, the N operation function areas are controlled and a plurality of actual control effects are generated. These actual control effects reflect the actual operation and control effect of each operation function area. Each actual control effect is compared and analyzed with the preset theoretical control effect, the control system efficiency and operation efficiency of each area are calculated, and a set of regional control efficiencies is generated, providing a basis for evaluation and comparison for the optimization and control of the equipment.

[0057] Based on the operation target, the combination of the control method set according to the set of regional control efficiencies is performed to obtain a plurality of control schemes, wherein the control method set and the set of regional control efficiencies have a corresponding relationship.

[0058] First, according to the actual production demand and plan, the operation target of the target sewing machine equipment is determined. Next, the historical operation records of the target sewing machine equipment are analyzed to extract a set of regional control efficiencies. According to the operation target and the set of regional control efficiencies, different control methods are combined to form a plurality of control schemes. These control schemes correspond to different control methods and strategies in the set of regional control efficiencies. For each control scheme, a suitable control method set needs to be selected for combination. The control method set can be a special control method for a specific operation function area, or a general control method applicable to multiple operation function areas. There is a mutual relationship and influence between different operation function areas of the target sewing machine equipment. When combining control methods, the coordination and mutual influence between different areas need to be considered to ensure that the entire system can run smoothly and coordinately. For each combined control method set, the control effect needs to be evaluated and compared based on the set of regional control efficiencies.

[0059] The multiple control schemes are traversed for optimization, and the target sewing machine device is controlled according to the optimal control scheme.

[0060] The multiple control schemes obtained by the previous combination are evaluated and compared one by one, which is completed by analyzing the control effect, performance index, and operation data. In the traversal process, the optimal control scheme is found. The optimal scheme can maximize the satisfaction of the operation target and achieve the best control effect and performance. According to the evaluation results, the optimal control scheme is selected. This optimal scheme is the most suitable for the operation target and regional control efficiency set requirements, which can ensure the performance of the equipment while achieving the best control effect. The selected optimal control scheme is applied to the actual operation of the target sewing machine device. In the implementation process, the running state and feedback information of the equipment need to be closely monitored, and the control scheme needs to be adjusted and optimized as needed to achieve better performance and effect. Through the implementation of the optimal control scheme, the optimization and control of the target sewing machine device can be achieved, and the performance indicators such as the running efficiency, stability, and reliability of the equipment can be improved to meet the actual production needs and plans.

[0061] Further, the multiple control schemes are traversed for optimization, and the target sewing machine device is controlled according to the optimal control scheme, the method comprising:

[0062] The control efficiency of the multiple control schemes is calculated and obtained, and multiple control efficiencies are generated, wherein the multiple control schemes and the multiple control efficiencies are in a one-to-one correspondence;

[0063] The multiple control schemes are serialized according to the multiple control efficiencies, and sequence information is determined;

[0064] The multiple control schemes are weighted calculated according to the sequence information, multiple control parameters with weights are generated, the control efficiency of the multiple control schemes is screened, and the optimal control scheme is generated.

[0065] For each control scheme, its corresponding control efficiency can be obtained by simulating or actually running the device. The control efficiency can be quantified in various performance indicators, such as the running speed of the device, energy consumption, product quality, etc. By corresponding these performance indicators to the control scheme, an evaluation of the control efficiency can be established for each control scheme. According to the corresponding control efficiency of each control scheme, it can be sorted or sequenced. The sequencing process can arrange the control schemes according to their control efficiency, forming an ordered sequence. Through the sequencing process, the efficiency difference between different control schemes can be observed intuitively, and a basis for subsequent weighted calculation is provided. On the basis of the sequencing process, weighted calculation is performed on each control scheme. The weighted calculation can determine the weight of each control scheme according to its relative position in the sequence information. The weight can reflect its importance or degree of excellence in the entire sequence. Through weighted calculation, each control scheme can be assigned a control parameter with a weight. Next, these control parameters with weights are used to screen the optimal efficiency of multiple control schemes. Specifically, the efficiency of each control scheme can be measured according to the size of the weight. The larger the weight, the higher the efficiency of the control scheme, and vice versa. Through such screening, the optimal control scheme can be selected from multiple control schemes.

[0066] Further, the method further comprises:

[0067] setting a maximum adjustment constraint for the control optimal efficiency;

[0068] performing the screening constraint of the multiple control schemes with the maximum adjustment constraint to obtain the optimal control scheme.

[0069] The maximum adjustment constraint for the control optimal efficiency is set to ensure that there is a clear limiting condition when screening the control scheme. The maximum adjustment constraint can be a preset numerical value or threshold value for controlling the adjustment range of the optimal efficiency. By setting the maximum adjustment constraint, over-adjustment or instability in the optimization process can be avoided. According to the previously set sequence information of the multiple control schemes and the maximum adjustment constraint, each control scheme can be evaluated and compared. Specifically, the control efficiency of each control scheme can be calculated and weighted according to its weight. Then, according to the maximum adjustment constraint, the optimal control scheme that meets the constraint condition can be screened out. By setting the maximum adjustment constraint and performing the screening constraint, the optimal control scheme can be more accurately determined.

[0070] In summary, the embodiments of the present application have at least the following technical effects:

[0071] First, the work flow information of the target sewing machine device is extracted from the equipment operation record storage cloud platform. Next, according to the work flow information, the running device of the target sewing machine device is functionally partitioned. After considering factors such as device structure, operation efficiency, and operation demand, the device is divided into N running function areas. In order to better optimize and control the target sewing machine device, the target data is integrated and the target sewing information library is generated. After the running target is determined, the running target of the device is determined by traversing the target sewing information library. Then, the N running function areas are controlled to generate a region control efficiency set. Based on the running target and the region control efficiency set, a control method set is combined. The control method set and the region control efficiency set have a corresponding relationship, and different control methods are used for different region characteristics, so as to obtain multiple control schemes. Finally, the control schemes are optimized to obtain the optimal control scheme. The target sewing machine device is controlled according to the optimal control scheme. The technical problem that the sewing process is difficult to accurately control in the prior art is solved, and the technical effect of automatic control of the sewing process is realized.

[0072] Embodiment two

[0073] Based on the same inventive concept as the sewing machine control method in the foregoing embodiment, as shown in the following embodiment, the present application provides a sewing machine control system, and the system and method embodiments in the present application are based on the same inventive concept. The system comprises: Figure 2

[0074] The extraction module 11, the partition module 12, the construction module 13, the control module 14, the scheme generation module 15, and the optimization module 16.

[0075] The extraction module 11 is used to extract the work flow information of the target sewing machine device from the equipment operation record storage cloud platform;

[0076] The partition module 12 is used to functionally partition the running device of the target sewing machine device according to the work flow information, and generate N running function areas;

[0077] The construction module 13 is used to integrate the target data of the target sewing machine device to construct a target sewing information library;

[0078] The control module 14 is used to traverse the target sewing information library to determine the running target, control the N running function areas, and generate a region control efficiency set;

[0079] ​A scheme generation module 15 is configured to obtain a plurality of control schemes by combining a control method set according to the region control efficiency set based on the operation target, wherein the control method set and the region control efficiency set have a corresponding relationship;

[0080] An optimization module 16 is configured to traverse the plurality of control schemes for optimization, and perform operation control on the target sewing machine device according to an optimal control scheme.

[0081] Further, the construction module 13 is configured to perform the following method:

[0082] The historical operation record data is called through the device operation record storage cloud platform;

[0083] The historical operation record data is simulated to determine a construction target;

[0084] The construction target is added to historical construction target data.

[0085] Further, the control module 14 is configured to perform the following method:

[0086] The production article information of the target sewing machine device is determined according to production requirements;

[0087] The production article information is used as index data to traverse the sewing target information library to obtain an operation target;

[0088] The operation target is disassembled according to the operation function region of the target sewing machine device to generate a plurality of control operation regions;

[0089] The N operation function regions are controlled based on the plurality of control operation regions to generate the region control efficiency set.

[0090] Further, the control module 14 is configured to perform the following method:

[0091] The historical control information of the plurality of control operation regions is extracted;

[0092] It is judged whether the historical control information meets a preset control threshold value. If yes, the historical control information is historical effective control information, the control priority of the historical control information is increased by 1, and the historical control information is added to a control archive;

[0093] If not, the historical control information is historical invalid control information, and the control priority of the historical control information is set to 0;

[0094] The N operation function regions are controlled according to the control archive to generate a plurality of actual control effects;

[0095] sequentially based on the plurality of actual control effects and preset theoretical control effects, to generate the regional control efficiency set.

[0096] Further, the optimization module 16 is configured to perform the following method:

[0097] calculating the control efficiency of the plurality of control schemes to generate a plurality of control efficiencies, wherein the plurality of control schemes and the plurality of control efficiencies are in one-to-one correspondence;

[0098] serializing the plurality of control schemes according to the plurality of control efficiencies to determine sequence information;

[0099] performing weighted calculation on the plurality of control schemes according to the sequence information to generate a plurality of control parameters with weights, performing filtering on the plurality of control schemes to generate the optimal control scheme.

[0100] Further, the optimization module 16 is configured to perform the following method:

[0101] setting a maximum adjustment constraint of the control optimal efficiency;

[0102] performing filtering on the plurality of control schemes with the maximum adjustment constraint to obtain the optimal control scheme.

[0103] It should be noted that the above-mentioned embodiments of the present application are merely for description and do not represent the advantages and disadvantages of the embodiments. The above-mentioned embodiments of the present application are described. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0104] The above-mentioned is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0105] The present specification and drawings are merely exemplary of the present application, and are considered to cover any and all modifications, variations, combinations or equivalents that fall within the scope of the present application. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A sewing machine control system characterized by, The system comprises: An extraction module for extracting workflow information of a target sewing machine device from a device operation record storage cloud platform; A partition module for function partitioning of operation devices of the target sewing machine device according to the workflow information, to generate N operation function areas; A construction module for integrating historical construction target data of the target sewing machine device, to generate a sewing target information library; A control module for determining operation targets by traversing the sewing target information library, to control the N operation function areas and generate a region control efficiency set; A scheme generation module for combining a control method set according to the region control efficiency set based on the operation targets, to obtain multiple control schemes, wherein the control method set and the region control efficiency set have a corresponding relationship; An optimization module for optimizing the multiple control schemes by traversal, to control the target sewing machine device according to an optimal control scheme; The system comprises: A determination module for determining production article information of the target sewing machine device according to production requirements; A traversal module for taking the production article information as index data, to traverse the sewing target information library and obtain operation targets; A disassembly module for disassembling the operation targets according to operation function areas of the target sewing machine device, to generate multiple control operation areas; A region control module for controlling the N operation function areas based on the multiple control operation areas, to generate the region control efficiency set; The system comprises: A historical information extraction module for extracting historical control information of the multiple control operation areas; A judgment module for judging whether the historical control information meets a preset control threshold, wherein if yes, the historical control information is historical effective control information, the control priority of the historical control information is increased by 1, and the historical control information is added to a control archive; if no, the historical control information is historical invalid control information, and the control priority of the historical control information is set to 0; An operation control module for operation control of the N operation function areas according to the control archive, to generate multiple actual control effects; A calculation module for sequentially calculating the multiple actual control effects and a preset theoretical control effect, to generate the region control efficiency set.

2. A sewing machine control system as claimed in claim 1, wherein, The system comprises: A calling module for calling historical operation record data through the device operation record storage cloud platform; Analog running module, used for analog running based on the historical running record data, to determine a construction target; An adding module, used for adding the construction target to historical construction target data.

3. A sewing machine control system as claimed in claim 1, wherein, The system includes: A control efficiency module, used for calculating control efficiencies of multiple control schemes, to generate multiple control efficiencies, wherein the multiple control schemes and the multiple control efficiencies are in a one-to-one correspondence; A serialization module, used for serializing the multiple control schemes according to the multiple control efficiencies, to determine sequence information; A screening module, used for performing weighted calculation on the multiple control schemes according to the sequence information, to generate multiple control parameters with weights, to screen the multiple control schemes for optimal control efficiency, to generate the optimal control scheme.

4. A sewing machine control system as claimed in claim 3, wherein, The system includes: A setting module, used for setting a maximum adjustment constraint for optimal control efficiency; A constraint module, used for performing screening constraint on the multiple control schemes with the maximum adjustment constraint, to obtain the optimal control scheme.

5. A sewing machine control method characterized by, The method is used for implementing the sewing machine control system according to any one of claims 1 to 4, and the method includes: Extracting workflow information of a target sewing machine device from a device running record storage cloud platform; Dividing a running device of the target sewing machine device into N running function areas according to the workflow information; Integrating historical construction target data of the target sewing machine device to generate a sewing target information library; Determining a running target by traversing the sewing target information library, and controlling the N running function areas to generate a region control efficiency set; Combining a control method set according to the region control efficiency set based on the running target, to obtain multiple control schemes, wherein the control method set and the region control efficiency set have a corresponding relationship; Traversing the multiple control schemes for optimization, and performing running control on the target sewing machine device according to the optimal control scheme.

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