Umbrella manufacturing quality optimization method and system based on AI analysis

Abstract

The invention discloses an umbrella manufacturing quality optimization method and system based on AI analysis, and relates to the technical field of quality optimization. Comprising the steps that an auxiliary module and a quality inspection module are set, an auxiliary module set and a quality inspection module set are obtained, and the auxiliary module set and the quality inspection module set at least comprise an auxiliary module item composed of the auxiliary module and the quality inspection module and a quality inspection module item; and carrying out property division on the workers to obtain sewing division items and quality inspection division items. According to the invention, the auxiliary module is set to observe the working state of the sewing personnel, the needle falling positions of the first sewing point and the subsequent sewing point when the sewing personnel sews the umbrella fabric and the umbrella rib are obtained, and the needle falling position of the sewing personnel is determined according to the needle falling positions and the needle falling distance. The laser indicating lamp assembly arranged in the auxiliary simulation device is used for carrying out laser drop point indication on follow-up umbrella rib sewing, and therefore the effect that the needle drop position is always kept uniform in the umbrella fabric sewing process is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of quality optimization, and specifically to a method and system for optimizing the manufacturing quality of umbrellas based on AI analysis. Background Art

[0002] The manufacture of umbrellas involves multiple steps and materials, mainly including material selection, design and molds, umbrella rib production, umbrella surface production, assembly, and inspection and packaging. During the production process of umbrellas, in order to improve product reputation and quality control, it is necessary to optimize the quality of umbrella manufacturing. The quality of umbrella manufacturing can be optimized from multiple aspects, including raw material upgrading, design improvement, process refinement, etc., to improve the overall durability and performance of the umbrella. Therefore, it is very necessary to optimize the quality of umbrella manufacturing.

[0003] A method and device for data-driven control optimization for production quality improvement with a patent publication number of CN118401946A can significantly reduce the chance of recommending overconfident control parameters in practice. Therefore, the reliability of the developed data-driven control strategy for production quality improvement is improved. On the one hand, given control parameters and condition parameters, multiple models can be used to fit the probability distribution of the control result variable, thereby well capturing the uncertainty in the production process and the correlation between the control result variables; on the other hand, a risk factor is added to penalize the control parameter, which has a high risk of providing overconfident recommendations to areas in the production process that are not fully reflected in the historical dataset.

[0004] In the above and similar technical solutions, when the staff manually sews the umbrella surface on the umbrella ribs, due to manual operation, the distance control between the sewing points is not very precise, and even the position of the needle dropping point of the first sewing point will be different, which will cause uneven stress on the overall umbrella surface. Then, these subtle differences cannot be detected through manual inspection during the quality inspection process, resulting in an impact on the service life of the umbrella during subsequent use. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for optimizing the manufacturing quality of umbrellas based on AI analysis to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A method for optimizing the manufacturing quality of umbrellas based on AI analysis, including: Set an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set. The auxiliary module set and the quality inspection module set at least include one auxiliary module item and quality inspection module item composed of an auxiliary module and a quality inspection module; The nature of the staff is classified to obtain the sewing classification items and the quality inspection classification items. The auxiliary module set corresponds to the sewing classification items, and the quality inspection module set corresponds to the quality inspection classification items; Based on the auxiliary module set, obtain the working status of the sewing classification items, and sequentially obtain the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella, to obtain the first position set. The first position set includes at least the needle dropping positions of two sewing points; Based on the first position set, obtain the distance between the needle dropping points to obtain the sewing distance item. When the sewing classification item completes the sewing of the first rib, the auxiliary module set gives a laser indication to the corresponding position of the next rib according to the first position set and the sewing distance item, to obtain the laser indication item; Obtain the identity information of the target umbrella and mark the umbrella to obtain the target marking set. The target marking set includes at least one target marking item composed of the marked umbrellas; Based on the quality inspection module set, obtain the working status of the quality inspection classification items, obtain the target marking set, and conduct a patrol determination on the umbrella to obtain the umbrella surface information of the umbrella, to obtain the umbrella surface information set; Sort the target umbrellas based on the umbrella surface information set to obtain the umbrella surface sorting set, obtain the first umbrella surface information of the umbrella surface sorting set to obtain the target determination item, obtain the target marking item corresponding to the target determination item, and at the same time obtain the first position set and the sewing distance item corresponding to the target marking item to obtain the target position set and the target distance item, and send the target position set and the target distance item to the auxiliary module, thereby achieving the optimization effect of the sewing quality of the umbrella.

[0007] Furthermore, the auxiliary module includes a camera component. The method for obtaining the first position set includes: Based on the camera component, obtain the status information of the sewing classification items. Taking the contact between the sewing classification item and the target umbrella as the first determination initial point, obtain the needle dropping position information when the sewing classification item sews the first rib of the target umbrella based on the first determination initial point to obtain at least two needle dropping position items, and the needle dropping position items are combined to obtain the first position set.

[0008] Furthermore, the auxiliary module further includes a laser indicator component. The method for obtaining the laser indication item includes: Based on the first needle dropping position information in the first position set, obtain the first position item, and based on the auxiliary module, obtain the reference points associated with the first position item to obtain at least two reference position items; Based on the reference position items, obtain the connection path between the first position item and the reference position items, and then obtain the position data between the first position item and the next rib, and obtain the first laser landing point based on the laser indicator component; Based on the sewing distance item, obtain the combined result of the first laser landing point and the reference position items to obtain the second laser landing point, and repeat this step to obtain all the laser landing points, and then obtain the laser indication item.

[0009] Further, the auxiliary module further includes a near-infrared camera assembly, and the method for obtaining the target marker set includes: Based on the near-infrared camera assembly, obtain the pore data of the welding points of the target umbrella ribs to obtain a target pore set, and the target pore set includes at least the pore data of the welding points of two umbrella ribs; Sort the target pore set according to the order of the umbrella ribs of the target umbrella to obtain a pore sorting set; Based on the working order of the sewing division items, assign labels to the target umbrellas corresponding to the pore sorting set, and then obtain the pore data of the welding points corresponding to the corresponding labels to obtain a target marker set.

[0010] Further, the quality inspection module includes a camera assembly, and the method for obtaining the umbrella surface information set includes: The quality inspection module, based on the camera assembly, obtains the status information of the quality inspection division items, and uses the opening of the target umbrella by the quality inspection division items as the second determination starting point; The quality inspection module obtains the umbrella surface fold state of the target umbrella corresponding to the second determination starting point to obtain an umbrella surface determination item, and the umbrella surface determination items are combined to obtain an umbrella surface information set.

[0011] Further, the method for obtaining the umbrella surface sorting set includes: Set the determination of the number of folds and the determination of the depth of folds, and divide them into at least two number-of-folds level items and at least two depth-of-folds level items; Assign scores respectively based on the number-of-folds level items and the depth-of-folds level items; Based on the umbrella surface information set, perform a grade determination on the umbrella to obtain a grade determination item, obtain the corresponding score based on the grade determination item to obtain a target score item, and sort the target score items in ascending order to obtain an umbrella surface sorting set.

[0012] Further, the quality inspection module further includes a near-infrared camera assembly, and based on the infrared camera assembly, obtain the pore data of the umbrella rib welding points corresponding to the target determination item to obtain the corresponding target marker item.

[0013] Further, the method for dividing the sewing division items and the quality inspection division items includes: Obtain the work nature of the staff, divide the work nature into sewing nature and quality inspection nature, and divide the staff based on the sewing nature and the quality inspection nature, and then obtain the sewing division items and the quality inspection division items.

[0014] Further, an umbrella manufacturing quality optimization system based on AI analysis uses the above-mentioned umbrella manufacturing quality optimization method based on AI analysis, and includes: Setting module: Set an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set, classify the nature of the staff to obtain sewing classification items and quality inspection classification items. The auxiliary module set corresponds to the sewing classification items, and the quality inspection module set corresponds to the quality inspection classification items; Calibration module: Based on the auxiliary module set, obtain the working status of the sewing classification items, sequentially obtain the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain a first position set. The first position set includes at least the needle dropping positions of two sewing points. Based on the first position set, obtain the distance between the needle dropping points to obtain a sewing distance item. When the sewing of the first rib is completed for the sewing classification item, the auxiliary module set gives a laser indication to the corresponding position of the subsequent rib according to the first position set and the sewing distance item to obtain a laser indication item; Marking module: Obtain the identity information of the target umbrella and mark the umbrella to obtain a target marking set. The target marking set includes at least one target marking item composed of marked umbrellas; Feedback module: Based on the quality inspection module set, obtain the working status of the quality inspection classification items, obtain the target marking set, and conduct a patrol judgment on the umbrella to obtain the umbrella surface information of the umbrella to obtain an umbrella surface information set. Based on the umbrella surface information set, sort the target umbrellas to obtain an umbrella surface sorting set. Obtain the first umbrella surface information of the umbrella surface sorting set to obtain a target judgment item. Obtain the target marking item corresponding to the target judgment item, and at the same time obtain the first position set and the sewing distance item corresponding to the target marking item to obtain a target position set and a target distance item. Send the target position set and the target distance item to the auxiliary module.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This umbrella manufacturing quality optimization method and system based on AI analysis observes the working status of sewing personnel through a set auxiliary module, obtains the needle dropping positions of the first sewing point and subsequent sewing points when sewing the umbrella surface and ribs, and according to the needle dropping positions and the needle dropping spacing, uses the laser indicator component set inside the auxiliary simulation to give a laser landing point indication for the subsequent rib sewing, thus ensuring that the needle dropping positions are always evenly distributed during the umbrella surface sewing process.

[0016] At the same time, mark the umbrellas sewn by different sewing personnel. When inspecting the quality of the umbrellas, assist in inspecting the umbrellas through the quality inspection module, judge and sort the umbrellas according to the number and depth of the folds of the umbrellas, obtain the corresponding mark of the umbrella with the highest sorting grade, and obtain the needle dropping point position and the needle dropping point distance corresponding to the mark. Send the needle dropping point position and the needle dropping point distance to all auxiliary modules to assist the staff in sewing, thereby realizing the optimization effect of the umbrella sewing quality. Description of the Drawings

[0017] Figure 1Schematic diagram of the overall process of the present invention; Figure 2 Schematic diagram of the process for obtaining the first position set of the present invention; Figure 3 Schematic diagram of the process for obtaining the laser indication item of the present invention; Figure 4 Schematic diagram of the laser indication item of the present invention; Figure 5 Schematic diagram of the porosity data of the umbrella rib welding points of the present invention. Detailed implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] During the umbrella manufacturing process, manual sewing relies on the experience and skills of workers. Although experienced workers can minimize errors as much as possible, absolute uniformity and precision are difficult to guarantee. The position of each stitch and the spacing between sewing points are subject to human factors. Such interference may come from worker fatigue, visual errors, or even mood swings. Even tiny deviations, when accumulated, can lead to uneven stress on the entire umbrella surface. Secondly, the difference in the position of the first sewing point cannot be ignored either. The connection between the umbrella surface and the umbrella ribs starts from the first sewing point, and the position of this point determines the overall tension distribution of the umbrella surface. If the position of the first sewing point deviates, the entire umbrella surface will be affected, resulting in an uneven appearance when the umbrella is unfolded. This unevenness not only affects aesthetics but, more importantly, causes uneven stress on the umbrella surface during use. The deviation of the first sewing point also affects the stress on the umbrella ribs, which may lead to deformation or breakage of the umbrella ribs, thereby shortening the overall lifespan of the umbrella. Moreover, the limitations of manual inspection in the quality inspection process further exacerbate the problem. Although quality inspectors will carefully check the quality of each umbrella, it is difficult to detect the tiny distance differences between sewing points and the subtle position deviations of the first sewing point with the naked eye. These subtle differences are often hidden in the patterns of the umbrella surface and are difficult to notice. However, a method for optimizing the quality of umbrella manufacturing based on AI analysis provided in this application observes the working state of sewing workers through a set auxiliary module, obtains the needle dropping positions of the first sewing point and subsequent sewing points when sewing the umbrella surface and umbrella ribs, and based on the needle dropping positions and needle dropping spacings, uses a laser indicator component set inside the auxiliary simulation to indicate the laser dropping points for subsequent umbrella rib sewing, thereby ensuring that the needle dropping positions during the umbrella surface sewing process always maintain a uniform effect. At the same time, umbrellas sewn by different sewing workers are marked. When conducting quality inspection on umbrellas, the quality inspection module is used to assist in the quality inspection. Based on the number and depth of wrinkles on the umbrella, the grade of the umbrella is determined and sorted, the label corresponding to the umbrella with the highest sorted grade is obtained, and the needle dropping point position and needle dropping point distance corresponding to the label are obtained. The needle dropping point position and needle dropping point distance are sent to all auxiliary modules to assist the workers in sewing, thus achieving the effect of optimizing the quality of umbrella sewing, as Figure 1 shown, including steps S100 - S800.

[0020] Step S100: Set the auxiliary module and the quality inspection module to obtain the auxiliary module set and the quality inspection module set.

[0021] It should be noted that the auxiliary module set and the quality inspection module set each include at least one auxiliary module item and quality inspection module item composed of an auxiliary module and a quality inspection module. Both the auxiliary module set and the quality inspection module set are composed of integrated multifunctional AI devices, and the number of each is at least one.

[0022] Step S200: Classify the staff according to their natures to obtain sewing classification items and quality inspection classification items.

[0023] It should be noted that the auxiliary module set corresponds to the sewing classification items, and the quality inspection module set corresponds to the quality inspection classification items. The classification methods for the sewing classification items and the quality inspection classification items include: obtaining the work natures of the staff, which are divided into sewing nature and quality inspection nature, and then classifying the staff based on the sewing nature and the quality inspection nature to obtain the sewing classification items and the quality inspection classification items. Since within the same factory, some staff are responsible for sewing work and some are responsible for quality inspection work. For example, within a factory, 10 people are responsible for sewing the umbrella surface and 2 people are responsible for quality inspection. At this time, according to the work natures of the staff, the 10 people responsible for sewing the umbrella surface are classified into the sewing classification items, and the 2 people responsible for quality inspection are classified into the quality inspection classification items. At this time, the auxiliary module set consists of 10 auxiliary module items, and the quality inspection module set consists of 2 quality inspection module items.

[0024] Step S300: Obtain the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain the first position set.

[0025] It should be noted that as Figure 2 shown, the first position set includes at least the needle dropping positions of two sewing points. The auxiliary module includes a camera component. The obtaining method of the first position set includes: based on the camera component, obtaining the status information of the sewing classification items. Since the sewing classification items represent each sewing staff, the status information of each sewing staff can be obtained through the camera component, such as working, resting, etc. At this time, taking the contact of the sewing classification item with the target umbrella as the first determination starting point, obtain the needle dropping position information when the sewing classification item sews the first rib of the target umbrella based on the first determination starting point to obtain at least two needle dropping position items, and the needle dropping position items are combined to obtain the first position set.

[0026] Specifically, when the sewing staff contacts the umbrella, take this as the first determination starting point, and obtain the needle dropping position information when the sewing staff starts sewing the first rib. When three sewings are performed on the first rib, the needle dropping position items are three at this time, and they are combined into the first position set. Embodiment 1

[0027] In a specific implementation process, there is currently a worker A in a factory sewing the umbrella surface and the umbrella ribs. At this time, an auxiliary module item is set beside the worker A. The auxiliary module includes a camera component. The status information of the worker A is obtained through the camera component. When the worker A touches the umbrella to be sewn, this time is set as the first determination starting point, and the needle dropping position when the worker A sews the first umbrella rib is obtained. It is obtained that the worker sews the first umbrella rib at a total of three positions, namely at positions a, b, and c. At this time, the needle dropping position item is three.

[0028] Step S400: Obtain the needle dropping point spacing based on the first position set to obtain the sewing distance item. After the sewing division item completes the sewing of the first umbrella rib, the auxiliary module set gives a laser indication to the corresponding position of the subsequent umbrella rib according to the first position set and the sewing distance item to obtain the laser indication item.

[0029] It should be noted that as Figure 3 shown, the auxiliary module also includes a laser indicator component. The method for obtaining the laser indication item includes: obtaining the first position item based on the first needle dropping position information in the first position set, obtaining at least two reference position items based on the auxiliary module to obtain the reference points associated with the first position item. Through two reference points associated with the first position item, the specific position information of the first position item can be determined; based on the reference position items, obtain the connection path between the first position item and the reference position items, and then obtain the position data between the first position item and the subsequent umbrella rib. Based on the laser indicator component, obtain the first laser landing point; obtain the combined result of the first laser landing point and the reference position items based on the sewing distance item to obtain the second laser landing point. Repeat this step to obtain all the laser landing points, and then obtain the laser indication item. Embodiment 2

[0030] In a specific implementation process, as Figure 4 at this time, there is currently a worker B in a factory sewing the umbrella surface and the umbrella ribs, and a total of three sewings are made, namely a, aa, and aaa. The spacing between the three positions is 5 cm. The first position information when the worker B sews the first umbrella rib is obtained to obtain the first position item a. The two reference points associated with the first position item a are obtained as the keel welding point b and the keel hinge point c. At this time, the reference position items are b and c. Obtain the connection paths between a and b and between a and c respectively. The distance ab is 5 cm, and the distance ac is 10 cm. Then obtain the position data between the first position item and the subsequent umbrella rib. At this time, the laser indicator component can make a landing point according to the positions of b and c to obtain the first laser landing point. At this time, the sewing distance item is 5 cm. Obtain the combined results of the first laser landing point and b and c respectively based on the sewing distance item to obtain the second laser landing point, which is the position of aa. Repeat the steps to obtain the third laser landing point, which is the position of aaa, and then obtain the laser indication item.

[0031] Step S500: Obtain the identity information of the target umbrella, mark the umbrella, and obtain the target marking set.

[0032] It should be noted that the target marking set includes at least one target marking item composed of a marked umbrella. The auxiliary module further includes a near-infrared camera component. The method for obtaining the target marking set includes: Based on the near-infrared camera component, obtain the porosity data of the welding points of the ribs of the target umbrella to obtain the target porosity set. The target porosity set includes at least the porosity data of the welding points of two ribs; According to the rib order of the target umbrella, sort the target porosity set to obtain the porosity sorting set; Based on the working order of the sewing division items, assign labels to the target umbrella corresponding to the porosity sorting set, and then obtain the porosity data of the welding points corresponding to the corresponding labels to obtain the target marking set. Embodiment III

[0033] In the specific implementation process, as Figure 5 shown, when the sewing division item sews the ribs and the umbrella surface, there are a total of six ribs of the target umbrella. At this time, the target porosity set is composed of the porosity data of the welding points of six ribs. The porosity data of the welding points of the ribs are obtained through a near-infrared camera, which are 0.13mm, 0.32mm, 0.22mm, 0.14mm, 0.21mm, and 0.14mm respectively to obtain the target porosity set. At this time, sort the target porosity set according to the rib order of the umbrella, and the sorting result is: 0.13mm--0.32mm--0.22mm--0.14mm--0.21mm--0.14mm; And this target umbrella is the first working target of the sewing division item. Then, assign a label to this target umbrella, which is 1, and then obtain the target marking set.

[0034] Step S600: Based on the quality inspection module set, obtain the working status of the quality inspection division item, obtain the target marking set, and conduct a patrol judgment on the umbrella to obtain the umbrella surface information of the umbrella to obtain the umbrella surface information set.

[0035] It should be noted that the quality inspection module includes a camera component. The method for obtaining the umbrella surface information set includes: The quality inspection module, based on the camera component, obtains the status information of the quality inspection division item. Taking the opening of the target umbrella by the quality inspection division item as the second judgment starting point, when the quality inspection division item needs to conduct quality inspection on the umbrella, the umbrella needs to be opened for inspection. At this time, take the moment of opening the target umbrella as the second judgment starting point; The quality inspection module obtains the umbrella surface wrinkling state of the target umbrella corresponding to the second judgment starting point to obtain the umbrella surface judgment item. The umbrella surface judgment items are combined to obtain the umbrella surface information set. When three umbrellas are inspected, the number of umbrella surface judgment items is three at this time, that is, the umbrella surface information set is composed of three umbrella surface judgment items.

[0036] Step S700: Sort the target umbrellas based on the umbrella surface information set to obtain an umbrella surface sorting set.

[0037] It should be noted that the method for obtaining the umbrella surface sorting set includes: setting the determination of the number of pleats level and the determination of the pleat depth level, dividing them into three number-of-pleats level items and three pleat-depth level items, namely slight, medium, and severe. Among them, the number-of-pleats level items corresponding to slight, medium, and severe are ≤ 3 pieces, 4 - 6 pieces, and ≥ 7 pieces respectively, and the pleat-depth level items corresponding to slight, medium, and severe are ≤ 0.5 mm, 0.6 - 1.2 mm, and ≥ 1.3 mm respectively; assign scores respectively based on the number-of-pleats level items and the pleat-depth level items. Among them, the scores assigned to slight, medium, and severe are 1, 2, and 3 points respectively; based on the umbrella surface information set, determine the level of the umbrella to obtain a level determination item, obtain the corresponding score based on the level determination item to get a target score item, and sort the target score items in ascending order to obtain an umbrella surface sorting set. Embodiment 4

[0038] In the specific implementation process, three umbrellas have been inspected and numbered 1 - 3 respectively. Among them, the number of pleats of umbrella No. 1 is 2, and the total pleat depth is 0.7 mm. At this time, the corresponding score of this umbrella is 3 points. The number of pleats of umbrella No. 2 is 3, and the total pleat depth is 0.4 mm. At this time, the corresponding score of this umbrella is 2 points. The number of pleats of umbrella No. 3 is 6, and the total pleat depth is 0.3 mm. At this time, the corresponding score of this umbrella is 4 points. Then, the target score items of umbrellas No. 1 - 3 are obtained respectively, and sorted in ascending order according to the target score items to obtain an umbrella surface sorting set, that is, No. 2 > No. 1 > No. 3.

[0039] Step S800: Obtain the first position set and the sewing distance item corresponding to the umbrella surface information at the head of the umbrella surface sorting set, and send them to the auxiliary module.

[0040] It should be noted that obtain the umbrella surface information at the head of the umbrella surface sorting set to get a target determination item, obtain the target marking item corresponding to the target determination item. Since the quality inspection module also includes a near-infrared camera component, obtain the air hole data of the umbrella rib welding points corresponding to the target determination item based on the infrared camera component to get the corresponding target marking item. At the same time, obtain the first position set and the sewing distance item corresponding to the target marking item to get a target position set and a target distance item, and send the target position set and the target distance item to the auxiliary module, thereby realizing the optimization effect of the sewing quality of the umbrella.

[0041] An umbrella manufacturing quality optimization system based on AI analysis, which uses the above-mentioned umbrella manufacturing quality optimization method based on AI analysis, includes: a setting module: setting an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set, classifying the staff to obtain a sewing classification item and a quality inspection classification item, the auxiliary module set corresponding to the sewing classification item, and the quality inspection module set corresponding to the quality inspection classification item; a calibration module: obtaining the working state of the sewing classification item based on the auxiliary module set, successively obtaining the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain a first position set, the first position set including at least the needle dropping positions of two sewing points, obtaining the needle dropping point spacing based on the first position set to obtain a sewing distance item, when the sewing classification item completes the sewing of the first rib, the auxiliary module set gives a laser indication to the corresponding position of the next rib according to the first position set and the sewing distance item to obtain a laser indication item; a marking module: obtaining the identity information of the target umbrella and marking the umbrella to obtain a target marking set, the target marking set including at least one target marking item composed of the marked umbrellas; a feedback module: obtaining the working state of the quality inspection classification item based on the quality inspection module set, obtaining the target marking set, and performing a patrol determination on the umbrella to obtain the umbrella surface information of the umbrella to obtain an umbrella surface information set, sorting the target umbrellas based on the umbrella surface information set to obtain an umbrella surface sorting set, obtaining the first umbrella surface information of the umbrella surface sorting set to obtain a target determination item, obtaining the target marking item corresponding to the target determination item, and simultaneously obtaining the first position set and the sewing distance item corresponding to the target marking item to obtain a target position set and a target distance item, and sending the target position set and the target distance item to the auxiliary module.

[0042] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An umbrella manufacturing quality optimization method based on AI analysis, comprising: Setting an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set. The auxiliary module set and the quality inspection module set each include at least one auxiliary module item and quality inspection module item composed of an auxiliary module and a quality inspection module; Classifying the nature of the staff to obtain a sewing classification item and a quality inspection classification item. The auxiliary module set corresponds to the sewing classification item, and the quality inspection module set corresponds to the quality inspection classification item; It is characterized in that: Based on the auxiliary module set, obtain the working state of the sewing classification item, and sequentially obtain the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain a first position set. The first position set includes at least the needle dropping positions of two sewing points; Based on the first position set, obtain the distance between the needle dropping points to obtain a sewing distance item. When the sewing classification item completes the sewing of the first rib, the auxiliary module set gives a laser indication to the corresponding position of the subsequent rib according to the first position set and the sewing distance item to obtain a laser indication item; Obtain the identity information of the target umbrella, mark the umbrella to obtain a target marking set. The target marking set includes at least one target marking item composed of a marked umbrella; Based on the quality inspection module set, obtain the working state of the quality inspection classification item, obtain the target marking set, and conduct a patrol determination on the umbrella to obtain the umbrella surface information of the umbrella to obtain an umbrella surface information set; Sort the target umbrellas based on the umbrella surface information set to obtain an umbrella surface sorting set, obtain the first umbrella surface information of the umbrella surface sorting set to obtain a target determination item, obtain the target marking item corresponding to the target determination item, and at the same time obtain the first position set and the sewing distance item corresponding to the target marking item to obtain a target position set and a target distance item, and send the target position set and the target distance item to the auxiliary module, thereby achieving the optimization effect of the sewing quality of the umbrella.

2. The quality optimization method for umbrella manufacturing based on AI analysis according to claim 1, characterized in that: The auxiliary module includes a camera component. The method for obtaining the first position set includes: Based on the camera component, obtain the status information of the sewing classification item. Taking the contact of the sewing classification item with the target umbrella as the first determination starting point, obtain the needle dropping position information when the sewing classification item sews the first rib of the target umbrella based on the first determination starting point to obtain at least two needle dropping position items, and the needle dropping position items are combined to obtain the first position set.

3. An umbrella manufacturing quality optimization method based on AI analysis according to claim 1, characterized in that: The auxiliary module further includes a laser indicator component. The method for obtaining the laser indication item includes: Based on the first needle dropping position information in the first position set, obtain a first position item, and based on the auxiliary module, obtain the alignment points associated with the first position item to obtain at least two alignment position items; Based on the alignment position items, obtain the connection path between the first position item and the alignment position items, and then obtain the position data between the first position item and the subsequent rib. Based on the laser indicator component, obtain the first laser landing point; Based on the sewing distance item, obtain the combined result of the first laser landing point and the alignment position items to obtain the second laser landing point. Repeat this step to obtain all the laser landing points, and then obtain the laser indication item.

4. A method for optimizing the manufacturing quality of umbrellas based on AI analysis according to claim 1, characterized in that: The auxiliary module further includes a near-infrared camera component. The method for obtaining the target marking set includes: Based on the near-infrared camera component, obtain the porosity data of the welding points of the target umbrella ribs to obtain a target porosity set, and the target porosity set includes at least the porosity data of the welding points of two ribs. Sort the target porosity set according to the rib order of the target umbrella to obtain a sorted porosity set. Based on the working order of the sewing division items, assign labels to the target umbrellas corresponding to the sorted porosity set, and then obtain the porosity data of the welding points corresponding to the corresponding labels to obtain a target label set.

5. The quality optimization method for umbrella manufacturing based on AI analysis according to claim 1, wherein: The quality inspection module includes a camera component, and the method for obtaining the umbrella surface information set includes: The quality inspection module, based on the camera component, obtains the status information of the quality inspection division item, and uses the opening of the target umbrella by the quality inspection division item as the second determination starting point. The quality inspection module obtains the umbrella surface fold state of the target umbrella corresponding to the second determination starting point to obtain an umbrella surface determination item, and the umbrella surface determination items are combined to obtain an umbrella surface information set.

6. The quality optimization method for umbrella manufacturing based on AI analysis according to claim 1, characterized in that: The method for obtaining the umbrella surface sorted set includes: Set the determination of the number of folds level and the determination of the depth of folds level, and divide them into at least two number of folds level items and at least two depth of folds level items. Assign scores respectively based on the number of folds level items and the depth of folds level items. Based on the umbrella surface information set, conduct a grade determination on the umbrella to obtain a grade determination item, obtain the corresponding score based on the grade determination item to obtain a target score item, and sort the target score items in ascending order to obtain an umbrella surface sorted set.

7. A method for optimizing the manufacturing quality of umbrellas based on AI analysis according to claim 1, characterized in that: The quality inspection module further includes a near-infrared camera component, and based on the infrared camera component, obtains the porosity data of the rib welding points corresponding to the target determination item to obtain the corresponding target label item.

8. The quality optimization method for umbrella manufacturing based on AI analysis according to claim 1, characterized in that: The division methods of the sewing division item and the quality inspection division item include: Obtain the work nature of the staff, and the work nature is divided into sewing nature and quality inspection nature. Divide the staff based on the sewing nature and the quality inspection nature, and then obtain the sewing division item and the quality inspection division item.

9. An umbrella manufacturing quality optimization system based on AI analysis, characterized in that: Use an umbrella manufacturing quality optimization method according to any one of claims 1-8, including: Setting module: Set an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set, divide the nature of the staff to obtain a sewing division item and a quality inspection division item, the auxiliary module set corresponds to the sewing division item, and the quality inspection module set corresponds to the quality inspection division item. Calibration module: Based on the auxiliary module set, obtain the working status of the sewing division item, sequentially obtain the needle dropping positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain a first position set, and the first position set includes at least the needle dropping positions of two sewing points. Obtain the needle dropping point spacing based on the first position set to obtain a sewing distance item. When the sewing division item completes the sewing of the first rib, the auxiliary module set gives a laser indication to the corresponding position of the subsequent rib according to the first position set and the sewing distance item to obtain a laser indication item. Marking module: Obtain the identity information of the target umbrella and mark the umbrella to obtain a target mark set, and the target mark set includes at least one target mark item composed of the marked umbrellas. Feedback module: Based on the quality inspection module set, obtain the working status of the quality inspection classification items, obtain the target marker set, conduct a patrol determination on the umbrella, obtain the umbrella surface information of the umbrella, obtain the umbrella surface information set, sort the target umbrellas based on the umbrella surface information set to obtain the umbrella surface sorting set, obtain the first umbrella surface information in the umbrella surface sorting set to obtain the target determination item, obtain the target marker item corresponding to the target determination item, and at the same time obtain the first position set and the sewing distance item corresponding to the target marker item to obtain the target position set and the target distance item, and send the target position set and the target distance item to the auxiliary module.

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