An umbrella manufacturing quality optimization method and system based on AI analysis

Abstract

The present invention discloses an umbrella manufacturing quality optimization method and system based on AI analysis, which relates to the field of quality optimization technology. It includes: setting an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set, wherein the auxiliary module set and the quality inspection module set at least include an auxiliary module item and a quality inspection module item composed of an auxiliary module and a quality inspection module; dividing the staff into different types to obtain sewing items and quality inspection items. The present invention observes the working status of the sewing personnel by setting an auxiliary module, obtains the needle drop position of the first sewing point and the subsequent sewing points when the sewing personnel sew the umbrella cover and the umbrella ribs, and according to the needle drop position and the needle drop spacing, the laser indicator light component set inside the auxiliary simulation is used to indicate the laser drop point of the subsequent umbrella rib sewing, thereby ensuring that the needle drop position always remains uniform during the sewing of the umbrella cover.

Description

Technical Field

[0001] The present invention relates to the technical field of quality optimization, and in particular to an umbrella manufacturing quality optimization method and system based on AI analysis. Background Art

[0002] Umbrella manufacturing involves multiple steps and materials, mainly including material selection, design and mold, rib production, umbrella cover production, assembly, inspection and packaging. During the umbrella production process, in order to improve product reputation and quality control, it is necessary to optimize the quality of umbrella manufacturing. Optimizing the quality of umbrella manufacturing can start from multiple aspects, including raw material upgrades, design improvements, 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] The method and apparatus for data-driven control optimization for production quality improvement, patent publication number CN118401946A, can significantly reduce the chance of overconfident control parameter recommendations in practice. This improves the reliability of the developed data-driven control strategy for production quality improvement. On the one hand, given control parameters and conditional parameters, multiple models can be used to fit the probability distribution of control outcome variables, thereby effectively capturing the uncertainty in the production process and the correlation between control outcome variables. On the other hand, a risk factor is added to penalize control parameters that carry a high risk of providing overconfident recommendations for areas of 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 cover to the umbrella ribs, due to manual operation, the distance between the sewing points is not very accurate, and even the position of the needle drop point of the first sewing point may be different, which will lead to uneven force on the entire umbrella cover. These subtle differences cannot be detected by manual inspection during the quality inspection process, which will affect the service life of the umbrella during subsequent use. Summary of the Invention

[0005] The purpose of the present invention is to provide an umbrella manufacturing quality optimization method and system based on AI analysis to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for optimizing umbrella manufacturing quality based on AI analysis, comprising:

[0007] An auxiliary module and a quality inspection module are set to obtain an auxiliary module set and a quality inspection module set, wherein the auxiliary module set and the quality inspection module set at least include an auxiliary module item and a quality inspection module item consisting of the auxiliary module and the quality inspection module;

[0008] The staff members are divided into categories according to their nature to obtain sewing categories and quality inspection categories. The auxiliary module sets correspond to the sewing categories, and the quality inspection module sets correspond to the quality inspection categories.

[0009] Obtaining the working status of the sewing division item based on the auxiliary module set, sequentially obtaining the needle drop 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 the needle drop positions of at least two sewing points;

[0010] Based on the first position set, the needle drop point spacing is obtained to obtain a sewing distance item. When the sewing division item completes the sewing of the first rib, the auxiliary module set performs laser indication on the corresponding position of the sequential rib according to the first position set and the sewing distance item to obtain a laser indication item.

[0011] Obtain the identity information of the target umbrella, mark the umbrella, and obtain a target mark set, wherein the target mark set includes at least one target mark item consisting of a marked umbrella;

[0012] Based on the quality inspection module set, the working status of the quality inspection division item is obtained, the target mark set is obtained, and the umbrella is inspected and judged to obtain the umbrella surface information, thereby obtaining the umbrella surface information set;

[0013] The target umbrellas are sorted based on the umbrella surface information set to obtain an umbrella surface sorting set, the first umbrella surface information of the umbrella surface sorting set is obtained, the target judgment item is obtained, the target marking item corresponding to the target judgment item is obtained, and the first position set and sewing distance item corresponding to the target marking item are obtained at the same time, and the target position set and target distance item are obtained. The target position set and target distance item are sent to the auxiliary module, thereby achieving the optimization effect of the umbrella sewing quality.

[0014] Furthermore, the auxiliary module includes a camera component, and the method for obtaining the first position set includes:

[0015] Based on the camera assembly, status information of the sewing division item is obtained, and the contact of the sewing division item with the target umbrella is used as the first determination initial point. The needle drop position information when the sewing division item is used to sew the first rib of the target umbrella based on the first determination initial point is obtained, and at least two needle drop position items are obtained. The needle drop position items are combined to obtain a first position set.

[0016] Furthermore, the auxiliary module further includes a laser indicator light component, and the method for obtaining the laser indicator item includes:

[0017] Based on the first needle drop position information in the first position set, a first position item is obtained, and based on the auxiliary module, a marking point associated with the first position item is obtained to obtain at least two marking position items;

[0018] Based on the reference position item, a connection path between the first position item and the reference position item is obtained, thereby obtaining position data of the first position item and the sequential rib, and obtaining a first laser landing point based on the laser indicator light assembly;

[0019] Based on the sewing distance item, a combination result of the first laser landing point and the marking position item is obtained to obtain the second laser landing point. This step is repeated to obtain all laser landing points, and then the laser indication item is obtained.

[0020] Furthermore, the auxiliary module further includes a near-infrared camera component, and the method for acquiring the target marker set includes:

[0021] Acquire the pore data of the welding points of the target umbrella ribs based on a near-infrared camera assembly to obtain a target pore set, wherein the target pore set includes the pore data of the welding points of at least two umbrella ribs;

[0022] According to the rib sequence of the target umbrella, the target pore set is sorted to obtain a pore sorting set;

[0023] Based on the working order of the sewing division items, the target umbrellas corresponding to the pore sorting set are labeled, and then the pore data of the welding points corresponding to the corresponding labels are obtained to obtain the target labeling set.

[0024] Furthermore, the quality inspection module includes a camera component, and the method for obtaining the umbrella surface information set includes:

[0025] The quality inspection module obtains status information of the quality inspection item based on the camera component, and takes the quality inspection item "opening the target umbrella" as the second determination starting point;

[0026] The quality inspection module obtains the wrinkle state of the target umbrella surface corresponding to the second determination initial point, obtains an umbrella surface determination item, and combines the umbrella surface determination items to obtain an umbrella surface information set.

[0027] Furthermore, the method for obtaining the umbrella surface sorting set includes:

[0028] Setting the fold quantity level determination and the fold depth level determination, which are divided into at least two fold quantity level items and at least two fold depth level items;

[0029] Scores are assigned based on the fold quantity grade item and the fold depth grade item;

[0030] Based on the umbrella surface information set, the umbrellas are graded to obtain grade determination items, corresponding scores are obtained based on the grade determination items to obtain target score items, and based on the target score items, they are sorted in ascending order to obtain an umbrella surface sorting set.

[0031] Furthermore, the quality inspection module also includes a near-infrared camera component, which obtains the pore data of the rib welding points corresponding to the target judgment item based on the infrared camera component to obtain the corresponding target mark item.

[0032] Furthermore, the method for dividing the sewing items and the quality inspection items includes:

[0033] The nature of the work of the staff is obtained. The nature of the work is divided into sewing nature and quality inspection nature. The staff are divided based on the sewing nature and quality inspection nature, and then the sewing division items and quality inspection division items are obtained.

[0034] Furthermore, an umbrella manufacturing quality optimization system based on AI analysis uses the umbrella manufacturing quality optimization method based on AI analysis described above, including:

[0035] 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 staff into categories, obtain sewing categories and quality inspection categories, the auxiliary module set corresponds to the sewing categories, and the quality inspection module set corresponds to the quality inspection categories;

[0036] Calibration module: Based on the auxiliary module set, the working status of the sewing division item is obtained, and the needle drop positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella are obtained in sequence to obtain a first position set. The first position set includes the needle drop positions of at least two sewing points. Based on the first position set, the distance between the needle drop points is obtained to obtain a sewing distance item. When the sewing division item completes the sewing of the first rib, the auxiliary module set uses the first position set and the sewing distance item to perform laser indication at the corresponding position of the subsequent rib to obtain a laser indication item.

[0037] Marking module: obtains the identity information of the target umbrella, marks the umbrella, and obtains a target marking set. The target marking set includes at least one target marking item consisting of a marked umbrella;

[0038] Feedback module: obtains the working status of the quality inspection division item based on the quality inspection module set, obtains the target mark set, and inspects and judges the umbrella, obtains the umbrella surface information of the umbrella, obtains the umbrella surface information set, sorts the target umbrella based on the umbrella surface information set, obtains the umbrella surface sorting set, obtains the first umbrella surface information of the umbrella surface sorting set, obtains the target judgment item, obtains the target mark item corresponding to the target judgment item, and simultaneously obtains the first position set and sewing distance item corresponding to the target mark item, obtains the target position set and target distance item, and sends the target position set and target distance item to the auxiliary module.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] This umbrella manufacturing quality optimization method and system based on AI analysis observes the working status of the sewing personnel by setting an auxiliary module, obtains the needle drop positions of the first sewing point and subsequent sewing points when the sewing personnel are sewing the umbrella cover and the umbrella ribs, and according to the needle drop position and needle drop spacing, uses the laser indicator light component set inside the auxiliary simulation to indicate the laser drop point of the subsequent umbrella rib sewing, thereby ensuring that the needle drop position always remains uniform during the umbrella cover sewing process.

[0041] At the same time, the umbrellas sewn by different sewing personnel are marked. When the umbrellas are quality inspected, the umbrellas are assisted in quality inspection through the quality inspection module. The umbrellas are graded and ranked according to the number and depth of wrinkles. The corresponding mark of the umbrella with the highest ranking is obtained, and the needle drop point position and needle drop point distance of the corresponding mark are obtained. The needle drop point position and needle drop point distance are sent to all auxiliary modules to assist the staff in sewing, thereby achieving the optimization effect of the umbrella sewing quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0043] Figure 2 A schematic diagram of a first position set acquisition process of the present invention;

[0044] Figure 3 A schematic diagram of a laser instruction item acquisition process of the present invention;

[0045] Figure 4 This is a schematic diagram of the laser indicator of the present invention;

[0046] Figure 5 This is a schematic diagram of the air hole data at the welding points of the umbrella ribs of the present invention. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] In the umbrella manufacturing process, hand sewing relies on the workers' experience and skills. Although experienced workers can reduce errors as much as possible, absolute uniformity and precision are difficult to guarantee. The position of each needle drop and the spacing between sewing points will be affected by human factors. This interference may come from the worker's fatigue, visual errors, or even mood swings. Even small deviations will accumulate and lead to uneven force on the entire umbrella surface. Secondly, the difference in the position of the needle drop point of the first sewing point should not be ignored. The connection between the umbrella surface and the ribs starts at the first sewing point. 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 unevenness when the umbrella surface is unfolded. This unevenness not only affects the appearance, but more importantly, it will cause uneven force on the umbrella surface during use. The deviation of the first sewing point will also affect the force on the ribs, which may cause the ribs to deform or break, thereby shortening the overall life of the umbrella. Furthermore, the limitations of manual inspection in the quality inspection link further aggravate the severity of the problem. Although quality inspectors will carefully check the quality of each umbrella, it is difficult to detect with the naked eye. The slight distance difference between the sewing points and the slight position deviation of the first sewing point are often hidden in the texture of the umbrella surface and are difficult to be detected. The present application provides an umbrella manufacturing quality optimization method based on AI analysis. By setting an auxiliary module to observe the working status of the sewing personnel, the needle drop position of the first sewing point and the subsequent sewing points when the sewing personnel are sewing the umbrella surface and the umbrella ribs is obtained, and according to the needle drop position and the needle drop spacing, the laser indicator light component set inside the auxiliary simulation is used to indicate the laser drop point of the subsequent umbrella rib sewing, thereby ensuring the quality of the umbrella. It proves that the needle drop position in the process of sewing the umbrella surface always maintains a uniform effect. At the same time, the umbrellas sewn by different sewing personnel are marked. When the umbrellas are inspected, the umbrellas are assisted in quality inspection through the quality inspection module. According to the number and depth of the folds of the umbrellas, the umbrellas are graded and ranked. The corresponding mark of the umbrella with the highest ranking is obtained, and the needle drop point position and needle drop point distance of the corresponding mark are obtained. The needle drop point position and needle drop point distance are sent to all auxiliary modules to assist the staff in sewing, thereby achieving the optimization effect of the umbrella sewing quality. Figure 1 As shown, steps S100-S800 are included.

[0049] Step S100: setting an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set.

[0050] It should be noted that the auxiliary module set and the quality inspection module set include at least one auxiliary module item and one quality inspection module item consisting 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 there is at least one of each.

[0051] Step S200: Classify the workers by their nature to obtain sewing classification items and quality inspection classification items.

[0052] It should be noted that the auxiliary module set corresponds to the sewing division item, and the quality inspection module set corresponds to the quality inspection division item. The division method of the sewing division item and the quality inspection division item includes: obtaining the nature of the staff's work, dividing the nature of the work into sewing nature and quality inspection nature, and dividing the staff based on the sewing nature and quality inspection nature, and then obtaining the sewing division item and the quality inspection division item. Since in the same factory, some staff are responsible for sewing work and some staff are responsible for quality inspection work, for example, in a factory, there are 10 people responsible for sewing umbrella surfaces and 2 people responsible for quality inspection. At this time, according to the nature of the staff's work, the staff are divided, and the 10 people responsible for sewing umbrella surfaces are divided into the sewing division item, and the 2 people responsible for quality inspection are divided into the quality inspection division item. 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.

[0053] Step S300: obtaining the needle drop positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella to obtain a first position set.

[0054] It should be noted that if Figure 2 As shown, the first position set includes at least the needle drop positions of two sewing points, the auxiliary module includes a camera assembly, and the method for obtaining the first position set includes: based on the camera assembly, obtaining the status information of the sewing division items. Since the sewing division items represent each sewing personnel, the status information of each sewing personnel can be obtained through the camera assembly, such as working, resting, etc. At this time, the sewing division item contacts the target umbrella as the first judgment initial point, and the needle drop position information when the sewing division item is sewn to the first rib of the target umbrella based on the first judgment initial point is obtained, and at least two needle drop position items are obtained. The needle drop position items are combined to obtain the first position set.

[0055] Specifically, when the sewing worker touches the umbrella, this time is used as the first initial judgment point to obtain the needle position information of the first umbrella rib when the sewing worker starts sewing. When three stitches are made on the first umbrella rib, there are three needle position items at this time, which are combined into the first position set. Example 1

[0056] During the specific implementation process, there is a worker A in a factory who is sewing the umbrella cover and the ribs. At this time, an auxiliary module item is set next to worker A, and the auxiliary module includes a camera component. The status information of worker A is obtained through the camera component. When worker A touches the umbrella that needs to be sewn, this time is set as the first judgment initial point, and the needle drop position when worker A sews the first rib is obtained. It is obtained that the worker sews a total of three positions of the first rib, namely a, b, and c. At this time, the number of needle drop position items is three.

[0057] Step S400: Based on the first position set, the needle drop point spacing is obtained to obtain a sewing distance item. After the sewing division item completes the sewing of the first rib, the auxiliary module set performs laser indication on the corresponding position of the sequential rib according to the first position set and the sewing distance item to obtain a laser indication item.

[0058] It should be noted that if Figure 3 As shown, the auxiliary module also includes a laser indicator light component, and the method for obtaining the laser indication item includes: obtaining a first position item based on the first needle drop position information in the first position set, obtaining a reference point associated with the first position item based on the auxiliary module, and obtaining at least two reference position items, and determining the specific position information of the first position item through the two reference points associated with the first position item; obtaining a connection path between the first position item and the reference position item based on the reference position item, and then obtaining position data of the first position item and the sequential umbrella rib, and obtaining a first laser landing point based on the laser indicator light component; obtaining a combination result of the first laser landing point and the reference position item based on the sewing distance item, and obtaining a second laser landing point, repeating this step to obtain all laser landing points, and then obtaining a laser indication item. Example 2

[0059] In the specific implementation process, Figure 4 At this time, there is a worker B in a factory sewing the umbrella cover and the ribs, and a total of three places are sewn, namely a, aa, and aaa. The distance between the three places is 5 cm. The first position information of the worker B when sewing the first rib is obtained, and the first position item a is obtained. The two reference points associated with the first position item a are the keel welding point b and the keel hinge point c. At this time, the reference position items are b and c. The connection paths of a with b and c are obtained, where the distance ab is 5 cm and the distance ac is 10 cm. Then the position data of the first position item and the sequential ribs are obtained. At this time, the laser indicator light component can be used to land 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. According to the sewing distance item, the combination results of the first laser landing point with b and c are obtained to obtain the second laser landing point, which is the position of aa. The steps are repeated to obtain the third laser landing point, which is the position of aaa, and then the laser indication item is obtained.

[0060] Step S500: Obtain the identity information of the target umbrella, mark the umbrella, and obtain a target mark set.

[0061] It should be noted that the target marking set includes at least one target marking item consisting of a marked umbrella, and the auxiliary module also includes a near-infrared camera component. The method for obtaining the target marking set includes: based on the near-infrared camera component, obtaining the welding point pore data of the target umbrella ribs to obtain the target pore set, and the target pore set includes at least the welding point pore data of two ribs; sorting the target pore set according to the rib order of the target umbrella to obtain a pore sorting set; based on the working order of the sewing division item, assigning a number to the target umbrella corresponding to the pore sorting set, and then obtaining the welding point pore data corresponding to the corresponding number to obtain the target marking set. Example 3

[0062] In the specific implementation process, Figure 5 As shown in the figure, when the ribs and the umbrella cover are sewn together in the sewing division item, the target umbrella has a total of six ribs. At this time, the target pore set consists of the pore data of the welding points of the six ribs. The pore data of the welding points of the ribs are obtained by a near-infrared camera, and the pore data are 0.13mm, 0.32mm, 0.22mm, 0.14mm, 0.21mm, and 0.14mm respectively. The target pore set is obtained. At this time, the target pore set is sorted according to the order of the umbrella ribs. The sorting result is:

[0063] 0.13mm--0.32mm--0.22mm--0.14mm--0.21mm--0.14mm;

[0064] This target umbrella is the first working target of the sewing division item, and then the target umbrella is labeled 1, and then the target label set is obtained.

[0065] Step S600: Based on the quality inspection module set, the working status of the quality inspection division item is obtained, the target mark set is obtained, and the umbrella is inspected and judged to obtain the umbrella surface information and obtain the umbrella surface information set.

[0066] It should be noted that the quality inspection module includes a camera component, and the method for obtaining the umbrella surface information set includes: the quality inspection module obtains the status information of the quality inspection division item based on the camera component, and takes the quality inspection division item of opening the target umbrella as the second judgment initial point. When the quality inspection division item requires quality inspection of the umbrella, the umbrella needs to be opened for inspection. At this time, the moment of opening the target umbrella is taken as the second judgment initial point; the quality inspection module obtains the wrinkle state of the target umbrella surface corresponding to the second judgment initial point, obtains the umbrella surface judgment item, and the umbrella surface judgment items are combined to obtain the umbrella surface information set. When three umbrellas are quality inspected, the number of umbrella surface judgment items is three, that is, the umbrella surface information set consists of three umbrella surface judgment items.

[0067] Step S700: sorting target umbrellas based on the umbrella surface information set to obtain an umbrella surface sorting set.

[0068] It should be noted that the method for obtaining the umbrella surface sorting set includes: setting the wrinkle number level judgment and the wrinkle depth level judgment, which are divided into three wrinkle number level items and three wrinkle depth level items, namely, slight, medium and severe, wherein the wrinkle number level items corresponding to slight, medium and severe are ≤3, 4-6 and ≥7 respectively, and the wrinkle depth level items corresponding to slight, medium and severe are ≤0.5mm, 0.6-1.2mm and ≥1.3mm respectively; assigning scores based on the wrinkle number level items and the fold depth level items, wherein the scores assigned to slight, medium and severe are 1, 2 and 3 points respectively; based on the umbrella surface information set, the umbrella is graded to obtain the grade judgment item, the corresponding score is obtained based on the grade judgment item to obtain the target score item, and based on the target score item, it is sorted in ascending order to obtain the umbrella surface sorting set. Example 4

[0069] During the specific implementation process, three umbrellas were quality inspected, which were numbered 1-3. Among them, umbrella No. 1 had 2 wrinkles and a total wrinkle depth of 0.7mm. At this time, the corresponding score of the umbrella was 3 points. Umbrella No. 2 had 3 wrinkles and a total wrinkle depth of 0.4mm. At this time, the corresponding score of the umbrella was 2 points. Umbrella No. 3 had 6 wrinkles and a total wrinkle depth of 0.3mm. At this time, the corresponding score of the umbrella was 4 points. Then, the target score items of umbrellas No. 1-3 were obtained respectively, and they were sorted in ascending order according to the target score items to obtain the umbrella surface sorting set, that is, No. 2 > No. 1 > No. 3.

[0070] Step S800: obtaining the first position set and sewing distance item corresponding to the first umbrella surface information in the umbrella surface sorting set, and sending them to the auxiliary module.

[0071] It should be noted that the first umbrella surface information of the umbrella surface sorting set is obtained, the target judgment item is obtained, and the target mark item corresponding to the target judgment item is obtained. Since the quality inspection module also includes a near-infrared camera component, the pore data of the umbrella rib welding point corresponding to the target judgment item is obtained based on the infrared camera component, and the corresponding target mark item is obtained. At the same time, the first position set and the sewing distance item corresponding to the target mark item are obtained, and the target position set and the target distance item are obtained. The target position set and the target distance item are sent to the auxiliary module, thereby achieving the optimization effect of the umbrella sewing quality.

[0072] An umbrella manufacturing quality optimization system based on AI analysis uses the above-mentioned umbrella manufacturing quality optimization method based on AI analysis, including: a setting module: setting an auxiliary module and a quality inspection module to obtain an auxiliary module set and a quality inspection module set, dividing the staff into categories, obtaining sewing division items and quality inspection division items, the auxiliary module set corresponds to the sewing division item, and the quality inspection module set corresponds to the quality inspection division item; a calibration module: obtaining the working status of the sewing division item based on the auxiliary module set, obtaining the needle drop positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella in turn, obtaining a first position set, the first position set including the needle drop positions of at least two sewing points, obtaining the distance between the needle drop points based on the first position set, obtaining a sewing distance item, and when the sewing division item completes the sewing of the first rib, the auxiliary module set is adjusted according to the first position set. a set and a sewing distance item, and performs laser indication on the corresponding position of the sequential umbrella rib to obtain a laser indication item; a marking module: obtains the identity information of the target umbrella, marks the umbrella, and obtains a target marking set, where the target marking set includes at least a target marking item composed of a marked umbrella; a feedback module: obtains the working status of the quality inspection division item based on the quality inspection module set, obtains the target marking set, and inspects and determines the umbrella, obtains the umbrella surface information of the umbrella, obtains the umbrella surface information set, sorts the target umbrellas based on the umbrella surface information set, obtains the umbrella surface sorting set, obtains the first umbrella surface information of the umbrella surface sorting set, obtains the target judgment item, obtains the target marking item corresponding to the target judgment item, and simultaneously obtains the first position set and the sewing distance item corresponding to the target marking item, obtains the target position set and the target distance item, and sends the target position set and the target distance item to the auxiliary module.

[0073] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is limited by the accompanying embodiments and their equivalents.

Claims

1. A method for optimizing umbrella manufacturing quality based on AI analysis, comprising: An auxiliary module and a quality inspection module are set to obtain an auxiliary module set and a quality inspection module set, wherein the auxiliary module set and the quality inspection module set at least include an auxiliary module item and a quality inspection module item consisting of the auxiliary module and the quality inspection module; The staff members are divided into categories according to their nature to obtain sewing categories and quality inspection categories. The auxiliary module sets correspond to the sewing categories, and the quality inspection module sets correspond to the quality inspection categories. Its characteristics are: Obtaining the working status of the sewing division item based on the auxiliary module set, sequentially obtaining the needle drop 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 the needle drop positions of at least two sewing points; Based on the first position set, the needle drop point spacing is obtained to obtain a sewing distance item. When the sewing division item completes the sewing of the first rib, the auxiliary module set performs laser indication on the corresponding position of the sequential 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, and obtain a target mark set, wherein the target mark set includes at least one target mark item consisting of a marked umbrella; Based on the quality inspection module set, the working status of the quality inspection division item is obtained, the target mark set is obtained, and the umbrella is inspected and judged to obtain the umbrella surface information, thereby obtaining the umbrella surface information set; The target umbrellas are sorted based on the umbrella surface information set to obtain an umbrella surface sorting set, the first umbrella surface information of the umbrella surface sorting set is obtained, the target judgment item is obtained, the target marking item corresponding to the target judgment item is obtained, and the first position set and sewing distance item corresponding to the target marking item are obtained at the same time, and the target position set and target distance item are obtained. The target position set and target distance item are sent to the auxiliary module, thereby achieving the optimization effect of the umbrella sewing quality.

2. The umbrella manufacturing quality optimization method based on AI analysis according to claim 1, characterized in that: The auxiliary module includes a camera assembly, and the method for obtaining the first position set includes: Based on the camera assembly, status information of the sewing division item is obtained, and the contact of the sewing division item with the target umbrella is used as the first determination initial point. The needle drop position information when the sewing division item is used to sew the first rib of the target umbrella based on the first determination initial point is obtained, and at least two needle drop position items are obtained. The needle drop position items are combined to obtain a first position set.

3. The umbrella manufacturing quality optimization method based on AI analysis according to claim 1, characterized in that: The auxiliary module also includes a laser indicator light component, and the method for obtaining the laser indicator item includes: Based on the first needle drop position information in the first position set, a first position item is obtained, and based on the auxiliary module, a marking point associated with the first position item is obtained to obtain at least two marking position items; Based on the reference position item, a connection path between the first position item and the reference position item is obtained, thereby obtaining position data of the first position item and the sequential rib, and obtaining a first laser landing point based on the laser indicator light assembly; Based on the sewing distance item, a combination result of the first laser landing point and the marking position item is obtained to obtain the second laser landing point. This step is repeated to obtain all laser landing points, and then the laser indication item is obtained.

4. The method for optimizing umbrella manufacturing quality based on AI analysis according to claim 1, characterized in that: The auxiliary module also includes a near-infrared camera component, and the method for obtaining the target marker set includes: Acquire the pore data of the welding points of the target umbrella ribs based on a near-infrared camera assembly to obtain a target pore set, wherein the target pore set includes the pore data of the welding points of at least two umbrella ribs; According to the rib sequence of the target umbrella, the target pore set is sorted to obtain a pore sorting set; Based on the working order of the sewing division items, the target umbrellas corresponding to the pore sorting set are labeled, and then the pore data of the welding points corresponding to the corresponding labels are obtained to obtain the target labeling set.

5. The method for optimizing umbrella manufacturing quality based on AI analysis according to claim 1, characterized in that: The quality inspection module includes a camera component, and the method for obtaining the umbrella surface information set includes: The quality inspection module obtains status information of the quality inspection item based on the camera component, and takes the quality inspection item "opening the target umbrella" as the second determination starting point; The quality inspection module obtains the wrinkle state of the target umbrella surface corresponding to the second determination initial point, obtains an umbrella surface determination item, and combines the umbrella surface determination items to obtain an umbrella surface information set.

6. The method for optimizing umbrella manufacturing quality based on AI analysis according to claim 1, characterized in that: The method for obtaining the umbrella surface sorting set includes: Setting the fold quantity level determination and the fold depth level determination, which are divided into at least two fold quantity level items and at least two fold depth level items; Scores are assigned based on the fold quantity grade item and the fold depth grade item; Based on the umbrella surface information set, the umbrellas are graded to obtain grade determination items, corresponding scores are obtained based on the grade determination items to obtain target score items, and based on the target score items, they are sorted in ascending order to obtain an umbrella surface sorting set.

7. The method for optimizing umbrella manufacturing quality based on AI analysis according to claim 1, characterized in that: The quality inspection module also includes a near-infrared camera component, which obtains the pore data of the rib welding points corresponding to the target judgment item based on the infrared camera component to obtain the corresponding target mark item.

8. The method for optimizing umbrella manufacturing quality based on AI analysis according to claim 1, characterized in that: The division method of the sewing division item and the quality inspection division item includes: The nature of the work of the staff is obtained. The nature of the work is divided into sewing nature and quality inspection nature. The staff are divided based on the sewing nature and quality inspection nature, and then the sewing division items and quality inspection division items are obtained.

9. An umbrella manufacturing quality optimization system based on AI analysis, characterized by: An umbrella manufacturing quality optimization method based on AI analysis according to any one of claims 1 to 8 is used, comprising: 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 staff into categories, obtain sewing categories and quality inspection categories, the auxiliary module set corresponds to the sewing categories, and the quality inspection module set corresponds to the quality inspection categories; Calibration module: Based on the auxiliary module set, the working status of the sewing division item is obtained, and the needle drop positions of the first sewing point and subsequent sewing points in the first rib of the target umbrella are obtained in sequence to obtain a first position set. The first position set includes the needle drop positions of at least two sewing points. Based on the first position set, the distance between the needle drop points is obtained to obtain a sewing distance item. When the sewing division item completes the sewing of the first rib, the auxiliary module set uses the first position set and the sewing distance item to perform laser indication at the corresponding position of the subsequent rib to obtain a laser indication item. Marking module: obtains the identity information of the target umbrella, marks the umbrella, and obtains a target marking set. The target marking set includes at least one target marking item consisting of a marked umbrella; Feedback module: obtains the working status of the quality inspection division item based on the quality inspection module set, obtains the target mark set, and inspects and judges the umbrella, obtains the umbrella surface information of the umbrella, obtains the umbrella surface information set, sorts the target umbrella based on the umbrella surface information set, obtains the umbrella surface sorting set, obtains the first umbrella surface information of the umbrella surface sorting set, obtains the target judgment item, obtains the target mark item corresponding to the target judgment item, and simultaneously obtains the first position set and sewing distance item corresponding to the target mark item, obtains the target position set and target distance item, and sends the target position set and target distance item to the auxiliary module.

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