Fault detection method and device for pull ring cover preparation mold and electronic equipment

Abstract

The invention provides a fault detection method and device for a pull-tab cap preparation mold and electronic equipment, and the method comprises the steps: obtaining the same batch of pull-tab cap samples obtained based on the production of the pull-tab cap preparation mold, and recording the pull-tab force of each pull-tab cap sample; the pull ring forces are fitted to obtain a fitting curve, the fitting curve takes time as a horizontal coordinate and the pull ring forces as a vertical coordinate, and the time is determined according to the preparation time of the pull ring cover corresponding to the pull ring forces; and whether the pull ring cover preparation mold breaks down or not is determined based on the fitting curve. Whether the pull ring cover preparation mold breaks down or not can be quickly and conveniently determined on the premise that the pull ring cover preparation mold is not overhauled on a large scale.

Description

Technical Field

[0001] The present invention relates to the technical field of dairy products, and particularly to a method, device and electronic device for detecting faults of a pull-tab lid preparation mold. Background Art

[0002] In the field of dairy products, dairy products are often stored in portable packages such as Tetra Recart. Among them, the Tetra Recart includes a pull-tab lid, and the pull-tab lid is prepared by a pull-tab lid preparation mold.

[0003] Currently, in the production process of pull-tab lids, problems such as difficult-to-open pull-tabs may occur due to faults in the pull-tab lid preparation mold, which will cause inconvenience to users during use. Therefore, it is very necessary to timely determine whether the pull-tab lid preparation mold has a fault. Summary of the Invention

[0004] The present invention provides a method, device and electronic device for detecting faults of a pull-tab lid preparation mold, which realizes quickly and conveniently determining whether the pull-tab lid preparation mold has a fault.

[0005] The present invention provides a method for detecting faults of a pull-tab lid preparation mold, the method comprising: obtaining pull-tab lid samples of the same batch produced by the pull-tab lid preparation mold, and recording the pull forces of the pull-tab lid samples; fitting the pull forces to obtain a fitting curve, wherein the fitting curve has time as the abscissa and the pull force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull force; determining whether the pull-tab lid preparation mold has a fault based on the fitting curve.

[0006] According to the method for detecting faults of a pull-tab lid preparation mold provided by the present invention, the determining whether the pull-tab lid preparation mold has a fault based on the fitting curve specifically comprises: when it is monitored that the pull force in the fitting curve continuously rises and / or continuously falls within a preset time period, determining that the pull-tab lid preparation mold has a wear fault; when it is monitored that there are a target number of mutations in the pull force at intervals in the fitting curve, determining that the pull-tab lid preparation mold has no fault, wherein the target number is less than or equal to a quantity threshold.

[0007] A fault detection method for a pull - ring cap preparation mold provided by the present invention, the method further includes: obtaining multiple groups of first training samples, where the first training samples are previous pull - ring force values; using the first training samples as the first model input to pre - train a first prediction model, obtaining a trained first prediction model, where the first model output of the first prediction model is the subsequent pull - ring force value at a target time interval from the first model input; obtaining the target previous pull - ring force value of a target pull - ring cap, where the target pull - ring cap is produced based on the pull - ring cap preparation mold; inputting the target previous pull - ring force value into the trained first prediction model to obtain the target subsequent pull - ring force value corresponding to the target previous pull - ring force value output by the trained first prediction model; and warning about the wear condition of the pull - ring cap preparation mold based on the target subsequent pull - ring force value.

[0008] A fault detection method for a pull - ring cap preparation mold provided by the present invention, the warning about the wear condition of the pull - ring cap preparation mold based on the target subsequent pull - ring force value specifically includes: determining a mapping table, where the mapping table includes the corresponding relationship between different mold wear levels and different subsequent pull - ring force values; based on the target subsequent pull - ring force value and the corresponding relationship, determining the target mold wear level corresponding to the target subsequent pull - ring force value; and warning about the wear condition of the pull - ring cap preparation mold based on the target mold wear level.

[0009] A fault detection method for a pull - ring cap preparation mold provided by the present invention, the warning about the wear condition of the pull - ring cap preparation mold based on the target mold wear level specifically includes: when the target mold wear level exceeds the wear level threshold, giving an alarm reminder about the wear level of the pull - ring cap preparation mold.

[0010] A fault detection method for a pull - ring cap preparation mold provided by the present invention, the method further includes: when it is monitored that the engraved characters inside the package of a dairy product package matching the pull - ring cap sample are unclear, initiating an alarm reminder to replace the pull - ring cap preparation mold, where the pull - ring cap preparation mold is used to engrave characters inside the package of a dairy product package matching the pull - ring cap sample.

[0011] A fault detection method for a pull-tab lid manufacturing mold provided by the present invention further includes: obtaining multiple groups of second training samples, where the second training samples are characters engraved inside the pre-printed packaging; using the second training samples as the input of a second model to pre-train a second prediction model, obtaining the trained second prediction model, where the second model output of the second prediction model is the characters engraved inside the post-printed packaging that are separated from the second model input by a target time duration; obtaining the target characters engraved inside the pre-printed packaging of the dairy product packaging that matches the pull-tab lid sample; inputting the target characters engraved inside the pre-printed packaging into the trained second prediction model to obtain the target characters engraved inside the post-printed packaging corresponding to the target characters engraved inside the pre-printed packaging output by the trained second prediction model; and warning of the wear condition of the pull-tab lid manufacturing mold based on the character clarity of the target characters engraved inside the post-printed packaging.

[0012] The present invention also provides a fault detection device for a pull-tab lid manufacturing mold. The device includes: an acquisition module for acquiring the same batch of pull-tab lid samples produced by the pull-tab lid manufacturing mold and recording the pull-ring forces of each of the pull-tab lid samples; a fitting module for fitting each of the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the manufacturing time of the pull-tab lid corresponding to the pull-ring force; and a processing module for determining whether the pull-tab lid manufacturing mold has a fault based on the fitting curve.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the fault detection method for the pull-tab lid manufacturing mold as described in any one of the above.

[0014] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the fault detection method for the pull-tab lid manufacturing mold as described in any one of the above.

[0015] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the fault detection method for the pull-tab lid manufacturing mold as described in any one of the above.

[0016] The fault detection method, device and electronic equipment for the pull-tab lid preparation mold provided by the present invention obtain the pull-tab lid samples of the same batch produced by the pull-tab lid preparation mold, and record the pull-ring forces of each pull-tab lid sample; fit each pull-ring force to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate; and determine whether the pull-tab lid preparation mold has a fault based on the fitting curve. It realizes the rapid and convenient determination of whether the pull-tab lid preparation mold has a fault without large-scale overhaul of the pull-tab lid preparation mold. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 is one of the flow charts of the fault detection method for the pull-tab lid preparation mold provided by the present invention;

[0019] Figure 2 is another flow chart of the fault detection method for the pull-tab lid preparation mold provided by the present invention;

[0020] Figure 3 is the flow chart for warning the wear condition of the pull-tab lid preparation mold based on the target post-pull-ring force value provided by the present invention;

[0021] Figure 4 is the third flow chart of the fault detection method for the pull-tab lid preparation mold provided by the present invention;

[0022] Figure 5 is the structural diagram of the fault detection device for the pull-tab lid preparation mold provided by the present invention;

[0023] Figure 6 is the structural diagram of the electronic equipment provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] To make the objectives, technical solutions and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention fall within the scope of protection of the present invention.

[0025] Figure 1It is one of the schematic flowcharts of the fault detection method for the pull-tab lid preparation mold provided by the present invention.

[0026] Next, in conjunction with Figure 1 the fault detection method for the pull-tab lid preparation mold provided by the present invention will be described.

[0027] In an exemplary embodiment of the present invention, in conjunction with Figure 1 it can be seen that the fault detection method for the pull-tab lid preparation mold may include steps 110 to 130, and each step will be introduced separately below.

[0028] In step 110, obtain pull-tab lid samples of the same batch produced by the pull-tab lid preparation mold, and record the pull force of each pull-tab lid sample.

[0029] In one embodiment, pull-tab lid samples produced in the same batch can be obtained. Among them, production in the same batch is used to characterize being produced by the same pull-tab lid preparation mold. In this embodiment, using the pull force of the pull-tab lid samples produced in the same batch to analyze whether the pull-tab lid preparation mold has a fault can have stronger reference.

[0030] In another embodiment, the pull-tab lid can be considered as a pull-tab lid that matches the dairy product packaging. During application, the user can take out the dairy product from the dairy product packaging by pulling up the pull-tab lid. If the pull-tab lid is not easily pulled up or is easily damaged, it will affect the user experience. Among them, the fact that the pull-tab lid is not easily pulled up or is easily damaged is often caused by a fault in the pull-tab lid preparation mold. The pull force represents the force required to pull up the pull-tab lid.

[0031] In step 120, fit each pull force to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull force.

[0032] In step 130, determine whether the pull-tab lid preparation mold has a fault based on the fitting curve.

[0033] In another embodiment, each pull force can be fitted to obtain a fitting curve. Among them, the fitting curve has time as the abscissa and the pull force as the ordinate. The time is determined according to the preparation time of the pull-tab lid corresponding to the pull force.

[0034] During the application process, based on the fitting curve, the pull-ring force corresponding to the pull-ring lid at different preparation times of the pull-ring lid preparation mold can be obtained. Further, based on the pull-ring force corresponding to the pull-ring lid preparation mold at different preparation times, it can be determined whether the pull-ring lid preparation mold has failed. Thus, it is possible to determine whether the pull-ring lid preparation mold has failed at low cost, quickly, and conveniently without performing large-scale maintenance on the pull-ring lid preparation mold.

[0035] In an exemplary embodiment of the present invention, to determine whether the pull-ring lid preparation mold has failed based on the fitting curve, the following method can be used:

[0036] When it is monitored that the pull-ring force in the fitting curve continuously rises and / or continuously falls within a preset time period, it is determined that the pull-ring lid preparation mold has a wear failure;

[0037] When it is monitored that there are a target number of mutations in the pull-ring force at intervals in the fitting curve, it is determined that the pull-ring lid preparation mold has not failed, where the target number is less than or equal to the number threshold.

[0038] In one embodiment, when it is monitored that there is a situation where the pull-ring force in the fitting curve continuously rises and / or continuously falls within a preset time period, it indicates that the pull-ring lid preparation mold has a wear failure during the corresponding time period. In another example, an alarm reminder can also be sent to the user to prompt the user that the pull-ring lid preparation mold has a wear failure during the corresponding time period.

[0039] In another embodiment, when it is monitored that there are a target number of mutations in the pull-ring force at intervals in the fitting curve, in other words, on the fitting curve, there are a target number of mutations in the pull-ring force that are scattered. Since the mutations in the pull-ring force occur at intervals, in other words, the mutations in the pull-ring force are accidental phenomena. For example, the number of pull-ring forces with mutations may be 1, or even 0. Then it indicates that the pull-ring lid preparation mold has not failed, but may be a problem with the pull-ring lid sample itself.

[0040] It should be noted that the target number is less than or equal to the number threshold, indicating that the target number is small enough, and can even be 0. When the target number is 0, it means that there are no pull-ring forces with mutations on the fitting curve.

[0041] Figure 2 It is the second flow chart of the fault detection method for the pull-ring lid preparation mold provided by the present invention.

[0042] To further introduce the fault detection method for the pull-ring lid preparation mold provided by the present invention, the following will be combined with Figure 2 for description.

[0043] In an exemplary embodiment of the present invention, combined withFigure 2 It can be known that the fault detection method of the pull-ring cover preparation mold may include steps 210 to 250, and each step will be introduced separately below.

[0044] In step 210, multiple groups of first training samples are obtained, where the first training samples are the front pull-ring force values.

[0045] In step 220, the first training samples are used as the first model input to pre-train the first prediction model, and the trained first prediction model is obtained. The first model output of the first prediction model is the rear pull-ring force value at an interval of the target duration from the first model input.

[0046] In one embodiment, multiple groups of first training samples can be obtained, where the first training samples can represent the front pull-ring force values. Further, the first training samples can be used as the first model input to pre-train the first prediction model, and the trained first prediction model can be obtained. It should be noted that the first model output of the first prediction model can be the rear pull-ring force value at an interval of the target duration from the first model input. In other words, based on the first prediction model, the rear pull-ring force value at an interval of the target duration from the input can be obtained. In an example, if the first model input is the pull-ring force value F1 of the pull-ring cover sample prepared on the nth day, then the first prediction model can obtain the rear pull-ring force value F2 at an interval of the target duration, such as m days, from the input F1. That is, the rear pull-ring force value F2 is the predicted pull-ring force value of the pull-ring cover sample prepared on the (n + m)th day.

[0047] In step 230, the target front pull-ring force value of the target pull-ring cover is obtained, where the target pull-ring cover is produced based on the pull-ring cover preparation mold.

[0048] In step 240, the target front pull-ring force value is input into the trained first prediction model, and the target rear pull-ring force value corresponding to the target front pull-ring force value output by the trained first prediction model is obtained.

[0049] In step 250, based on the target rear pull-ring force value, a warning is given about the wear condition of the pull-ring cover preparation mold.

[0050] In yet another embodiment, the target front pull-ring force value of the target pull-ring lid can be obtained, and the target front pull-ring force value is input into the first trained prediction model to obtain the target rear pull-ring force value corresponding to the target front pull-ring force value output by the first trained prediction model. Further, based on the target rear pull-ring force value, a warning is given regarding the wear condition of the pull-ring lid manufacturing die. In this embodiment, based on the pull-ring force value of the target pull-ring lid prepared in the current time period, the pull-ring force value of the target pull-ring lid to be prepared in the future time period can be predicted, and based on the predicted pull-ring force value of the target pull-ring lid to be prepared in the future time period, the wear condition of the pull-ring lid manufacturing die can be predicted, so that a warning regarding the wear condition of the pull-ring lid manufacturing die can be given in advance, gaining initiative for the user.

[0051] Figure 3 FIG. 4 is a schematic flow chart of warning the wear condition of the pull-ring lid manufacturing die based on the target rear pull-ring force value provided by the present invention.

[0052] Next, in conjunction with Figure 3 the process of warning the wear condition of the pull-ring lid manufacturing die based on the target rear pull-ring force value will be described.

[0053] In an exemplary embodiment of the present invention, in conjunction with Figure 3 it can be seen that warning the wear condition of the pull-ring lid manufacturing die based on the target rear pull-ring force value may include steps 310 to 330, and each step will be introduced separately below.

[0054] In step 310, a mapping table is determined, where the mapping table includes the corresponding relationship between different die wear levels and different rear pull-ring force values.

[0055] In step 320, based on the target rear pull-ring force value and the corresponding relationship, the target die wear level corresponding to the target rear pull-ring force value is determined.

[0056] In step 330, a warning is given regarding the wear condition of the pull-ring lid manufacturing die based on the target die wear level.

[0057] In one embodiment, the mapping table can be set in advance, where the mapping table includes the corresponding relationship between different die wear levels and different rear pull-ring force values. Further, based on the target rear pull-ring force value and the corresponding relationship, the target die wear level corresponding to the target rear pull-ring force value can be quickly determined. Then, a warning is given regarding the wear condition of the pull-ring lid manufacturing die based on the target die wear level.

[0058] In yet another exemplary embodiment of the present invention, warning the wear condition of the pull-ring lid manufacturing die based on the target die wear level can be implemented in the following manner:

[0059] When the wear level of the target die exceeds the wear level threshold, an alarm reminder is given for the wear level of the pull-tab lid manufacturing die.

[0060] In one embodiment, when it is determined that the wear level of the target die exceeds the wear level threshold, it indicates that the pull-tab lid manufacturing die needs to be replaced. In this scenario, an alarm reminder can be given for the wear level of the pull-tab lid manufacturing die to prompt the user to replace the die in a timely manner.

[0061] In another exemplary embodiment of the present invention, the method for detecting the fault of the pull-tab lid manufacturing die may further include the following steps:

[0062] When it is monitored that the engraved characters inside the packaging of the dairy product packaging matching the pull-tab lid sample are unclear, an alarm reminder for replacing the pull-tab lid manufacturing die is initiated, where the pull-tab lid manufacturing die is used to engrave characters inside the packaging of the dairy product packaging matching the pull-tab lid sample.

[0063] In one embodiment, the engraved characters inside the packaging of the dairy product packaging matching the pull-tab lid sample are realized by the pull-tab lid manufacturing die. When it is monitored that the engraved characters inside the packaging of the dairy product packaging are unclear, it indicates that the die has also malfunctioned. In this scenario, an alarm reminder for replacing the pull-tab lid manufacturing die can also be initiated.

[0064] Figure 4 It is the third flow diagram of the method for detecting the fault of the pull-tab lid manufacturing die provided by the present invention.

[0065] Next, in combination with Figure 4 The process of another method for detecting the fault of the pull-tab lid manufacturing die will be described.

[0066] In one exemplary embodiment of the present invention, in combination with Figure 4 It can be seen that the method for detecting the fault of the pull-tab lid manufacturing die may include steps 410 to 450. Each step will be introduced separately below.

[0067] In step 410, multiple groups of second training samples are obtained, where the second training samples are the engraved characters inside the packaging printed previously.

[0068] In step 420, the second training samples are used as the second model input to pre-train the second prediction model, and the trained second prediction model is obtained, where the second model output of the second prediction model is the engraved characters inside the packaging printed later at an interval of the target time length from the second model input.

[0069] In one embodiment, multiple sets of second training samples can be obtained, where the second training samples can represent the characters imprinted inside the pre-printed packaging. Further, the second training samples can be used as the input of the second model to pre-train the second prediction model, and the trained second prediction model can be obtained. It should be noted that the second model output of the second prediction model can be the characters imprinted inside the post-printed packaging that are separated from the second model input by a target time duration. In other words, based on the second prediction model, the characters imprinted inside the post-printed packaging separated by the target time duration from the input can be obtained. In one example, if the second model input is the characters a imprinted inside the packaging on the nth day, then the second prediction model can obtain the characters a' imprinted inside the post-printed packaging that are separated from the input a by a target time duration, such as m days. That is, the characters a' imprinted inside the post-printed packaging are the predicted characters imprinted inside the packaging on the (n + m)th day.

[0070] In step 430, the target characters imprinted inside the pre-printed packaging of the dairy product packaging that match the pull-tab lid sample are obtained.

[0071] In step 440, the target characters imprinted inside the pre-printed packaging are input into the trained second prediction model, and the target characters imprinted inside the post-printed packaging corresponding to the target characters imprinted inside the pre-printed packaging output by the trained second prediction model are obtained.

[0072] In step 450, based on the character clarity of the target characters imprinted inside the post-printed packaging, an early warning is given for the wear condition of the pull-tab lid preparation mold.

[0073] In another embodiment, the target characters imprinted inside the pre-printed packaging can be obtained, and the target characters imprinted inside the pre-printed packaging are input into the trained second prediction model, and the target characters imprinted inside the post-printed packaging corresponding to the target characters imprinted inside the pre-printed packaging output by the trained second prediction model are obtained. Further, based on the target characters imprinted inside the post-printed packaging, an early warning is given for the wear condition of the pull-tab lid preparation mold. In this embodiment, the characters imprinted inside the packaging printed in the current time period can be used to predict the characters imprinted inside the post-printed packaging in the future time period, and the wear condition of the pull-tab lid preparation mold can be predicted according to the predicted characters imprinted inside the post-printed packaging in the future time period, so that an early warning can be given for the wear condition of the pull-tab lid preparation mold in advance, which gives the user the initiative.

[0074] In another embodiment of the present invention, an early warning for the wear condition of the pull-tab lid preparation mold based on the character clarity of the target characters imprinted inside the post-printed packaging can also be achieved in the following manner:

[0075] Determine a mapping table, where the mapping table includes the correspondence between different die wear levels and different character clarity levels;

[0076] Based on the character clarity of the target post-engraved characters inside the package and the correspondence, determine the target die wear level corresponding to the character clarity of the target post-engraved characters inside the package;

[0077] Warn about the wear condition of the pull-tab lid manufacturing die based on the target die wear level.

[0078] Through the foregoing embodiments, the wear level of the pull-tab lid manufacturing die can be pre-warned to prompt the user to replace the die in a timely manner.

[0079] According to the above description, the fault detection method for the pull-tab lid manufacturing die provided by the present invention obtains the same batch of pull-tab lid samples produced by the pull-tab lid manufacturing die, records the pull-ring forces of each pull-tab lid sample; fits the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate; and determines whether the pull-tab lid manufacturing die fails based on the fitting curve. It realizes the rapid and convenient determination of whether the pull-tab lid manufacturing die fails without large-scale overhaul of the pull-tab lid manufacturing die.

[0080] Based on the same concept, the present invention also provides a fault detection device for a pull-tab lid manufacturing die.

[0081] The following describes the fault detection device for the pull-tab lid manufacturing die provided by the present invention. The fault detection device for the pull-tab lid manufacturing die described below can be mutually corresponding and referred to with the fault detection method for the pull-tab lid manufacturing die described above.

[0082] Figure 5 It is a schematic structural diagram of the fault detection device for the pull-tab lid manufacturing die provided by the present invention.

[0083] In an exemplary embodiment of the present invention, the fault detection device for the pull-tab lid manufacturing die may include an acquisition module 510, a fitting module 520, and a processing module 530. Each module will be introduced separately below.

[0084] The acquisition module 510 can be configured to obtain the same batch of pull-tab lid samples produced by the pull-tab lid manufacturing die and record the pull-ring forces of each of the pull-tab lid samples;

[0085] The fitting module 520 can be configured to fit each of the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the manufacturing time of the pull-tab lid corresponding to the pull-ring force;

[0086] A processing module 530, which can be configured to determine whether a pull-tab lid preparation mold fails based on the fitting curve.

[0087] In an exemplary embodiment of the present invention, the processing module 530 can implement determining whether the pull-tab lid preparation mold fails based on the fitting curve in the following manner:

[0088] When it is monitored that the pull-tab force in the fitting curve continuously rises and / or continuously drops within a preset time period, it is determined that the pull-tab lid preparation mold has a wear failure;

[0089] When it is monitored that there are a target number of mutations in the pull-tab force at intervals in the fitting curve, it is determined that the pull-tab lid preparation mold has not failed, where the target number is less than or equal to a number threshold.

[0090] In an exemplary embodiment of the present invention, the processing module 530 can also be configured to:

[0091] Obtain multiple groups of first training samples, where the first training samples are previous pull-tab force values;

[0092] Use the first training samples as the first model input to pre-train a first prediction model to obtain a trained first prediction model, where the first model output of the first prediction model is the subsequent pull-tab force value at a target time interval from the first model input;

[0093] Obtain the target previous pull-tab force value of a target pull-tab lid, where the target pull-tab lid is produced based on the pull-tab lid preparation mold;

[0094] Input the target previous pull-tab force value into the trained first prediction model to obtain the target subsequent pull-tab force value corresponding to the target previous pull-tab force value output by the trained first prediction model;

[0095] Warn of the wear condition of the pull-tab lid preparation mold based on the target subsequent pull-tab force value.

[0096] In an exemplary embodiment of the present invention, the processing module 530 can also implement warning of the wear condition of the pull-tab lid preparation mold based on the target subsequent pull-tab force value in the following manner:

[0097] Determine a mapping table, where the mapping table includes the corresponding relationships between different mold wear levels and different subsequent pull-tab force values;

[0098] Based on the target subsequent pull-tab force value and the corresponding relationship, determine the target mold wear level corresponding to the target subsequent pull-tab force value;

[0099] Warn about the wear condition of the pull-tab lid manufacturing die based on the target die wear level.

[0100] In an exemplary embodiment of the present invention, the processing module 530 may also implement warning about the wear condition of the pull-tab lid manufacturing die based on the target die wear level in the following manner:

[0101] When the target die wear level exceeds the wear level threshold, give an alarm reminder for the wear level of the pull-tab lid manufacturing die.

[0102] In an exemplary embodiment of the present invention, the processing module 530 may also be configured to:

[0103] When it is detected that the engraved characters inside the packaging of the dairy product packaging matching the pull-tab lid sample are unclear, initiate an alarm reminder to replace the pull-tab lid manufacturing die, where the pull-tab lid manufacturing die is used to engrave characters inside the packaging of the dairy product packaging matching the pull-tab lid sample.

[0104] In an exemplary embodiment of the present invention, the processing module 530 may also be configured to:

[0105] Obtain multiple groups of second training samples, where the second training samples are the engraved characters inside the previously engraved packaging;

[0106] Use the second training samples as the second model input to pre-train the second prediction model to obtain the trained second prediction model, where the second model output of the second prediction model is the engraved characters inside the packaging engraved later at a target time interval from the second model input;

[0107] Obtain the target previously engraved characters inside the packaging of the dairy product packaging matching the pull-tab lid sample;

[0108] Input the target previously engraved characters inside the packaging into the trained second prediction model to obtain the target engraved characters inside the packaging engraved later corresponding to the target previously engraved characters inside the packaging output by the trained second prediction model;

[0109] Based on the character clarity of the target engraved characters inside the packaging engraved later, warn about the wear condition of the pull-tab lid manufacturing die.

[0110] Figure 6 Illustrates a schematic diagram of the physical structure of an electronic device, such as Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communications interface 620, and the memory 630 complete communication with each other through the communication bus 640. The processor 610 can call the logical instructions in the memory 630 to execute the fault detection method for the pull-tab lid preparation mold. The method includes: obtaining the same batch of pull-tab lid samples produced based on the pull-tab lid preparation mold, and recording the pull-ring forces of each of the pull-tab lid samples; fitting each of the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull-ring force; determining whether the pull-tab lid preparation mold has a fault based on the fitting curve.

[0111] In addition, when the logical instructions in the above-mentioned memory 630 can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0112] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the fault detection method for the pull-tab lid preparation mold provided by the above-mentioned various methods. The method includes: obtaining the same batch of pull-tab lid samples produced based on the pull-tab lid preparation mold, and recording the pull-ring forces of each of the pull-tab lid samples; fitting each of the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull-ring force; determining whether the pull-tab lid preparation mold has a fault based on the fitting curve.

[0113] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements a fault detection method for a pull-tab lid preparation mold provided by the above-mentioned various methods. The method includes: obtaining pull-tab lid samples of the same batch produced by the pull-tab lid preparation mold, and recording the pull-ring forces of each of the pull-tab lid samples; fitting the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull-ring force; determining whether the pull-tab lid preparation mold has a fault based on the fitting curve.

[0114] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0115] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course also by hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0116] It can be further understood that although the operations are described in a specific order in the drawings in the embodiments of the present invention, it should not be understood as requiring these operations to be executed in the specific order shown or in a serial order, or requiring all the operations shown to obtain the desired result. In a specific environment, multitasking and parallel processing may be advantageous.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fault detection method for a pull-tab lid preparation mold, characterized in that, The method includes: Obtaining a same batch of pull-tab lid samples produced by a pull-tab lid preparation mold, and recording the pull force of each of the pull-tab lid samples; Fitting the pull forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull force; Determining whether the pull-tab lid preparation mold fails based on the fitting curve.

2. The fault detection method of the pull-tab lid manufacturing mold according to claim 1, characterized in that, The determining whether the pull-tab lid preparation mold fails based on the fitting curve specifically includes: When it is monitored that the pull force in the fitting curve continuously rises and / or continuously drops within a preset time period, determining that the pull-tab lid preparation mold has a wear failure; When it is monitored that there are a target number of mutations in the pull forces at intervals in the fitting curve, determining that the pull-tab lid preparation mold has not failed, where the target number is less than or equal to a number threshold.

3. The fault detection method for the pull-tab lid manufacturing mold according to claim 1, characterized in that, The method further includes: Obtaining multiple groups of first training samples, where the first training samples are previous pull force values; Using the first training samples as first model inputs to pre-train a first prediction model to obtain a trained first prediction model, where the first model output of the first prediction model is a subsequent pull force value at a target time interval from the first model input; Obtaining a target previous pull force value of a target pull-tab lid, where the target pull-tab lid is produced by the pull-tab lid preparation mold; Inputting the target previous pull force value into the trained first prediction model to obtain a target subsequent pull force value corresponding to the target previous pull force value output by the trained first prediction model; Warning about the wear condition of the pull-tab lid preparation mold based on the target subsequent pull force value.

4. The fault detection method of the pull-tab lid manufacturing mold according to claim 3, characterized in that, The warning about the wear condition of the pull-tab lid preparation mold based on the target subsequent pull force value specifically includes: Determining a mapping table, where the mapping table includes the corresponding relationships between different mold wear levels and different subsequent pull force values; Based on the target subsequent pull force value and the corresponding relationship, determining a target mold wear level corresponding to the target subsequent pull force value; Warning about the wear condition of the pull-tab lid preparation mold based on the target mold wear level.

5. The fault detection method of the pull-ring cover preparation mold according to claim 4, characterized in that The warning about the wear condition of the pull-tab lid preparation mold based on the target mold wear level specifically includes: When the target mold wear level exceeds a wear level threshold, giving an alarm reminder about the wear level of the pull-tab lid preparation mold.

6. The fault detection method of the pull-tab lid manufacturing die according to claim 1, characterized in that, The method further includes: When it is monitored that the engraved characters inside the package of a dairy product package matching the pull-tab lid sample are unclear, initiating an alarm reminder to replace the pull-tab lid preparation mold, where the pull-tab lid preparation mold is used to engrave characters inside the package of a dairy product package matching the pull-tab lid sample.

7. The fault detection method of the pull-tab lid manufacturing die according to claim 6, characterized in that, The method further includes: Obtaining multiple groups of second training samples, where the second training samples are engraved characters inside the previous package; Pre-train the second prediction model by using the second training sample as the second model input to obtain a trained second prediction model, where the second model output of the second prediction model is the inner package imprinted characters imprinted later at a target time interval from the second model input; Obtain the target inner package imprinted characters imprinted earlier of the dairy product package that matches the pull-tab lid sample; Input the target inner package imprinted characters imprinted earlier into the trained second prediction model to obtain the target inner package imprinted characters imprinted later corresponding to the target inner package imprinted characters imprinted earlier output by the trained second prediction model; Based on the character clarity of the target inner package imprinted characters imprinted later, give an early warning of the wear condition of the pull-tab lid preparation mold.

8. A fault detection device for a pull-tab lid manufacturing mold, characterized in that, The device includes: An acquisition module, configured to acquire the pull-tab lid samples of the same batch produced by the pull-tab lid preparation mold and record the pull-ring forces of the pull-tab lid samples; A fitting module, configured to fit the pull-ring forces to obtain a fitting curve, where the fitting curve has time as the abscissa and the pull-ring force as the ordinate, and the time is determined according to the preparation time of the pull-tab lid corresponding to the pull-ring force; A processing module, configured to determine whether the pull-tab lid preparation mold fails based on the fitting curve.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the fault detection method of the pull-tab lid preparation mold according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the fault detection method of the pull-tab lid preparation mold according to any one of claims 1 to 7.

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