A production control method and system for degradable plastic cups

Abstract

The present application relates to a production control method and system for degradable plastic cups, and to the field of plastic cup production technology. The method includes obtaining a printing task pattern; determining a defect detection unit efficiency according to each printing task pattern; judging whether there is a situation where the defect detection unit efficiency is empty; if so, defining it as an alternative production line and establishing a detection interval with a width of the detection time on the time axis; obtaining the number of finished product packages according to the alternative production line in the detection interval, and calculating according to the number of finished product packages and the preset defective defect rate to determine the number of completed inspections; calculating according to the number of completed inspections and the inspection time to update the defect detection unit efficiency that is not empty on the alternative production line, and calculating according to each defect detection unit efficiency that is not empty to determine the production allocation ratio, and allocating the original cups according to the production allocation ratio. The present application has the effect of improving the overall production effect of degradable plastic cups.

Description

Technical Field

[0001] The present application relates to the field of plastic cup production technology, and in particular to a production control method and system for degradable plastic cups. Background Art

[0002] As people's environmental awareness continues to improve and countries' environmental protection requirements for plastic products become increasingly stringent, degradable plastic cups can effectively replace traditional plastic cups due to their degradability.

[0003] In the production process of biodegradable plastic cups, in order to improve production efficiency, the application of "one-to-many" production lines will be introduced, where the "one-to-many" production line has only one production line that outputs the original prototype cups, but there are multiple production lines responsible for printing the surface patterns of the cups. At this time, multiple patterns can be printed at the same time according to different printing tasks. After printing is completed, the output back end of the printing machine can be set up with staff to detect the pattern printing. When cups with defects in pattern printing are found, they will be removed, thereby reducing the occurrence of defective cups entering the subsequent packaging process.

[0004] In the above-mentioned related technologies, in general, the original prototype cups will be evenly distributed to each pattern printing production line in a "one-to-many" production line. However, the printing tasks are different at this time, resulting in different patterns on the cups, and the time required for staff to conduct inspections is also different, resulting in inconsistent production efficiency of multiple production lines. At this time, it is easy for some production lines to pile up printed products while some production lines need to wait for printed products, resulting in poor production results for degradable plastic cups. There is still room for improvement. Summary of the invention

[0005] In order to improve the overall production effect of degradable plastic cups, the present application provides a production control method and system for degradable plastic cups.

[0006] In a first aspect, the present application provides a production control method for degradable plastic cups, which adopts the following technical solution:

[0007] A production control method for a degradable plastic cup, comprising:

[0008] Obtaining printing task patterns of each printing production line;

[0009] Determine the defect detection unit efficiency corresponding to each printing task pattern according to a preset efficiency matching relationship;

[0010] Determine whether there is a situation where the defect detection unit efficiency is empty;

[0011] If there is no defect detection unit efficiency being empty, then the production allocation ratio of each printing production line is determined by calculation according to each defect detection unit efficiency, and the original cups are allocated according to the production allocation ratio;

[0012] If there is a situation where the defect detection unit efficiency is empty, the printing production line corresponding to the defect detection unit efficiency is defined as an alternative production line, and a detection interval with a width of a preset detection time length is established on the preset time axis with the current time point as the rear end point;

[0013] In the inspection area, the number of finished product packages is obtained according to the alternative production line, and the number of completed inspections is determined by calculation based on the number of finished product packages and the preset defective product defect rate;

[0014] The efficiency of the defective inspection units that are not empty on the alternative production line is updated based on the number of completed inspections and the inspection time, and the production allocation ratio is determined based on the efficiency of each defective inspection unit that is not empty, and the original cups are allocated based on the production allocation ratio.

[0015] Optionally, after the detection interval is determined, the production control method for the degradable plastic cup further includes:

[0016] Determine whether the corresponding patterns on the candidate production lines in the detection interval are all printing task patterns at the current time point;

[0017] If the corresponding patterns on the candidate production lines in the detection interval are all the printing task patterns at the current time point, the finished product packaging quantity is obtained;

[0018] If the corresponding patterns on the candidate production lines in the detection interval are not all the printing task patterns at the current time point, the overall model of the finished product is determined according to the printing task pattern and the preset cup body surface model;

[0019] A starting point is randomly determined in the finished product overall model, and equal division points are determined according to the starting point and the preset equal division interval angle, and the area between the starting point and the equal division point and the area between the equal division points are defined as the observation area;

[0020] An observation area where a part of the printing task pattern exists is defined as a required detection area, and counting is performed according to the required detection area to determine the required detection quantity;

[0021] Determine the minimum required detection quantity according to the preset sorting rules, and define the required detection quantity as the most convenient detection quantity;

[0022] The supplementary inspection unit efficiency corresponding to the most convenient inspection quantity is determined according to the preset quantity matching relationship, and the empty defect inspection unit efficiency is updated according to the supplementary inspection unit efficiency, and the production allocation ratio is determined according to the updated defect inspection unit efficiency.

[0023] Optionally, the method further includes a step of determining a quantity matching relationship, the step comprising:

[0024] The pattern whose defect detection unit efficiency in the efficiency matching relationship is not empty is defined as a historical storage pattern;

[0025] Determine the most convenient detection quantity according to each historically stored pattern, and define the most convenient detection quantity as the pattern relative quantity;

[0026] Summarizing the defect detection unit efficiencies of historically stored patterns corresponding to the same relative number of patterns to form an efficiency summary set;

[0027] Randomly select a defect detection unit efficiency in a single efficiency summary set as the first unit efficiency, and define the remaining defect detection unit efficiencies as the second unit efficiency;

[0028] Calculating according to the first unit efficiency and each second unit efficiency to determine the efficiency representative parameter, and defining the first unit efficiency corresponding to the efficiency representative parameter with the largest value as the representative unit efficiency;

[0029] A quantity matching relationship is established based on the relative quantity of each pattern and the corresponding representative unit efficiency.

[0030] Optionally, after the representative unit efficiency is determined, the production control method for the degradable plastic cup further includes:

[0031] Calculate based on representative unit efficiency and preset similar parameters to determine the approximate data interval;

[0032] The defect detection unit efficiency in the similar data interval is defined as the similar unit efficiency;

[0033] The representative unit efficiency is updated by calculating the average value based on the efficiencies of similar units.

[0034] Optionally, the method further includes a step of determining a defect rate of defective products, the step comprising:

[0035] A historical interval with a width of a preset historical time length is established on the time axis with the current time point as the rear end point, and a printing operation interval is determined according to each printing task pattern in the historical interval;

[0036] Obtain the actual output quantity and the actual packaging quantity according to each printing operation interval in the current printing production line;

[0037] The actual number of defects is determined by performing a difference calculation based on the actual output quantity and the actual packaging quantity, and the single defect rate is determined by performing a calculation based on the actual number of defects and the actual output quantity;

[0038] The defect rate of defective products is determined by averaging the defect rates of each individual product.

[0039] Optionally, after the defect detection unit efficiency of each printing production line is determined, the production control method for the degradable plastic cup further includes:

[0040] Establish inspection intervals in each printing production line and determine the actual inspection unit efficiency in the inspection intervals;

[0041] The difference between the defect detection unit efficiency and the actual detection unit efficiency is calculated to determine the deviation detection unit efficiency;

[0042] Determine whether the deviation detection unit efficiency is greater than the preset demand deviation unit efficiency;

[0043] If the deviation detection unit efficiency is not greater than the demand deviation unit efficiency, the currently determined production allocation ratio is maintained;

[0044] If the deviation detection unit efficiency is greater than the demand deviation unit efficiency, the original defect detection unit efficiency is updated according to the actual detection unit efficiency currently determined, so as to redetermine the production allocation ratio according to the updated defect detection unit efficiency and output a work stoppage signal.

[0045] In a second aspect, the present application provides a production control system for degradable plastic cups, which adopts the following technical solution:

[0046] A production control system for degradable plastic cups, comprising:

[0047] An acquisition module, used for acquiring printing task patterns of each printing production line;

[0048] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;

[0049] A judgment module, connected with the acquisition module and the processing module, for judging the information;

[0050] The processing module determines the defect detection unit efficiency corresponding to each printing task pattern according to a preset efficiency matching relationship;

[0051] The judgment module judges whether there is a situation where the defect detection unit efficiency is empty;

[0052] If the judging module judges that there is no situation where the defect detection unit efficiency is empty, the processing module calculates according to each defect detection unit efficiency to determine the production allocation ratio of each printing production line, and allocates the original cups according to the production allocation ratio;

[0053] If the judging module determines that there is a situation where the defect detection unit efficiency is empty, the processing module defines the printing production line corresponding to the defect detection unit efficiency as an alternative production line, and establishes a detection interval with a width of a preset detection time length on the preset time axis with the current time point as the rear end point;

[0054] The processing module obtains the number of finished product packages according to the alternative production line in the inspection section, and calculates the number of completed inspections according to the number of finished product packages and the preset defective product defect rate;

[0055] The processing module calculates according to the number of completed inspections and the inspection time to update the efficiency of the defect inspection units that are not empty on the alternative production line, and calculates according to the efficiency of each defect inspection unit that is not empty to determine the production allocation ratio, and allocates the original cups according to the production allocation ratio.

[0056] In a third aspect, the present application provides a computer storage medium capable of storing corresponding programs, which has the characteristics of improving the overall production effect of degradable plastic cups, and adopts the following technical solutions:

[0057] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned production control methods for degradable plastic cups.

[0058] In summary, the present application includes at least one of the following beneficial technical effects:

[0059] When producing degradable plastic cups, the original prototype cups can be reasonably distributed according to the production efficiency of each printing production line, thereby improving the overall production effect of the degradable plastic cups;

[0060] Analyze each desired printed pattern to predict the detection efficiency, thereby facilitating the allocation of cups;

[0061] The actual cup detection efficiency and the predicted detection efficiency can be analyzed to determine whether the staff are slacking off, which can facilitate management personnel to manage the detection staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a flow chart of a production control method for biodegradable plastic cups.

[0063] Figure 2It is a module flow chart of the production control method for biodegradable plastic cups. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0065] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0066] The present application embodiment discloses a production control method for a degradable plastic cup, referring to Figure 1 The method flow of the production control method for degradable plastic cups comprises the following steps:

[0067] Step S100: Acquire the printing task pattern of each printing production line.

[0068] The printing task pattern is the pattern that each printing production line needs to print on the surface of the cup at present, and can be obtained by calling the character list on the printing production line.

[0069] Step S101: determining the defect detection unit efficiency corresponding to each printing task pattern according to a preset efficiency matching relationship.

[0070] The defect detection unit efficiency is the efficiency value when a skilled worker detects the printing task pattern, wherein the efficiency matching relationship is composed of the printing task patterns that have been generated in the history and the corresponding efficiencies. If the current printing task pattern is not in the efficiency matching relationship, the corresponding defect detection unit efficiency is empty.

[0071] Step S102: Determine whether there is a situation where the defect detection unit efficiency is empty.

[0072] The purpose of the judgment is to find out whether the pattern currently required to be printed has appeared before.

[0073] Step S1021: If there is no situation where the defect detection unit efficiency is empty, then calculation is performed based on each defect detection unit efficiency to determine the production allocation ratio of each printing production line, and the original cups are allocated based on the production allocation ratio.

[0074] When there is no empty defect detection unit efficiency, it means that all current patterns have appeared. At this time, the specific distribution of each cup can be known based on the previous detection efficiency of the pattern. The distribution is also the production distribution ratio. For example, there are three cups with patterns, A, B, and C. The defect detection unit efficiency of A is 2X, the defect detection unit efficiency of B is 2X, and the defect detection unit efficiency of C is X. The corresponding generation distribution ratios are A40%, B40%, and C20%. At this time, the original cups without patterns can be distributed to each production line through the production distribution ratio to improve the overall production effect of the cups.

[0075] Step S1022: If the defect detection unit efficiency is empty, the printing production line corresponding to the defect detection unit efficiency is defined as an alternative production line, and a detection interval with a width of a preset detection time length is established on the preset time axis with the current time point as the rear end point.

[0076] When the defect detection unit efficiency is empty, it means that there is a pattern that has not been printed before. At this time, it is impossible to know the detection efficiency of the pattern. Alternative production lines are defined to distinguish different printing production lines for further analysis. The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time point that has passed to the time point that has not yet arrived, and the left side of the time axis is the time point that has passed, and the left side is defined as the front of the time axis. The detection duration is a fixed duration set by the staff to determine the staff's detection efficiency through this printing job. The detection interval is constructed to facilitate the acquisition and analysis of data within the detection duration.

[0077] Step S103: Obtain the number of finished product packages according to the alternative production line in the inspection section, and calculate the number of completed inspections according to the number of finished product packages and a preset defective product defect rate.

[0078] The number of finished product packages is the number of cups that have been packaged on the alternative production line in the detection interval, and the number of finished product packages can be determined by the weighing link of the next process after the defect detection is completed; the defect rate is the probability that defective products will appear in the current printing equipment during the printing process. This value is determined by the staff based on historical conditions and can be determined by referring to the method of step S500-step S503; the number of completed inspections is the number of cups that the staff has completed inspection in the detection interval, and the calculation formula is: ,in To complete the number of tests, The number of finished product packages. is the defect rate of defective products, where Round up.

[0079] Step S104: Calculate based on the number of completed inspections and the inspection time to update the defect inspection unit efficiency on the alternative production line that is not empty, and calculate based on the efficiency of each defect inspection unit that is not empty to determine the production allocation ratio, and allocate the original cups based on the production allocation ratio.

[0080] The detection efficiency of the current pattern can be determined by dividing the number of completed inspections by the detection time, thereby updating the defect detection unit efficiency to determine the appropriate production allocation ratio based on the efficiency of each defect detection unit.

[0081] After the detection interval is determined, the production control method for degradable plastic cups also includes:

[0082] Step S200: determining whether the corresponding patterns on the candidate production lines in the detection interval are all printing task patterns at the current time point.

[0083] The purpose of the judgment is to find out whether the current pattern has been printed within the detection time.

[0084] Step S2001: If the corresponding patterns on the candidate production lines in the detection interval are all printing task patterns at the current time point, the finished product packaging quantity is obtained.

[0085] When the corresponding patterns on the candidate production lines in the detection interval are all the printing task patterns at the current time point, it means that the current pattern printing process is carried out within the detection time, and the subsequent analysis can be carried out normally.

[0086] Step S2002: If the corresponding patterns on the candidate production lines in the detection interval are not all the printing task patterns at the current time point, the finished product overall model is determined according to the printing task pattern and the preset cup body surface model.

[0087] When the corresponding patterns on the alternative production lines in the detection interval are not all the printing task patterns at the current time point, it means that the printing process is not completely performed according to the current pattern within the detection time. At this time, the subsequent detection efficiency of the current pattern cannot be effectively determined, and further analysis is needed; the cup body surface model is the model when no pattern is printed on the surface of the cup, and the finished product overall model is the cup model with a printed pattern that can be obtained after the printing task pattern is printed on the cup body surface model as required. The finished product overall model can be simulated by combining the pattern and the model.

[0088] Step S201: randomly determine a starting point in the finished product overall model, and determine equal division points according to the starting point and a preset equal division interval angle, and define the area between the starting point and the equal division point and the area between the equal division points as the observation area.

[0089] The starting point is a random position point on the edge contour line of the bottom surface of the finished product overall model. The average division interval angle is the angle value set by the staff to determine that the staff who conduct the inspection can inspect the surface of the cup body at a time. Generally, it is 120°. According to the method of dividing 360° by the average division interval angle, it can be known that the bottom surface of the cup can be divided into several parts. At this time, the boundary points of each part are the equal division points; the area between the starting point and the equal division point is the area separated by the straight lines after setting the starting point and the equal division point along the length direction of the cup. The defined observation area is the position area that the staff who detect defects can inspect at a time.

[0090] Step S202: defining the observation area where part of the printing task pattern exists as a required detection area, and counting is performed according to the required detection area to determine the required detection quantity.

[0091] When there are partial printing task patterns, it means that the area needs to be inspected for defects by staff. At this time, it is defined as a required inspection area to distinguish different observation areas for subsequent analysis; the number of required inspections is the total number of determined required inspection areas.

[0092] Step S203: determining the required detection quantity with the smallest value according to a preset sorting rule, and defining the required detection quantity as the most convenient detection quantity.

[0093] The sorting rule is a method set by the staff to sort the numerical values, such as the bubble method. The sorting rule can be used to determine the minimum number of required inspections, that is, the minimum number of areas that the staff needs to inspect for the current pattern. At this time, it is defined as the most convenient number of inspections for subsequent analysis.

[0094] Step S204: Determine the supplementary inspection unit efficiency corresponding to the most convenient inspection quantity according to the preset quantity matching relationship, update the empty defect inspection unit efficiency according to the supplementary inspection unit efficiency, and determine the production allocation ratio according to the updated defect inspection unit efficiency.

[0095] The supplementary inspection unit efficiency refers to the theoretical inspection efficiency that can be achieved when inspecting the printed pattern model with the most convenient inspection quantity. Different most convenient inspection quantities have different corresponding quantity matching relationships due to the different numbers of areas that need to be inspected. The quantity matching relationship between the two can be determined in advance by the staff through multiple tests, or by the method of steps S300-S305. At this time, the defect inspection unit efficiency previously representing the pattern of the printing task is updated by the newly determined supplementary inspection unit efficiency, so as to facilitate the subsequent determination of a more reasonable production allocation ratio.

[0096] The step of determining the quantity matching relationship is also included, and the step includes:

[0097] Step S300: defining the pattern whose defect detection unit efficiency in the efficiency matching relationship is not empty as a historical storage pattern.

[0098] Defining historical storage patterns means marking patterns that have appeared in historical situations to facilitate subsequent analysis.

[0099] Step S301: determining the most convenient detection quantity according to each historically stored pattern, and defining the most convenient detection quantity as the pattern relative quantity.

[0100] The relative number of patterns is defined to identify the most convenient detection number of each pattern under historical circumstances, which is convenient for subsequent analysis.

[0101] Step S302: Summarize the defect detection unit efficiencies of historically stored patterns corresponding to the same pattern relative quantity to form an efficiency summary set.

[0102] The induction efficiency is summarized into a set to distinguish the defect detection unit efficiency of patterns with the same relative number of patterns, so as to facilitate subsequent analysis.

[0103] Step S303: randomly selecting a defect detection unit efficiency in a single efficiency summary set as a first unit efficiency, and defining the remaining defect detection unit efficiencies as second unit efficiencies.

[0104] The first unit efficiency and the second unit efficiency are defined to distinguish data of different defect detection unit efficiencies for subsequent analysis.

[0105] Step S304: performing calculations according to the first unit efficiency and each second unit efficiency to determine an efficiency representative parameter, and defining the first unit efficiency corresponding to the efficiency representative parameter having the largest value as the representative unit efficiency.

[0106] The efficiency representative parameter is a parameter that reflects the feasibility of the current first unit efficiency representing the remaining second unit efficiencies. The larger the value, the more the first unit efficiency can represent the remaining second unit efficiencies. The efficiency representative parameter can be determined by calculating the difference between the first unit efficiency and each second unit efficiency, summing them up and finding the inverse. Defining the representative unit efficiency can identify the defect detection unit efficiency that best represents each defect detection unit efficiency under the current efficiency summary set, that is, under the relative number of patterns, the detection efficiency that can be achieved under theoretical circumstances is the representative unit efficiency.

[0107] Step S305: constructing a quantity matching relationship according to the relative quantity of each pattern and the corresponding representative unit efficiency.

[0108] According to the relative quantity of each pattern and the corresponding representative unit efficiency, the relationship between quantity and efficiency can be known, so that the quantity matching relationship can be constructed.

[0109] After the representative unit efficiency is determined, the production control method for degradable plastic cups also includes:

[0110] Step S400: performing calculations based on the representative unit efficiency and preset similar parameters to determine a similar data interval.

[0111] The similar parameter reflects the maximum difference between the representative unit efficiency and the other efficiencies that are close to the representative unit efficiency. The similar data interval is the interval in which the parameters that are close to the representative unit efficiency can be located. The upper and lower endpoints of the similar data interval are determined by adding and subtracting the similar parameter from the representative unit efficiency.

[0112] Step S401: defining the defect detection unit efficiency in a similar data interval as a similar unit efficiency.

[0113] Define similar unit efficiencies to distinguish different defect detection unit efficiencies for subsequent analysis.

[0114] Step S402: Calculate the average value according to the similar unit efficiencies to update the representative unit efficiency.

[0115] By calculating the average value of similar unit efficiencies, efficiency data with representative meaning can be obtained. At this time, the representative unit efficiency is updated using this data to make the quantity matching relationship determined subsequently more accurate.

[0116] Also included is a step of determining a defect rate of defective products, the step comprising:

[0117] Step S500: establishing a history interval with a width of a preset history time length on the time axis with the current time point as the rear end point, and determining a printing operation interval according to each printing task pattern in the history interval.

[0118] The historical duration is the duration set by the staff to obtain data on the historical usage of each production line. The historical interval is constructed to facilitate the acquisition and analysis of data within the historical duration; the printing operation interval is the interval for printing a single printing task pattern. When the same pattern is printed at different time points, there should be corresponding different printing operation intervals.

[0119] Step S501: obtaining the actual output quantity and the actual packaging quantity according to each printing operation interval in the current printing production line.

[0120] The actual output quantity is the number of cups of printing tasks completed in the printing operation interval on the printing production line, which can be determined by a counter at the output end of the printing device; the actual packaging quantity is the number of cups that have been packaged in the printing operation interval.

[0121] Step S502: Calculate the difference between the actual output quantity and the actual packaging quantity to determine the actual defect quantity, and calculate the single defect rate based on the actual defect quantity and the actual output quantity.

[0122] The actual number of defects refers to the number of cups with defects detected in the printing operation interval, which can be determined by subtracting the actual packaging quantity from the actual output quantity; the single defect rate reflects the probability value of defects in the currently printed cups, which is determined by dividing the actual number of defects by the actual output quantity.

[0123] Step S503: Calculate the average of each single defect rate to determine the defective product defect rate.

[0124] The average defect situation of the current printing production line can be obtained by calculating the average value of each single defect rate, so that the defect rate of the defective products of the production line can be determined.

[0125] After the defect detection unit efficiency of each printing production line is determined, the production control method for the biodegradable plastic cup also includes:

[0126] Step S600: constructing a detection interval in each printing production line, and determining an actual detection unit efficiency in the detection interval.

[0127] The actual detection unit efficiency is the actual detection efficiency of the cup by the staff in the detection range.

[0128] Step S601: performing a difference calculation based on the defect detection unit efficiency and the actual detection unit efficiency to determine the deviation detection unit efficiency.

[0129] The deviation detection unit efficiency is the efficiency deviation value between the actual situation and the theoretical expectation, which is determined by subtracting the actual detection unit efficiency from the defect detection unit efficiency.

[0130] Step S602: Determine whether the deviation detection unit efficiency is greater than a preset demand deviation unit efficiency.

[0131] The required deviation unit efficiency is the minimum deviation detection unit efficiency set by the staff to be determined as the minimum change in detection efficiency. The purpose of the judgment is to find out whether the detection efficiency of the current staff has changed significantly.

[0132] Step S6021: If the deviation detection unit efficiency is not greater than the demand deviation unit efficiency, the currently determined production allocation ratio is maintained.

[0133] When the deviation detection unit efficiency is not greater than the demand deviation unit efficiency, it means that there is no large deviation in the detection efficiency, and normal production processing can be carried out.

[0134] Step S6022: If the deviation detection unit efficiency is greater than the demand deviation unit efficiency, the original defect detection unit efficiency is updated according to the actual detection unit efficiency currently determined, so as to redetermine the production allocation ratio according to the updated defect detection unit efficiency, and output an idle signal.

[0135] When the deviation detection unit efficiency is greater than the demand deviation unit efficiency, it means that the detection efficiency has decreased significantly and the staff are slacking off. Therefore, a slacking signal is output to record the situation so that the management personnel can be informed of the situation in time. At the same time, the defect detection unit efficiency is updated so that the production allocation ratio can be readjusted according to the efficiency situation to improve the overall operation effect of cup production.

[0136] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides a production control system for degradable plastic cups, including:

[0137] An acquisition module, used for acquiring printing task patterns of each printing production line;

[0138] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;

[0139] A judgment module, connected with the acquisition module and the processing module, for judging the information;

[0140] The processing module determines the defect detection unit efficiency corresponding to each printing task pattern according to a preset efficiency matching relationship;

[0141] The judgment module judges whether there is a situation where the defect detection unit efficiency is empty;

[0142] If the judging module judges that there is no situation where the defect detection unit efficiency is empty, the processing module calculates according to each defect detection unit efficiency to determine the production allocation ratio of each printing production line, and allocates the original cups according to the production allocation ratio;

[0143] If the judging module determines that there is a situation where the defect detection unit efficiency is empty, the processing module defines the printing production line corresponding to the defect detection unit efficiency as an alternative production line, and establishes a detection interval with a width of a preset detection time length on the preset time axis with the current time point as the rear end point;

[0144] The processing module obtains the number of finished product packages according to the alternative production line in the inspection section, and calculates the number of completed inspections according to the number of finished product packages and the preset defective product defect rate;

[0145] The processing module calculates according to the number of completed inspections and the inspection time to update the defect inspection unit efficiency that is not empty on the candidate production line, and calculates according to the defect inspection unit efficiency that is not empty to determine the production allocation ratio, and allocates the original cups according to the production allocation ratio;

[0146] A pattern situation analysis module is used to analyze the pattern situation required for printing inspection to predict the inspection efficiency;

[0147] A quantity matching relationship determination module is used to determine a relatively accurate quantity matching relationship;

[0148] A representative unit efficiency update module updates the determined representative unit efficiency by combining parameters with similar distances;

[0149] A defective product defect rate determination module is used to determine the defective product defect rate more accurately;

[0150] The slacking situation analysis module is used to detect and analyze possible slacking situations of staff.

[0151] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0152] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor and is used for a production control method of a degradable plastic cup.

[0153] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

Claims

1. A production control method for degradable plastic cups, characterized in that: include: Obtaining printing task patterns of each printing production line; Determine the defect detection unit efficiency corresponding to each printing task pattern according to the preset efficiency matching relationship, wherein the defect detection unit efficiency is the efficiency value when a skilled worker detects the printing task pattern, wherein the efficiency matching relationship is composed of the printing task patterns that have been generated in the past and the corresponding efficiencies, and if the current printing task pattern is not in the efficiency matching relationship, the corresponding defect detection unit efficiency is empty; Determine whether there is a situation where the defect detection unit efficiency is empty; If there is no defect detection unit efficiency being empty, then the production allocation ratio of each printing production line is determined by calculation according to each defect detection unit efficiency, and the original cups are allocated according to the production allocation ratio; If there is a situation where the defect detection unit efficiency is empty, the printing production line corresponding to the defect detection unit efficiency is defined as an alternative production line, and a detection interval with a width of a preset detection time length is established on the preset time axis with the current time point as the rear end point; In the inspection area, the number of finished product packages is obtained according to the alternative production line, and the number of completed inspections is determined by calculation based on the number of finished product packages and the preset defective product defect rate; The efficiency of the defective inspection units that are not empty on the alternative production line is updated based on the number of completed inspections and the inspection time, and the production allocation ratio is determined based on the efficiency of each defective inspection unit that is not empty, and the original cups are allocated based on the production allocation ratio.

2. The production control method for degradable plastic cups according to claim 1, characterized in that: After the detection interval is determined, the production control method for degradable plastic cups also includes: Determine whether the corresponding patterns on the candidate production lines in the detection interval are all printing task patterns at the current time point; If the corresponding patterns on the candidate production lines in the detection interval are all the printing task patterns at the current time point, the finished product packaging quantity is obtained; If the corresponding patterns on the candidate production lines in the detection interval are not all the printing task patterns at the current time point, the overall model of the finished product is determined according to the printing task pattern and the preset cup body surface model; A starting point is randomly determined in the finished product overall model, and equal division points are determined according to the starting point and the preset equal division interval angle, and the area between the starting point and the equal division point and the area between the equal division points are defined as the observation area; An observation area where a part of the printing task pattern exists is defined as a required detection area, and counting is performed according to the required detection area to determine the required detection quantity; Determine the minimum required detection quantity according to the preset sorting rules, and define the required detection quantity as the most convenient detection quantity; The supplementary inspection unit efficiency corresponding to the most convenient inspection quantity is determined according to the preset quantity matching relationship, and the empty defect inspection unit efficiency is updated according to the supplementary inspection unit efficiency, and the production allocation ratio is determined according to the updated defect inspection unit efficiency.

3. The production control method for degradable plastic cups according to claim 2, characterized in that: The step of determining the quantity matching relationship is also included, and the step includes: The pattern whose defect detection unit efficiency in the efficiency matching relationship is not empty is defined as a historical storage pattern; Determine the most convenient detection quantity according to each historically stored pattern, and define the most convenient detection quantity as the pattern relative quantity; Summarizing the defect detection unit efficiencies of historically stored patterns corresponding to the same relative number of patterns to form an efficiency summary set; Randomly select a defect detection unit efficiency in a single efficiency summary set as the first unit efficiency, and define the remaining defect detection unit efficiencies as the second unit efficiency; Calculating according to the first unit efficiency and each second unit efficiency to determine the efficiency representative parameter, and defining the first unit efficiency corresponding to the efficiency representative parameter with the largest value as the representative unit efficiency; A quantity matching relationship is established based on the relative quantity of each pattern and the corresponding representative unit efficiency.

4. The production control method for degradable plastic cups according to claim 3, characterized in that: After the representative unit efficiency is determined, the production control method for degradable plastic cups also includes: Calculate based on representative unit efficiency and preset similar parameters to determine the approximate data interval; The defect detection unit efficiency in the similar data interval is defined as the similar unit efficiency; The representative unit efficiency is updated by calculating the average value based on the efficiencies of similar units.

5. The production control method for degradable plastic cups according to claim 1, characterized in that: Also included is a step of determining a defect rate of defective products, the step comprising: A historical interval with a width of a preset historical time length is established on the time axis with the current time point as the rear end point, and a printing operation interval is determined according to each printing task pattern in the historical interval; Obtain the actual output quantity and the actual packaging quantity according to each printing operation interval in the current printing production line; The actual number of defects is determined by performing a difference calculation based on the actual output quantity and the actual packaging quantity, and the single defect rate is determined by performing a calculation based on the actual number of defects and the actual output quantity; The defect rate of defective products is determined by averaging the defect rates of each individual product.

6. The production control method for degradable plastic cups according to claim 1, characterized in that: After the defect detection unit efficiency of each printing production line is determined, the production control method for the biodegradable plastic cup also includes: Establish inspection intervals in each printing production line and determine the actual inspection unit efficiency in the inspection intervals; The deviation detection unit efficiency is determined by performing a difference calculation based on the defect detection unit efficiency and the actual detection unit efficiency; Determine whether the deviation detection unit efficiency is greater than the preset demand deviation unit efficiency; If the deviation detection unit efficiency is not greater than the demand deviation unit efficiency, the currently determined production allocation ratio is maintained; If the deviation detection unit efficiency is greater than the demand deviation unit efficiency, the original defect detection unit efficiency is updated according to the actual detection unit efficiency currently determined, so as to redetermine the production allocation ratio according to the updated defect detection unit efficiency and output a work stoppage signal.

7. A production control system for degradable plastic cups, characterized in that: include: An acquisition module, used for acquiring printing task patterns of each printing production line; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module determines the defect detection unit efficiency corresponding to each printing task pattern according to the preset efficiency matching relationship, wherein the defect detection unit efficiency is the efficiency value when a skilled worker detects the printing task pattern, wherein the efficiency matching relationship is composed of the printing task patterns that have been generated in the past and the corresponding efficiencies, and if the current printing task pattern is not in the efficiency matching relationship, the corresponding defect detection unit efficiency is empty; The judgment module judges whether there is a situation where the defect detection unit efficiency is empty; If the judging module judges that there is no situation where the defect detection unit efficiency is empty, the processing module calculates according to each defect detection unit efficiency to determine the production allocation ratio of each printing production line, and allocates the original cups according to the production allocation ratio; If the judging module determines that there is a situation where the defect detection unit efficiency is empty, the processing module defines the printing production line corresponding to the defect detection unit efficiency as an alternative production line, and establishes a detection interval with a width of a preset detection time length on the preset time axis with the current time point as the rear end point; The processing module obtains the number of finished product packages according to the alternative production line in the inspection section, and calculates the number of completed inspections according to the number of finished product packages and the preset defective product defect rate; The processing module calculates according to the number of completed inspections and the inspection time to update the efficiency of the defect inspection units that are not empty on the alternative production line, and calculates according to the efficiency of each defect inspection unit that is not empty to determine the production allocation ratio, and allocates the original cups according to the production allocation ratio.

8. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and execute the production control method for degradable plastic cups as claimed in any one of claims 1 to 6.

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