Feedback period acquisition method and system of cigarette equipment, medium and electronic equipment

Abstract

The invention provides a feedback period acquisition method of cigarette equipment, and the feedback period acquisition method comprises the steps: obtaining production data of cigarette quality characteristics, the quality characteristics being parameter indexes in a cigarette production process; screening the production data to obtain stable production data of the cigarette quality characteristics; obtaining the thickness and the change rate of the stable production data and / or the target fixed group length of the stable production data according to the stable production data; and obtaining a feedback period of the cigarette quality characteristics according to the thickness, the change rate and / or the target fixed group leader. According to the feedback period acquisition method provided by the invention, the feedback period of the machine equipment can be regulated and controlled, so that the accuracy of state judgment of the machine equipment is improved.

Description

Technical Field

[0001] This application belongs to the field of cigarette production technology and relates to a method, system, medium and electronic equipment for obtaining the feedback cycle of cigarette equipment. Background Technology

[0002] The feedback cycle refers to the time interval within which a control system responds to equipment status information and adjusts its control output. In digital control systems, the feedback cycle is typically an integer multiple of the sampling period. Currently, the feedback cycle is mainly calculated based on the relevant settings of parameters in the equipment control, and it is not possible to dynamically monitor the actual feedback cycle. Cigarette-making machines possess internal control mechanisms to ensure normal operation. However, problems such as untimely adjustments can occur, leading to abnormal machine operation and impacting production results. Summary of the Invention

[0003] The purpose of this application is to provide a method, system, medium, and electronic device for obtaining the feedback cycle of cigarette equipment, which is used to regulate the feedback cycle of the equipment to improve the accuracy of the equipment status judgment.

[0004] In a first aspect, this application provides a method for obtaining the feedback cycle of cigarette manufacturing equipment. The method includes: acquiring production data of cigarette quality characteristics, wherein the quality characteristics are parameter indicators in the cigarette production process; filtering the production data to obtain stable production data of the cigarette quality characteristics; obtaining the thickness, rate of change, and / or target fixed group length of the stable production data based on the stable production data; and obtaining the feedback cycle of the cigarette quality characteristics based on the thickness, the rate of change, and / or the target fixed group length.

[0005] In one implementation of the first aspect, the process of filtering the production data to obtain stable production data on the quality characteristics of the cigarettes includes: removing abnormal data from the production data to obtain the stable production data.

[0006] In one implementation of the first aspect, the process of obtaining the thickness of the stable production data includes: obtaining the upper limit curve and the lower limit curve of the stable production data; obtaining the thickness curve based on the difference between the upper limit curve and the lower limit curve; and obtaining the thickness of the stable production data based on the mean of the thickness curve.

[0007] In one implementation of the first aspect, the process of obtaining the rate of change of the stable production data includes: obtaining the difference between adjacent data points based on the stable production data, wherein the time interval between the adjacent data points is a time period; dividing the stable production data into a positive rate of change group and a negative rate of change group based on the sign of the difference; comparing the mean of the positive rate of change group with the mean of the negative rate of change group, and if the comparison result is the same, then taking the comparison result as the rate of change of the stable production data.

[0008] In one implementation of the first aspect, the process of obtaining the feedback period of the cigarette quality characteristic based on the thickness and the rate of change includes: obtaining a positive feedback period based on the thickness and the positive rate of change; obtaining a negative feedback period based on the thickness and the negative rate of change; comparing the positive feedback period and the negative feedback period, and if the positive feedback period and the negative feedback period are the same, then using the positive feedback period or the negative feedback period as the feedback period of the cigarette quality characteristic.

[0009] In one implementation of the first aspect, the process of obtaining the target fixed group leader of the stable production data includes: dividing the stable production data into multiple arrays according to different length standards, wherein the fixed group leader is set according to different length standards; obtaining the thickness of the multiple arrays based on the difference between the maximum and minimum values ​​of the multiple arrays; comparing the thickness of the stable production data with the thickness of the multiple arrays, and taking the group leader of the array with the same thickness as the stable production data as the target fixed group leader.

[0010] In one implementation of the first aspect, the process of obtaining the feedback period based on the thickness and the target fixed group leader includes: dividing the stable production data into multiple arrays according to the target fixed group leader; obtaining the average value of the position differences of the multiple arrays based on the position difference of the maximum value in each array; and obtaining the feedback period based on the average value of the position differences of the multiple arrays and the time interval between adjacent data points.

[0011] Secondly, this application provides a feedback cycle acquisition system, the feedback cycle acquisition system comprising: a production data acquisition module for acquiring production data of cigarette manufacturing equipment; a screening and processing module for screening the production data to obtain stable production data; a process processing module for acquiring the thickness, rate of change, and / or target fixed group length of the stable production data based on the stable production data; and a feedback cycle acquisition module for acquiring the feedback cycle based on the thickness, the rate of change, and / or the target fixed group length.

[0012] Thirdly, this application provides an electronic device, the electronic device comprising: a memory storing a computer program thereon; and a processor communicatively connected to the memory for executing the computer program to implement the above-described feedback cycle acquisition method.

[0013] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-described feedback cycle acquisition method.

[0014] As described above, the feedback cycle acquisition method, system, medium, and electronic device of the cigarette-making equipment described in this application have the following beneficial effects:

[0015] The feedback cycle acquisition method provided in this application obtains stable production data on cigarette quality characteristics by filtering production data, and then obtains the corresponding thickness, rate of change, and target fixed group length based on the stable production data to obtain the feedback cycle of cigarette quality characteristics. This method reduces ineffective operations and resource waste in the production process, ensuring the stability of the production process and product quality. Furthermore, using this method to regulate the feedback cycle is more conducive to obtaining accurate status judgments of machinery and equipment. Attached Figure Description

[0016] Figure 1 The diagram shows a process schematic of the feedback cycle acquisition method described in the embodiments of this application.

[0017] Figure 2 The diagram shows a process for obtaining stable production data thickness as described in an embodiment of this application.

[0018] Figure 3 The diagram shows a process for obtaining the rate of change of stable production data as described in an embodiment of this application.

[0019] Figure 4 This diagram illustrates the process of obtaining the feedback cycle of cigarette quality characteristics as described in an embodiment of this application.

[0020] Figure 5 This is a schematic diagram illustrating the process of obtaining stable production data for a target fixed team leader as described in an embodiment of this application.

[0021] Figure 6 This diagram illustrates the process of obtaining the feedback cycle of cigarette quality characteristics as described in an embodiment of this application.

[0022] Figure 7 The diagram shown is a schematic representation of the feedback cycle acquisition system described in this application embodiment.

[0023] Figure 8 The diagram shown is a structural schematic of the electronic device described in an embodiment of this application.

[0024] Component designation explanation

[0025] 1 Feedback Cycle Acquisition System

[0026] 11 Production Data Acquisition Module

[0027] 12 Filtering Processing Module

[0028] 13 Processing Module

[0029] 14 Feedback Cycle Acquisition Module

[0030] 2 Electronic devices

[0031] 21. Memory

[0032] 22 processors

[0033] Steps S11 to S14

[0034] Steps S21 to S23

[0035] Steps S31 to S33

[0036] Steps S41 to S43

[0037] Steps S51 to S53

[0038] Steps S61 to S63 Detailed Implementation

[0039] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0040] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0041] The feedback cycle refers to the time interval during which a control system responds to equipment status information and adjusts its control output. In digital control systems, the feedback cycle is typically an integer multiple of the sampling period. Currently, the feedback cycle is mainly calculated based on the relevant parameter settings in the equipment control, and it's impossible to dynamically monitor the actual feedback cycle. Cigarette-making machines possess internal control mechanisms to ensure normal operation. However, problems such as untimely adjustments can occur, leading to abnormal operation and impacting production results. To monitor the normal operation of the machine's control mechanism, it's necessary to calculate the feedback cycle based on the machine's control mechanisms and then develop a set of anomaly detection rules.

[0042] At least in response to the above problems, the following embodiments of this application provide a method for obtaining the feedback cycle of a cigarette-making device.

[0043] The technical solutions in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0044] Figure 1 This is a schematic diagram illustrating the process of obtaining the feedback period in one embodiment of this application. For example... Figure 1 As shown, the feedback period acquisition method includes:

[0045] S11, Obtain production data on cigarette quality characteristics, wherein the quality characteristics are parameter indicators that can affect the quality of cigarette products during the cigarette production process.

[0046] For example, the parameters of cigarettes include physical parameters, chemical parameters, and process parameters. Physical parameters can include the moisture content of the tobacco, the weight of the cigarette, the length and diameter of the cigarette, and the density of the cigarette. Chemical parameters can include the content of components such as nicotine and tar. Process parameters include, for example, the expansion rate of the stems, the temperature of the tobacco, the width of the cut tobacco, and the draw resistance of the filter rod.

[0047] S12, the production data is filtered to obtain stable production data for the quality characteristics of the cigarettes. The stable production data refers to the stable data generated by the machinery and equipment within a production period. The stable production data can be production data from four quarters, but this application is not limited to this.

[0048] S13, obtain the thickness, rate of change and / or target fixed group length of the stable production data based on the stable production data.

[0049] Specifically, the thickness of the stable production data refers to the maximum variation in the stable production data, that is, the maximum range within which a certain parameter value can fluctuate during the cigarette production process. When the measured value of the parameter fluctuates within the range of the maximum variation, the production process is considered stable.

[0050] The rate of change of the stable production data refers to the amount of change in data between adjacent time points or connected samples during the production process. The rate of change of the stable production data measures the speed at which a parameter changes over time. By monitoring the rate of change during cigarette production, dynamic changes in the production process can be monitored. When the rate of change changes significantly, it indicates that unstable or abnormal fluctuations have occurred in the production process. The magnitude of the rate of change allows for timely adjustments to the cigarette equipment.

[0051] The stable production data is grouped into fixed quantities, and the number of data in the group whose group leader thickness is equal to the stable production data thickness is used as the target fixed group leader of the stable production data.

[0052] S14, obtain the feedback period for the cigarette quality characteristics based on the thickness, the rate of change, and / or the target fixed group length. The feedback period is the time interval between the control system responding to equipment status information and adjusting the control output.

[0053] As described above, the feedback cycle acquisition method provided in this application can process production data to obtain stable production data on cigarette quality characteristics. Based on the stable production data, it can further obtain data thickness, rate of change, and target fixed group length, and then obtain a precise feedback cycle for cigarette quality characteristics based on the thickness, rate of change, and target fixed group length. The feedback cycle is used to monitor and adjust key time intervals in the cigarette equipment production process, and by controlling the feedback cycle, a precise judgment of the cigarette equipment status can be obtained.

[0054] In one embodiment of this application, the process of filtering the production data to obtain stable production data of the cigarette quality characteristics includes: removing abnormal data from the production data to obtain the stable production data.

[0055] For example, the abnormal data includes invalid values, data with parameter indicators of 0, material head and tail data, and abnormal operation data. Among them, the material head and tail data are unstable data at the beginning and section of the production process.

[0056] In some embodiments, the data is saved to a database as a CSV file. The process of filtering the above data to obtain stable production data on cigarette quality characteristics includes:

[0057] Step 1: Collect the temperature data after the filament expansion and the STS steam flow rate data before drying for a given year, with each data point taken in 6-second intervals, and save them in CSV file format.

[0058] Step two: Import the CSV file data into Excel, excluding all points that clearly do not meet the data metric, where the excluded value is 0. Specifically, if the filtered data exceeds the capacity of the Excel file, the data should be divided into four quarters and imported into the Excel file four times, after filtering out values.

[0059] Step 3: Delete the head and tail data of continuous temperature data and steam flow data, for example, data within a certain time period.

[0060] Figure 2 This diagram illustrates the process of obtaining stable production data for thickness in one embodiment of this application. Figure 2 As shown, the process of obtaining the thickness of the stable production data includes:

[0061] S21, Obtain the upper limit curve and lower limit curve of the stable production data.

[0062] Specifically, the upper limit curve is a fitted curve obtained based on the highest value of the stable production data, and the lower limit curve is a fitted curve obtained based on the lowest value of the stable production data. Both the upper and lower limit curves encompass all data points from the stable production data set.

[0063] S22, obtain the thickness curve based on the difference between the upper limit curve and the lower limit curve.

[0064] Specifically, the difference between the upper limit curve and the lower limit curve is used to obtain the thickness curve of stable production data.

[0065] S23, obtain the thickness of the stable production data based on the average value of the thickness curve.

[0066] In some embodiments, it is assumed that the stable production data is a set of 100 continuous and stable data. The stable production data is imported into the software MATLAB. After processing the stable production data through the curve fitter, the top and bottom layer data are obtained. Polynomial fitting is used to fit the top and bottom layer data. Please refer to Figure 1-2. The result of the upper limit curve is y1=0.1277x^(5)+0.1364x^(4)-0.2634x^(3)-0.1695x^(2)+0.0997x+90.1920. The result of the lower limit curve is y2=0.0735x^(5)+0.0887x^(4)-0.1340x^(3)-0.0705x^(2)+0.0983x+89.6934. The thickness curve of the stable production data is obtained by subtracting the lower limit curve from the upper limit curve: y3 = 0.0542x^(5) + 0.0477x^(4) - 0.1294x^(3) - 0.099x^(2) + 0.0014x + 0.4986. Calculating the mean of the thickness curve yields a thickness of 0.5 for this set of stable production data.

[0067] Figure 3 This diagram illustrates the process of obtaining the rate of change of stable production data in one embodiment of this application. Figure 3 As shown, the process of obtaining the rate of change of the stable production data includes:

[0068] S31, obtain the difference between adjacent point data based on the stable production data, wherein the time interval between adjacent point data is a time period.

[0069] S32, the stable production data is divided into a positive rate of change group and a negative rate of change group according to the sign of the difference.

[0070] S33, compare the mean of the positive rate of change group with the mean of the negative rate of change group. If the comparison results are the same, then take the mean of the positive rate of change group or the mean of the negative rate of change group as the rate of change of the stable production data.

[0071] In some embodiments, it is assumed that Table 1 contains temperature data of the stems after expansion every six seconds in a cigarette rolling machine.

[0072] Step 1: Calculate the difference between adjacent points, see Table 2.

[0073] Step 2: Calculate the positive and negative rates of change. The positive rate of change is the difference sequence for temperature increase: 1, 1, 1, 1, 1. The negative rate of change is the difference sequence for temperature decrease: -1, -1, -1.

[0074] Step 3: Calculate the mean. The mean of the positive rate of change is (1+1+1+1+1) / 5 = 1. The mean of the negative rate of change is (-1-1-1) / 3 = -1. Since the mean of the positive and negative rates of change is the same, the rate of change is 1 degree Celsius / 6 seconds.

[0075] In another implementation, the mode of the positive rate of change group is compared with the mode of the negative rate of change group. If the comparison results are the same, the comparison results are taken as the rate of change of the stable production data.

[0076] In other embodiments, it is assumed that Table 1 is a set of temperature data for the shredded tobacco after it expands every six seconds in a cigarette rolling machine.

[0077] Step 1: Calculate the difference between adjacent points, see Table 2.

[0078] Step 2: Calculate the positive and negative rates of change. The positive rate of change is the difference sequence for temperature increase: 1, 1, 1, 1, 1. The negative rate of change is the difference sequence for temperature decrease: -1, -1, -1.

[0079] Step 3: Calculate the mode. The mode of a positive rate of change is 1, and the mode of a negative rate of change is -1. Since the modes of both positive and negative rates of change are the same, the rate of change is 1 degree Celsius / 6 seconds.

[0080] In some implementations, the mean and mode are compared, and if the mean and mode are consistent, the mean and / or mode are used as the rate of change of the stable production data.

[0081] In other embodiments, it is assumed that Table 1 is a set of temperature data for the shredded tobacco after it expands every six seconds in a cigarette rolling machine.

[0082] Step 1: Calculate the difference between adjacent points, see Table 2.

[0083] Step 2: Calculate the positive and negative rates of change. The positive rate of change is the difference sequence for temperature increase: 1, 1, 1, 1, 1. The negative rate of change is the difference sequence for temperature decrease: -1, -1, -1.

[0084] Step 3: Calculate the mean and mode. For a positive rate of change, the mean = 1 and the mode = 1. For a negative rate of change, the mean = -1 and the mode = -1. Therefore, the mean and mode of both positive and negative rates of change are the same, and the rate of change is 1 degree Celsius per 6 seconds.

[0085] Table 1 Temperature data after the filaments expanded

[0086]

[0087] Table 2 Differences between adjacent points

[0088]

[0089] Figure 4 This is a schematic diagram illustrating the process of obtaining the feedback cycle of the cigarette quality characteristics in one embodiment of this application. For example... Figure 4 As shown, the process of obtaining the feedback cycle of the cigarette quality characteristics based on the thickness and the rate of change includes:

[0090] S41, obtain the positive feedback period based on the thickness and the positive rate of change. The positive feedback period is obtained by dividing the thickness of the stable production data by the positive rate of change. The positive feedback period is the feedback period for positive data changes.

[0091] S42, obtain the negative feedback period based on the thickness and the negative change rate. The negative feedback period is obtained by dividing the thickness of the stable production data by the negative change rate. The negative feedback period is the feedback period for negative changes in the data.

[0092] S43, compare the positive feedback period and the negative feedback period. If the positive feedback period and the negative feedback period are the same, then the positive feedback period or the negative feedback period is used as the feedback period of the cigarette quality characteristics.

[0093] Figure 5 This is a schematic diagram illustrating the process of obtaining the stable production data for a target fixed group leader in one embodiment of this application. (See diagram below.) Figure 5 As shown, the process for obtaining the target fixed group leader of the stable production data includes:

[0094] S51, the stable production data is divided into multiple arrays according to different length standards and fixed group lengths. The fixed group lengths are set according to different length standards. Different length standards include shorter, medium, and longer, and different length standards can be set according to actual needs.

[0095] S52, obtain the thickness of the multiple arrays based on the difference between the maximum and minimum values ​​of the multiple arrays. The thickness of the array is the difference between the maximum and minimum values ​​of the corresponding array. The thickness of the corresponding array of the given length standard is obtained by averaging the differences between the maximum and minimum values ​​of the multiple arrays.

[0096] S53, compare the thickness of the stable production data with the thickness of the arrays corresponding to different length standards, and take the array group length that is the same as the thickness of the stable production data as the target fixed group length.

[0097] In some embodiments, assuming there are 100 temperature data points after the filaments have expanded, the process of obtaining the target fixed group length includes:

[0098] Step 1: Divide the 100 data points into multiple arrays with group lengths of 10, 15, and 20.

[0099] Step 2: Obtain the difference between the maximum and minimum values ​​of each array and the thickness of multiple arrays.

[0100] 1) When the fixed group leader is 10, the 100 data points are divided into 10 groups.

[0101] The maximum value of the first group is 84, and the minimum value is 75, located at the 10th and 1st positions respectively. The maximum value of the second group is 86, and the minimum value is 77, located at the 2nd and 3rd positions respectively.

[0102] 2) When the fixed group leader is 15, the 100 data points are divided into 7 groups.

[0103] The maximum value of the first group is 90, and the minimum value is 75, located at the 6th and 1st positions respectively. The maximum value of the second group is 86, and the minimum value is 78, located at the 2nd and 4th positions respectively.

[0104] 3) When the fixed group leader is 20, the 100 data points are divided into 5 groups.

[0105] The maximum value of the first group is 90, and the minimum value is 75, located at the 6th and 1st positions respectively. The maximum value of the second group is 86, and the minimum value is 77, located at the 2nd and 3rd positions respectively.

[0106] Step 3: Calculate the extreme value difference for each array and obtain the array thickness based on the extreme value difference.

[0107] 1) When the fixed group length is 10, the extreme value differences are 9, 9, 9, ..., 9, and the average thickness is 0.36.

[0108] 2) When the fixed group length is 15, the extreme value differences are 15, 8, 12, ..., 14, and the average thickness is 0.44.

[0109] 3) When the fixed group length is 20, the extreme value differences are 15, 9, 13, ..., 11, and the average thickness is 0.5.

[0110] Step four: Compare the array thickness calculated in step three with the thickness of the stable production data. It can be seen that the average thickness of group leader 20 is consistent with the thickness of the stable production data. Therefore, group leader 20 is selected as the fixed group leader.

[0111] Figure 6 This is a schematic diagram illustrating the process of obtaining the feedback cycle of cigarette quality characteristics in one embodiment of this application. For example... Figure 6 As shown, the process of obtaining the feedback cycle based on the thickness and the target fixed group length includes:

[0112] S61, the stable production data is divided into multiple arrays according to the target fixed group leader.

[0113] S62, obtain the average value of the position differences of the multiple arrays based on the position difference of the most significant value in each array.

[0114] S63, the feedback period is obtained based on the average of the differences between the multiple array positions and the time interval between adjacent data points.

[0115] In one embodiment, assuming that the stable production data consists of 100 data points, the process of obtaining the stable production data feedback cycle includes the following steps:

[0116] Step 1: Divide the stable production data into five groups: Group 1, Group 2, Group 3, Group 4, and Group 5, based on the calculated target fixed group leader 20.

[0117] Step 2: Calculate the position difference of the maximum value in each group.

[0118] A. Assume the maximum value in the first group is 110, located at the 20th position. The minimum value is 72, located at the 1st position. Therefore, the difference between the positions of the maximum and minimum values ​​is 20 - 1 = 19 points.

[0119] B, the position difference for the second group was calculated to be 17 points, the position difference for the third group was 18 points, the position difference for the fourth group was 20 points, and the position difference for the fifth group was 16 points.

[0120] Step 3: Calculate the average position difference of multiple groups. Average position difference = (19+17+18+20+16) / 5 = 18 points, that is, the average position difference of stable production data is 18 points.

[0121] Step 4: Obtain the average time difference. Since there is a 6-second difference between each location, the average time difference is 18 * 6 = 108 seconds, meaning the feedback cycle is 108 seconds.

[0122] In one embodiment of this application, the control limits (statistical process control anomaly criteria) in the production process are modified based on the feedback cycle of stable production data to obtain a new anomaly criteria for the cigarette machine. Controlling the feedback cycle is to determine the correlation between normal and abnormal situations in the production process, and obtaining the feedback cycle allows for more accurate judgment and evaluation of the production process status. As the production process changes over time, the original control limits are no longer applicable to the process status of the cigarette equipment. The original control limits are readjusted based on the feedback cycle of stable production data, and the machine status is judged using the new anomaly criteria for the cigarette machine, resulting in a more accurate assessment of the machine's status. Currently, the anomaly criteria for statistical process control are used to determine the machine's status in the absence of automatic equipment interference. However, in reality, equipment operation can experience interference and anomalies. The trend of the feedback cycle calculated in this application is caused by automatic equipment feedback. If an anomaly occurs within the feedback cycle, the process is not considered an abnormal situation. If there is a contradiction between the two, the anomaly criteria must be modified.

[0123] Specifically, the modification methods include rounding up or rounding down.

[0124] In some implementations, the original anomaly detection criterion was that an increase or decrease of six points indicated an anomaly in the production process. If the feedback cycle obtained by the feedback cycle acquisition method is seven to eight points, the original six-point criterion is modified to seven or eight points. For example, if the feedback cycle obtained by the feedback cycle acquisition method is 50 and 54.9 seconds, corresponding to 8.33 points and 9.15 points respectively, it should be rounded up to 10 points, or 60 seconds, as the new anomaly detection criterion.

[0125] The feedback cycle acquisition method provided in this application will now be described in detail through a specific example. It should be noted that the content of this example is only used to explain and illustrate the feedback cycle acquisition method provided in this application, and is not intended to limit the scope of protection of this application in any way. In specific applications, corresponding steps can be added or deleted based on this example according to actual needs. The feedback cycle acquisition method in this example includes the following steps.

[0126] Step 1: Obtain stable production data for cigarette quality characteristics. Collect the production data for cigarette quality characteristics and save it as a CSV file in chronological order. Filter the production data for cigarette quality characteristics, removing invalid values, data with parameters set to 0, abnormal operation data, and unstable data from the beginning and end of the production process.

[0127] Step two: Obtain the thickness of the filtered stable production data. Fit the values ​​of the stable production data to obtain the upper limit curve and the lower limit curve. Subtract the upper limit curve from the lower limit curve to obtain the thickness curve of the stable production data. Take the average of the thickness curves to obtain the thickness of the stable production data.

[0128] Step 3: Obtain the rate of change of stable production data and / or the target fixed group length of stable production data. The process of obtaining the rate of change of stable production data includes: obtaining the difference between adjacent data points based on the stable production data; dividing the stable production data into positive and negative rate of change groups based on the sign of the difference; comparing the mean of the positive rate of change group with the mean of the negative rate of change group; if the comparison results are the same, the mean of either the positive or negative rate of change group is taken as the rate of change of stable production data. The process of obtaining the target fixed group length of stable production data includes: dividing the stable production data into multiple arrays according to different length standards and calculating the maximum and minimum values ​​of each array; obtaining the thickness of multiple arrays based on the difference between the maximum and minimum values ​​of multiple arrays; averaging the differences between the maximum and minimum values ​​of multiple arrays to obtain the thickness of the array corresponding to that length standard; comparing the thickness of the stable production data with the thickness of the arrays corresponding to different length standards; and taking the group length of the array with the same thickness as the stable production data as the target fixed group length.

[0129] Step four: Obtain the feedback cycle of cigarette quality characteristics. There are two ways to obtain the feedback cycle: one is based on thickness and rate of change, and the other is based on thickness and a target fixed group leader. The process of obtaining the feedback cycle based on thickness and rate of change includes: dividing the thickness of stable production data by the positive rate of change to obtain the positive feedback cycle, which is the feedback cycle for positive data changes. Dividing the thickness of stable production data by the negative rate of change to obtain the negative feedback cycle, which is the feedback cycle for negative data changes. Comparing the positive and negative feedback cycles, if they are the same, then either the positive or negative feedback cycle is taken as the feedback cycle of the cigarette quality characteristics. The process of obtaining the feedback cycle based on thickness and a target fixed group leader includes: dividing the stable production data into multiple arrays according to the target fixed group leader; obtaining the average of the position differences of the multiple arrays based on the position difference of the maximum value in each array; and obtaining the feedback cycle based on the average of the position differences of the multiple arrays and the time interval between adjacent data points.

[0130] The original anomaly detection criteria for the machinery are modified based on the feedback cycle, and the new criteria are determined by rounding up or down. The production status of the cigarette-making machinery is then accurately assessed based on these new criteria, yielding the desired status results. Adjusting the feedback cycle further ensures the stable operation of the machinery during production, improving production efficiency and product quality.

[0131] In summary, the feedback cycle acquisition method for cigarette manufacturing equipment provided in this application can filter production data to obtain stable production data on cigarette quality characteristics, and obtain corresponding thickness, change rate, and target fixed group length based on the stable production data to obtain the feedback cycle of cigarette quality characteristics. Based on the feedback cycle of cigarette quality characteristics, the original judgment criteria of the cigarette manufacturing machine are modified to accurately judge the production status of the cigarette manufacturing machine and obtain the status judgment result of the cigarette manufacturing machine. The feedback cycle acquisition method of this application can more quickly detect changes in parameter indicators and facilitate timely adjustments to the production process, ensuring the stability of product quality. By regulating the feedback cycle, real-time monitoring of the cigarette production process can be achieved, and the status of the cigarette manufacturing equipment can be accurately judged. By monitoring the changing trends of cigarette quality characteristics, preventive maintenance can be carried out on equipment anomalies during the production process, keeping the cigarette manufacturing machine in a stable state and reducing quality fluctuations.

[0132] The scope of protection of the feedback cycle acquisition method described in this application is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principles of this application is included within the scope of protection of this application.

[0133] This application also provides a feedback cycle acquisition system, which can implement the feedback cycle acquisition method described in this application. However, the implementation device of the feedback cycle acquisition method described in this application includes, but is not limited to, the structure of the feedback cycle acquisition system listed in this embodiment. All structural modifications and substitutions of the prior art made based on the principles of this application are included within the protection scope of this application.

[0134] Figure 7 The diagram shown is a schematic representation of the feedback period acquisition system in one embodiment of this application. Figure 7 As shown, the feedback cycle acquisition system 1 includes: a production data acquisition module 11, a screening and processing module 12, a process processing module 13, and a feedback cycle acquisition module 14. The production data acquisition module 11 is used to acquire production data from cigarette manufacturing equipment. The screening and processing module 12 is used to screen the production data to obtain stable production data. The process processing module 13 is used to obtain the thickness, rate of change, and / or the target fixed group length of the stable production data based on the stable production data. The feedback cycle acquisition module 14 is used to obtain the feedback cycle based on the thickness, the rate of change, and / or the target fixed group length.

[0135] It should be noted that, Figure 7 The feedback cycle shown in the system 1 obtains the relationship between each module and... Figure 1The steps in the feedback cycle acquisition method are all corresponding and will not be elaborated here.

[0136] In the embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, or methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of apparatuses or modules or units may be electrical, mechanical, or other forms.

[0137] The modules / units described as separate components may or may not be physically separate. The components shown as modules / units may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected to achieve the objectives of the embodiments of this application, depending on actual needs. For example, the functional modules / units in the various embodiments of this application may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0138] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0139] This application also provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the feedback cycle acquisition method provided in this application. Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The above storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0140] This application embodiment may also provide an electronic device. Figure 8 The diagram shown is a structural schematic of an electronic device 2 according to an embodiment of this application. Figure 8 As shown, in this embodiment, the electronic device 2 includes a memory 21 and a processor 22.

[0141] The memory 21 is used to store computer programs. In some possible implementations, the memory 21 may include various media capable of storing program code, such as ROM, RAM, magnetic disk, USB flash drive, memory card, or optical disk.

[0142] In this embodiment, memory 21 may include a computer system readable medium in the form of volatile memory, such as RAM and / or cache memory. Electronic device 2 may further include other removable / non-removable, volatile / non-volatile computer system storage media. Memory 21 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0143] The processor 22 is connected to the memory 21 and is used to execute the computer program stored in the memory 21 so that the electronic device 2 performs the feedback cycle acquisition method.

[0144] For example, processor 22 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc. In other embodiments, processor 22 may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0145] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0146] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for obtaining the feedback cycle of a cigarette-making device, characterized in that, The method for obtaining the feedback period includes: To obtain production data on the quality characteristics of cigarettes, wherein the quality characteristics are parameter indicators in the cigarette production process; The production data is filtered to obtain stable production data for the quality characteristics of the cigarettes; Based on the stable production data, obtain the thickness, rate of change, and / or the target fixed group length of the stable production data; The feedback cycle for obtaining the cigarette quality characteristics is based on the thickness, the rate of change, and / or the target fixed group leader.

2. The feedback period acquisition method according to claim 1, characterized in that, The process of filtering the production data to obtain stable production data for the quality characteristics of the cigarettes includes: removing abnormal data from the production data to obtain the stable production data.

3. The feedback cycle acquisition method according to claim 1, characterized in that, The process of obtaining the thickness of the stable production data includes: Obtain the upper limit curve and lower limit curve of the stable production data; The thickness curve is obtained based on the difference between the upper limit curve and the lower limit curve; The thickness of the stable production data is obtained based on the mean of the thickness curve.

4. The feedback cycle acquisition method according to claim 1, characterized in that, The process of obtaining the rate of change of the stable production data includes: The difference between adjacent data points is obtained based on the stable production data, where the time interval between adjacent data points is a time period. The stable production data are divided into positive and negative rate of change groups based on the sign of the difference. The mean of the positive rate of change group is compared with the mean of the negative rate of change group. If the comparison results are the same, the comparison results are taken as the rate of change of the stable production data.

5. The feedback cycle acquisition method according to claim 4, characterized in that, The process of obtaining the feedback cycle of the cigarette quality characteristics based on the thickness and the rate of change includes: The positive feedback period is obtained based on the thickness and the positive rate of change. The negative feedback period is obtained based on the thickness and the negative rate of change. The positive feedback period and the negative feedback period are compared. If the positive feedback period and the negative feedback period are the same, then the positive feedback period or the negative feedback period is taken as the feedback period of the cigarette quality characteristic.

6. The feedback cycle acquisition method according to claim 1, characterized in that, The process of obtaining the target fixed group leader of the stable production data includes: The stable production data is divided into multiple arrays according to different length standards, with the fixed group length set according to different length standards. The thickness of the multiple arrays is obtained based on the difference between the maximum and minimum values ​​of the multiple arrays; The thickness of the stable production data is compared with the thickness of the multiple arrays, and the group leader of the array with the same thickness as the stable production data is taken as the target fixed group leader.

7. The feedback period acquisition method according to claim 6, characterized in that, The process of obtaining the feedback cycle based on the thickness and the target fixed group leader includes: The stable production data is divided into multiple arrays according to the target fixed group leader; The average of the position differences of the multiple arrays is obtained based on the position difference of the most value in each array. The feedback period is obtained based on the average of the differences between the positions of the multiple arrays and the time interval between adjacent data points.

8. A feedback cycle acquisition system, characterized in that, The feedback cycle acquisition system includes: The production data acquisition module is used to acquire production data from cigarette manufacturing equipment. The filtering processing module is used to filter the production data to obtain stable production data; The process processing module is used to obtain the thickness, rate of change and / or target fixed group length of the stable production data based on the stable production data; The feedback cycle acquisition module is used to acquire the feedback cycle based on the thickness, the rate of change, and / or the target fixed group length.

9. An electronic device, characterized in that, The electronic device includes: A memory on which computer programs are stored; A processor, communicatively connected to the memory, is used to execute the computer program to implement the feedback cycle acquisition method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by an electronic device, it implements the feedback cycle acquisition method as described in any one of claims 1 to 7.

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