Cigarette appearance quality inspection data display method, device and equipment, medium and product

Abstract

The invention discloses a cigarette appearance quality inspection data display method, device and equipment, a medium and a product. The method comprises the following steps: in response to a data display request for displaying an appearance quality inspection result of a target sample, obtaining quality inspection associated data corresponding to the target sample within a target historical time range; according to the quality inspection associated data, determining a data analysis result corresponding to the appearance of the target sample under the target quality inspection index, and displaying the data analysis result in a target interface; wherein the target quality inspection index is associated with the sample type of the target sample; the data analysis result comprises analysis results corresponding to a plurality of quality inspection sub-indexes associated with the target quality inspection index. According to the technical scheme provided by the embodiment of the invention, the effects of performing one-key comprehensive analysis on the appearance quality inspection result of the target sample and visually displaying the analysis result are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of data visualization and big data analysis, and particularly relates to a method, device, equipment, medium and product for displaying cigarette appearance quality inspection data. Background Art

[0002] With the rapid development of technologies such as big data and cloud computing, as well as the continuous increase in enterprise cigarette brands and equipment. A large amount of data is generated during the cigarette production and manufacturing process. These data have rich sources, diverse types, and a relatively large data volume, and it is easy to form data islands among various data systems.

[0003] The prior art mainly relies on traditional data analysis tools to summarize and analyze a large amount of data, and visually display the analysis results. However, the existing data analysis tools have certain limitations in data analysis and data display, which in turn lead to low work efficiency, poor real-time performance, and difficulty in comprehensively reflecting the overall product quality for cigarette production personnel. Summary of the Invention

[0004] The present invention provides a method, device, equipment, medium and product for displaying cigarette appearance quality inspection data, so as to achieve the effect of one-key comprehensive analysis of the appearance quality inspection results of target samples and visual display of the analysis results.

[0005] According to one aspect of the present invention, a method for displaying cigarette appearance quality inspection data is provided. The method includes:

[0006] In response to a data display request for displaying the appearance quality inspection results of a target sample, obtain quality inspection associated data corresponding to the target sample within a target historical time range; wherein, the target sample includes at least one of a cigarette sample, a cigarette box sample, and a cigarette strip sample containing a preset number of cigarette boxes;

[0007] According to the quality inspection associated data, determine the data analysis result corresponding to the appearance of the target sample under a target quality inspection index, and display the data analysis result in a target interface;

[0008] Wherein, the target quality inspection index is associated with the sample type of the target sample; the data analysis result includes the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index.

[0009] According to another aspect of the present invention, a device for displaying cigarette appearance quality inspection data is provided. The device includes:

[0010] A data acquisition module, configured to obtain quality inspection associated data corresponding to the target sample within a target historical time range in response to a data display request for displaying the appearance quality inspection result of the target sample; wherein, the target sample includes at least one of a cigarette sample, a cigarette case sample, and a cigarette bar sample containing a preset number of cigarette cases.

[0011] A result display module, configured to determine an analysis result of the appearance of the target sample corresponding to a target quality inspection index according to the quality inspection associated data, and display the analysis result in a target interface; wherein, the target quality inspection index is associated with the sample type of the target sample; the analysis result includes analysis results corresponding to a plurality of quality inspection sub-indices associated with the target quality inspection index.

[0012] According to another aspect of the present invention, there is provided an electronic device, which includes:

[0013] At least one processor; and

[0014] A memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the method for displaying cigarette appearance quality inspection data according to any embodiment of the present invention.

[0016] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method for displaying cigarette appearance quality inspection data according to any embodiment of the present invention when executed.

[0017] According to another aspect of the present invention, there is provided a computer program product including a computer program which implements the method for displaying cigarette appearance quality inspection data according to any embodiment of the present invention when executed by a processor.

[0018] The technical solution of the embodiment of the present invention obtains the quality inspection associated data corresponding to the target sample within the historical time range by responding to a data display request for the appearance quality inspection result of the displayed target sample; further, according to the quality inspection associated data, determines the data analysis result corresponding to the appearance of the target sample under the target quality inspection index, and displays the data analysis result in the target interface; wherein, the data analysis result includes the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index, solves the problem of certain limitations in data analysis and data display in the related art, realizes the multi-dimensional data analysis of the appearance quality inspection result of the target sample under its corresponding target quality inspection index, and visualizes the analysis results of the obtained multiple quality inspection sub-indices, realizes the effect of comprehensively analyzing and visually displaying the appearance quality inspection result of the target sample, and moreover, realizes the effect of one-key analysis and display of the appearance quality inspection result of the target sample. Furthermore, it improves the data processing efficiency, can promptly grasp the fluctuations in the appearance quality of products during the production process, and realizes more efficient appearance quality control.

[0019] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0021] Figure 1 is a flowchart of a method for displaying cigarette appearance quality inspection data provided in Embodiment 1 of the present invention;

[0022] Figure 2 is a flowchart of a method for displaying cigarette appearance quality inspection data provided in Embodiment 2 of the present invention;

[0023] Figure 3 is a schematic diagram of an interface of a target interface corresponding to the cigarette stick appearance index provided in Embodiment 2 of the present invention;

[0024] Figure 4 is a schematic diagram of an interface of a target interface corresponding to the cigarette case appearance index provided in Embodiment 2 of the present invention;

[0025] Figure 5 is a schematic diagram of an interface of a target interface corresponding to the cigarette carton appearance index provided in Embodiment 2 of the present invention;

[0026] Figure 6 It is a schematic diagram of an interface corresponding to the target interface of stubborn appearance defect indicators provided in the second embodiment of the present invention;

[0027] Figure 7 It is a flowchart of a method for displaying cigarette appearance quality inspection data provided in the third embodiment of the present invention;

[0028] Figure 8 It is a flowchart of a method for displaying cigarette appearance quality inspection data provided in the fourth embodiment of the present invention;

[0029] Figure 9 It is a schematic structural diagram of a device for displaying cigarette appearance quality inspection data provided in the fifth embodiment of the present invention;

[0030] Figure 10 It is a schematic structural diagram of an electronic device for implementing the method for displaying cigarette appearance quality inspection data of the embodiments of the present invention. Detailed implementation manners

[0031] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0033] Embodiment 1

[0034] Figure 1The figure is a flowchart of a method for displaying the appearance quality inspection data of cigarettes according to Embodiment 1 of the present invention. This embodiment is applicable to the situation of analyzing the appearance quality inspection results of cigarettes and visually displaying the analysis results. This method can be executed by a display device for the appearance quality inspection data of cigarettes. The display device for the appearance quality inspection data of cigarettes can be implemented in the form of hardware and / or software, and can be configured in a terminal and / or a server. As Figure 1 shown, the method includes:

[0035] S110. In response to a data display request for the appearance quality inspection result of a target sample to be displayed, obtain the quality inspection associated data corresponding to the target sample within a historical time range.

[0036] Among them, the target sample can be a sample that has undergone appearance quality inspection and for which the appearance quality inspection result is to be displayed. The target sample can be a sample that has been produced and the appearance quality inspection operation has been completed. Optionally, the target sample includes at least one of a cigarette sample, a cigarette box sample, and a cigarette strip sample containing a preset number of cigarette boxes. The cigarette box sample can be a boxed sample containing a preset number of cigarettes. The cigarette strip sample can be a strip box sample containing a preset number of cigarette boxes. Generally, during the production of the target sample, in order to ensure the quality of the target sample, quality inspection can be carried out on the target sample. The quality inspection carried out can include appearance quality inspection, taste quality inspection, fragrance quality inspection, etc. Furthermore, the quality inspection result of the target sample can be obtained, and the quality inspection result can include the appearance quality inspection result. The appearance quality inspection result can be the result obtained after inspecting the appearance of the target sample according to the appearance quality inspection indicators. Optionally, when the target sample includes a cigarette sample, the appearance quality inspection result includes the cigarette appearance quality inspection result; when the target sample includes a cigarette box sample, the appearance quality inspection result includes the cigarette box appearance quality inspection result; when the target sample includes a cigarette strip sample, the appearance quality inspection result includes the cigarette strip appearance quality inspection result.

[0037] In this embodiment, in order to enable the user to view the appearance quality inspection results of the target sample more clearly and intuitively, a data display request for displaying the appearance quality inspection results of the target sample can be input. Furthermore, when the data display request is received, an operation of displaying the appearance quality inspection results can be performed. The data display request can be understood as an instruction for requesting the display of the sample quality inspection results. The data display request can include information in two dimensions, namely, time dimension information and data dimension information. The time dimension information is used to determine the production interval of the target sample to be displayed, that is, the appearance quality inspection results of the target sample in which time range can be determined based on the time dimension information. The data dimension information can be used to determine the quality inspection results of the target sample under which quality inspection indicators need to be displayed. The data display request can include multiple generation methods. Optionally, when a trigger operation on a preset data display control is detected, a data display request can be generated; or, when it is detected that the received audio information includes a trigger word associated with data display, a data display request can be generated; or, when it is detected that the received instruction includes a data display instruction, a data display request can be generated.

[0038] Among them, the historical time range can be used to characterize the production interval of the target sample to be displayed. It should be noted that the historical time range can be a time range determined based on the user's time selection operation, or it can also be a time range determined by the system default. Generally, in order to be able to display the latest appearance quality inspection results, the historical time range determined by the system default is usually the time range closest to the current moment. Exemplarily, assuming that the current moment is the second week of February 2025, the historical time range determined by the system default can be the first week of February 2025.

[0039] In this embodiment, the historical time range can be determined based on the data display request. When it is necessary to display the appearance quality inspection results of the target sample, a selection operation can be input for the appearance quality inspection indicators to be displayed, and the target quality inspection indicators corresponding to the target sample can be determined. Further, at least one candidate historical time range can be displayed. When a selection operation for any candidate historical time range is detected, the historical time range of the target sample can be determined. Further, a data display request can be generated according to the target quality inspection indicators and the historical time range, so that when the data display request is received, the quality inspection associated data corresponding to the target sample within the historical range can be obtained based on the data display request.

[0040] Among them, the quality inspection associated data can be data associated with the appearance quality inspection process of the target sample; or, it can also be data required in the appearance quality inspection process of the target sample. The quality inspection associated data can include data in two dimensions, namely production process data in the production dimension and appearance quality inspection results in the quality inspection dimension. The production process data can include data such as the sample production machine, production date, and sample category identifier. The appearance quality inspection results can include data such as the sample defect name, sample defect level, number of defective samples, and sample defect rate.

[0041] S120. Determine the data analysis result corresponding to the appearance of the target sample under the target quality inspection index according to the quality inspection associated data, and display the data analysis result on the target interface; among them, the target quality inspection index is associated with the sample type of the target sample; the data analysis result includes the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index.

[0042] Among them, the target quality inspection index can be a specific standard or requirement for measuring the appearance quality of the target sample. The target quality inspection index can be associated with the sample type of the target sample. That is to say, for target samples of different sample types, different target quality inspection indices can be corresponding. Optionally, when the target sample includes cigarette samples, the target quality inspection index can include cigarette appearance indices; when the target sample includes cigarette box samples, the target quality inspection index can include cigarette box appearance indices; when the target sample includes cigarette carton samples, the target quality inspection index can include cigarette carton appearance indices.

[0043] Generally, after obtaining the quality inspection associated data of the target sample, performing data analysis on the quality inspection associated data, and obtaining the data analysis result corresponding to the appearance of the target sample under the target quality inspection index, the obtained data analysis result may only include the analysis result corresponding to a single quality inspection sub-index, that is, performing data analysis and display on the appearance quality inspection result of the target sample in a single dimension. In this case, there may be situations such as low work efficiency, poor real-time performance, and difficulty in comprehensively reflecting the overall picture of product quality.

[0044] In view of the above situation, in this embodiment, multiple quality inspection sub - indicators can be preset to obtain multiple quality inspection sub - indicators associated with the target quality inspection indicator. Furthermore, the obtained data analysis results can include the analysis results corresponding to at least one of the multiple quality inspection sub - indicators. In other words, the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator can include the analysis result corresponding to one of the multiple quality inspection sub - indicators or the analysis results corresponding to multiple quality inspection sub - indicators. Among them, the quality inspection sub - indicators can be used to characterize the data analysis dimension of the quality inspection - related data of the target sample under the target quality inspection indicator. Different quality inspection sub - indicators can apply different data analysis models and obtain different analysis results. Optionally, the target sample includes cigarette samples, the target quality inspection indicator includes cigarette appearance indicators, and the multiple quality inspection sub - indicators associated with the cigarette appearance indicators include the proportion of cigarette defects, defect cigarette - related information, the number of category - defective cigarettes, the number of inspected defective cigarettes, and the defect rate of finished cigarettes; the target sample includes cigarette box samples, the target quality inspection indicator includes cigarette box appearance indicators, and the multiple quality inspection sub - indicators associated with the cigarette box appearance indicators include the proportion of cigarette box defects, defect cigarette box - related information, the number of category - defective cigarette boxes, the number of inspected defective cigarette boxes, and the defect rate of finished cigarette boxes; the target sample includes cigarette strip samples, the target quality inspection indicator includes cigarette strip appearance indicators, and the multiple quality inspection sub - indicators associated with the cigarette strip appearance indicators include the proportion of cigarette strip defects, defect cigarette strip - related information, the number of category - defective cigarette strips, the number of inspected defective cigarette strips, and the defect rate of finished cigarette strips.

[0045] In this embodiment, after obtaining the quality inspection - related data of the target sample, data analysis can be performed on the quality inspection - related data according to the target quality inspection indicator corresponding to the target sample. Furthermore, the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator can be obtained.

[0046] Optionally, determining the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator according to the quality inspection - related data includes: pre - processing the quality inspection - related data according to a preset pre - processing method to obtain target quality inspection - related data; retrieving a data analysis model associated with the target quality inspection indicator; and processing the target quality inspection - related data according to the data analysis model to obtain the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator.

[0047] Among them, data preprocessing can be used to process data with different data sources and data structures into data with the same data structure. Optionally, the preprocessing methods include data cleaning (cleaning error values, deleting duplicate and invalid data, etc.), data conversion (unit conversion, format adjustment, etc.), data aggregation, and outlier processing (outlier deletion, conversion, grouping, etc.). The data analysis model can be an analysis model used when performing data analysis on quality inspection related data. The data analysis model can include data analysis algorithms corresponding to multiple quality inspection sub-indicators. Different target quality inspection indicators can correspond to different data analysis models. Optionally, the data analysis models include cigarette appearance quality analysis models, cigarette box appearance quality analysis models, cigarette strip appearance quality analysis models, and stubborn type appearance quality analysis models.

[0048] In a specific implementation, after obtaining the quality inspection related data corresponding to the target sample within the historical time range, the quality inspection related data can be preprocessed according to a preset preprocessing method, and the data obtained after preprocessing can be used as the target quality inspection related data. Further, the target quality inspection indicator can be determined according to the sample type of the target sample, and the data analysis model associated with the target quality inspection indicator can be retrieved from a plurality of pre-constructed data analysis models according to the target quality inspection indicator. Further, the target quality inspection related data can be processed according to the data analysis model to obtain the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator.

[0049] In this embodiment, in the case of obtaining the data analysis result, the data analysis result can be displayed. The ways of displaying the data analysis result can include at least two types. Optionally, it can be directly listed and displayed in the interface; or, the analysis result corresponding to it can be displayed according to the display form corresponding to the quality inspection sub-indicator.

[0050] Optionally, in the case of obtaining the data analysis result, the analysis results corresponding to multiple quality inspection sub-indicators can be directly listed and displayed in the target interface in the form of data.

[0051] Optionally, in the case of obtaining the data analysis result, the analysis result corresponding to the quality inspection sub-indicator is presented in the target interface in the display form corresponding to each quality inspection sub-indicator. The advantage of such a setting is that the data analysis result can be displayed more intuitively and orderly, enabling the user to clearly view the analysis results corresponding to each quality inspection sub-indicator at a glance.

[0052] It should be noted that, for the convenience of relevant business personnel to view the data analysis result, in this embodiment, a data sharing link can also be generated based on the data analysis result displayed in the target interface in the case of receiving a data sharing request, so as to view the data analysis result based on the data sharing link.

[0053] Among them, the data sharing link can be understood as a mechanism for realizing data sharing through the network. Specifically, a link pointing to the data analysis result is created, and this link is provided to users who need to access these data. By clicking or accessing this link, users can obtain the required data resources. In this embodiment, generating a data sharing link based on the data analysis result displayed in the target interface can be understood as that when the user clicks or accesses this data sharing link, the display form of the data analysis result displayed in the display interface is consistent with the display form in the target interface.

[0054] In the technical solution of the embodiment of the present invention, by responding to a data display request for displaying the appearance quality inspection result of the target sample, the quality inspection associated data corresponding to the target sample within the historical time range is obtained; further, according to the quality inspection associated data, the data analysis result corresponding to the appearance of the target sample under the target quality inspection index is determined, and the data analysis result is displayed in the target interface; among them, the data analysis result includes the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index, which solves the problem of certain limitations in data analysis and data display in the related art, realizes multi-dimensional data analysis of the appearance quality inspection result of the target sample under its corresponding target quality inspection index, and visualizes the analysis results of the obtained multiple quality inspection sub-indices, realizes the effect of comprehensively analyzing and visually displaying the appearance quality inspection result of the target sample, and moreover, realizes the effect of one-key analysis and display of the appearance quality inspection result of the target sample. Furthermore, the data processing efficiency is improved, the fluctuation of the product appearance quality in the production process can be grasped in time, and more efficient appearance quality control is realized.

[0055] Embodiment 2

[0056] Figure 2 It is a flowchart of a method for displaying cigarette appearance quality inspection data provided by the second embodiment of the present invention. On the basis of the foregoing embodiment, the display method of the data analysis result is further refined. Optionally, displaying the data analysis result in the target interface includes: presenting the analysis result corresponding to the quality inspection sub-index in the target interface in the display form corresponding to each quality inspection sub-index. The specific implementation manner can refer to the technical solution of this embodiment. Technical terms that are the same or similar to the above embodiments will not be described in detail here.

[0057] As Figure 2 shown, the method includes:

[0058] S210. Respond to a data display request for displaying the appearance quality inspection result of the target sample, and obtain the quality inspection associated data corresponding to the target sample within the historical time range.

[0059] S220. Determine the data analysis result corresponding to the appearance of the target sample under the target quality inspection indicator according to the quality inspection related data, and present the analysis result corresponding to the quality inspection sub-indicator in the target interface in the display form corresponding to each quality inspection sub-indicator.

[0060] The display format may be a preset way of visually presenting the analysis results through a specific method or tool. Different quality inspection sub-indicators may correspond to different display formats. Optionally, the display formats include pie charts, bar charts, line charts, tables, etc.

[0061] In this embodiment, different target samples correspond to different target quality inspection indicators, and different target quality inspection indicators correspond to different quality inspection sub-indicators. Furthermore, in the case of different target samples, the content displayed in the target interface is also different, that is, the target interface corresponding to target samples of different sample types may be different, and the target interface may display the analysis results corresponding to multiple quality inspection sub-indicators. In order to more clearly introduce the content displayed in the target interface corresponding to each target sample, the display method of the analysis results of multiple quality inspection sub-indicators in the target interface corresponding to each target sample can be described in turn below.

[0062] Optionally, the target samples include cigarette samples; the target quality inspection indicators include cigarette appearance indicators; multiple quality inspection sub-indicators include cigarette defect rate percentage, defective cigarette related information, the number of defective cigarettes in the category, the number of defective cigarettes inspected and the defect rate of finished cigarettes; the analysis results corresponding to the quality inspection sub-indicators are presented in the target interface in the display form corresponding to each quality inspection sub-indicator, including: generating a cigarette defect rate percentage graph based on the results corresponding to the cigarette defect rate percentage, and presenting the cigarette defect rate percentage graph in the target interface in the form of a pie chart.

[0063] Among them, the cigarette defect rate percentage graph includes defect rate percentage information corresponding to at least one cigarette appearance defect. The cigarette defect rate percentage can be understood as at least one cigarette appearance defect existing in the cigarette samples within the target historical time range and the defect rate percentage information corresponding to each cigarette appearance defect. The defect rate percentage information is used to characterize the ratio between the number of cigarette samples with cigarette appearance defects and the total number of cigarette samples. Optionally, the cigarette appearance defects include broken cigarettes, inclusions in cigarette overlaps, wrinkled cigarette paper, cigarette dust stuck in the filter, wrinkles in cigarette overlaps, wrinkles in kraft paper, and threading.

[0064] In this embodiment, when the data analysis results include analysis results corresponding to the cigarette defect rate ratio information, a cigarette defect rate ratio chart can be generated based on the analysis results corresponding to the cigarette defect rate ratio information, and the cigarette defect rate ratio chart can be in the form of a pie chart. Further, the cigarette defect rate ratio chart can be displayed in the target interface.

[0065] Further, a defective cigarette table is generated based on the defective cigarette associated data in the analysis result corresponding to the defective cigarette details and is displayed on the target interface. When at least one defective cigarette image is included in the analysis result, at least one defective cigarette image is displayed on the target interface.

[0066] Among them, the defective cigarette details are used to characterize the detailed information of the defective cigarette in multiple aspects. The defective cigarette details may include defective cigarette associated data and / or defective cigarette schematic diagrams. The analysis result corresponding to the defective cigarette details may include the defective cigarette associated data of the cigarette sample and / or at least one defective cigarette image. The cigarette included in the defective cigarette image is the cigarette in the cigarette sample. The defective cigarette table may be a one-dimensional table generated after integrating the defective associated data. The fields in the defective cigarette table may include cigarette appearance defect identification, cigarette production machine station identification, number of defective cigarettes, and defect rate. The cigarette appearance defect identification may be information capable of characterizing the cigarette appearance defect. Optionally, it includes cigarette appearance name and / or cigarette appearance defect number, etc. The cigarette production machine station identification may be information capable of characterizing the cigarette production machine station. Optionally, it includes cigarette production machine station name and / or cigarette production machine station number (for example, E09, E02, G09, and F01, etc.).

[0067] In this embodiment, when the data analysis result includes the analysis result corresponding to the defective cigarette details, a defective cigarette table may be generated based on the defective cigarette associated data in the analysis result and the defective cigarette table is displayed on the target interface. Further, when at least one defective cigarette image is included in the analysis result corresponding to the defective cigarette details, the defective cigarette table and at least one defective cigarette image are displayed on the target interface.

[0068] Further, a defective cigarette chart of the cigarette category is generated based on the analysis result corresponding to the number of defective cigarettes in the cigarette category and the defective cigarette chart of the cigarette category is presented in the form of a bar chart on the target interface.

[0069] Among them, the defective cigarette chart of the cigarette category is used to characterize the number of defective cigarettes of at least one cigarette category; the defective cigarette chart of the cigarette category includes the defective cigarette quantity display information corresponding to at least one cigarette category. The number of defective cigarettes in the cigarette category may be the number of defective cigarettes determined in the dimension of the cigarette category. The analysis result corresponding to the number of defective cigarettes in the cigarette category may include the number of defective cigarettes of at least one cigarette category corresponding to the cigarette sample. In this embodiment, in order to more clearly and intuitively see the number of defective cigarettes in each cigarette category, the defective cigarette chart of the cigarette category may be displayed on the target interface in the form of a bar chart. The defective cigarette chart of the cigarette category may include at least one bar display information, and the bar display information is used to characterize the number of defective cigarettes corresponding to the cigarette category.

[0070] In this embodiment, when the data analysis result includes the analysis result corresponding to the number of defective cigarettes of a category, a defective cigarette diagram of the category can be generated based on the analysis result, and the defective cigarette diagram of the category can be in the form of a bar chart. Further, the defective cigarette diagram of the category can be displayed on the target interface.

[0071] In addition, a defective cigarette quantity curve is generated based on the analysis result corresponding to the trend of the number of defective cigarettes, and the defective cigarette quantity curve is presented in the form of a line chart on the target interface.

[0072] Among them, the defective cigarette quantity trend can be used to characterize the change trend of the defective cigarette quantity within a certain period of time. In this embodiment, in order to show the change trend between the defective cigarette quantity corresponding to the target historical time range and the defective cigarette quantity corresponding to other historical time ranges, the analysis result corresponding to the defective cigarette quantity trend may include the defective cigarette quantity corresponding to the target historical time range and at least one historical time range associated with the target historical time range. The defective cigarette quantity includes the in-process defective cigarette quantity and / or the finished product defective cigarette quantity. The in-process defective cigarette quantity can be understood as the defective cigarette quantity determined after appearance quality inspection during the cigarette making and packing process. The finished product defective cigarette quantity can be understood as the defective cigarette quantity determined after cigarette appearance quality inspection after production is completed. Optionally, when the target historical time range is the time range closest to the current moment, at least one historical time range associated with the target historical time range may be at least one historical time range before the target historical time range. Exemplarily, assuming the current moment is the 2nd week of 2025 and the target historical time range is the 1st week of 2025. Further, at least one historical time range associated with the target historical time range may include the 52nd week, 51st week, 50th week, 49th week, 48th week, 47th week, 46th week, 45th week, and 44th week of 2024. Optionally, when the target historical time range is selected by the user and is not the time range closest to the current moment, at least one historical time range associated with the target historical time range may include a first number of historical time ranges before the target historical time range and a second number of historical time ranges after the target historical time range. Exemplarily, assuming the current moment is the 5th week of 2025 and the target historical time range is the 48th week of 2024, the first number is 5 and the second number is 5. Further, the first number of historical time ranges before the target historical time range are respectively the 47th week, 46th week, 45th week, 44th week, and 43rd week of 2024; the second number of historical time ranges after the target historical time range are respectively the 49th week, 50th week, 51st week, 52nd week of 2024, and the 1st week of 2025. The defective cigarette quantity change curve can be displayed in the target interface in the form of a line chart.

[0073] In this embodiment, when the data analysis result includes the analysis result corresponding to the defective cigarette quantity trend, the defective cigarette quantity change curve can be generated based on the analysis result corresponding to the defective cigarette quantity trend. Further, the defective cigarette quantity change curve can be presented in the target interface in the form of a line chart display.

[0074] Moreover, a finished cigarette defect rate curve is generated based on the analysis result corresponding to the trend of the finished cigarette defect rate, and the finished cigarette defect rate curve is displayed in the target interface.

[0075] Among them, the trend of the finished cigarette defect rate can be used to characterize the change trend of the finished cigarette defect rate within a certain period of time. In this embodiment, in order to show the change trend between the finished cigarette defect rate corresponding to the target historical time range and the finished cigarette defect rate corresponding to other historical time ranges, the analysis result corresponding to the trend of the finished cigarette defect rate includes the target historical time range and the finished cigarette defect rates corresponding to at least one historical time range associated with the target historical time range. The finished cigarette defect rate curve can be displayed in the target interface in the form of a line chart.

[0076] In this embodiment, when the data analysis result includes the analysis result corresponding to the trend of the finished cigarette defect rate, a finished cigarette defect rate curve can be generated based on the analysis result corresponding to the trend of the finished cigarette defect rate. Further, the finished cigarette defect rate curve can be presented in the target interface in the form of a line chart display.

[0077] Exemplarily, Figure 3 is a schematic diagram of an interface of the target interface corresponding to the cigarette appearance index provided by an embodiment of the present invention. As Figure 3 shown, the target interface may include area 31, area 32, area 33, area 34, area 35, area 36, area 37, and area 38. Area 31 can be used to display the defect levels of the cigarette appearance defects existing in the target sample, including Class C and Class D. Area 32 can be used to display a cigarette defect rate proportion chart, and the proportion chart is displayed in the target interface in the form of a pie chart. Area 33 can be used to display a defective cigarette table. Area 34 can be used to display at least one defective cigarette image. Area 35 can be used to display a defective cigarette quantity change curve. As Figure 3 can be seen, the yellow curve is the process defective cigarette quantity change curve, and the green curve is the finished product defective cigarette quantity change curve. Area 36 can be used to display the finished cigarette defect rate curve. Area 37 can be used to display a category cigarette defect chart, and the category cigarette defect chart is displayed in the target interface in the form of a bar chart. As Figure 3 can be seen, there are 8 cigarette categories included. The number of defective cigarettes in Category A is 40, the number of defective cigarettes in Category B is 16, the number of defective cigarettes in Category C is 12, the number of defective cigarettes in Category D is 8, the number of defective cigarettes in Category E is 6, the number of defective cigarettes in Category F is 5, the number of defective cigarettes in Category G is 4, and the number of defective cigarettes in Category H is 2. Area 38 is the display area of the screening control.

[0078] Optionally, the target sample includes a cigarette case sample; the target quality inspection index includes the cigarette case appearance index; the multiple quality inspection sub-indices include the proportion of defective cigarette cases, details of defective cigarette cases, the number of category-defective cigarette cases, the trend of the number of defective cigarette cases, and the trend of the defective rate of finished cigarette cases.

[0079] Present the analysis results corresponding to the quality inspection sub-indices in the target interface in the display form corresponding to each quality inspection sub-index, including: generating a pie chart of the proportion of defective cigarette cases based on the analysis results corresponding to the proportion of defective cigarette cases, and presenting the pie chart of the proportion of defective cigarette cases in the target interface in the display form of a pie chart.

[0080] Among them, the pie chart of the proportion of defective cigarette cases includes at least one proportion of defective rate information corresponding to the cigarette case appearance defect. The proportion of defective cigarette cases can be understood as at least one cigarette case appearance defect existing in the cigarette case samples within the target historical time range and the proportion of defective rate information corresponding to each cigarette case appearance defect, and this proportion of defective rate information is used to characterize the ratio between the quantity of cigarette case samples with cigarette case appearance defects and the total quantity of cigarette case samples. Optionally, the cigarette case appearance defects include the length and short shell of the label paper, the corner fold of the cigarette case transparent paper, the wrinkling of the label paper, the scratch of the cigarette case transparent paper, the abrasion of the label paper, the indentation of the label paper, the stain of the label paper, the offset of the printing, the stain of the frame paper, the stain of the printing, etc.

[0081] In this embodiment, when the data analysis results include the analysis results corresponding to the proportion of defective cigarette case information, a pie chart of the proportion of defective cigarette cases can be generated based on the analysis results corresponding to the proportion of defective cigarette case information. Further, the generated pie chart of the proportion of defective cigarette cases can be presented in the target interface in the display form of a pie chart.

[0082] And, generate a defective cigarette case table based on the defective cigarette case association data in the analysis results corresponding to the details of defective cigarette cases, and display at least one defective cigarette case image in the analysis results and the defective cigarette case table in the target interface.

[0083] Among them, the details of defective cigarette cases are used to characterize the detailed information of defective cigarette cases in multiple aspects. The details of defective cigarette cases can include defective cigarette case association data and / or defective cigarette case schematic diagrams. The analysis results corresponding to the details of defective cigarette cases include the defective cigarette case association data of cigarette case samples and / or at least one defective cigarette case image. The cigarette cases included in the defective cigarette case image are the cigarette cases in the cigarette case samples. The fields in the defective cigarette case table include cigarette case appearance defect identifiers, cigarette case production machine station identifiers, the number of defective cigarette cases, and the defective rate. The cigarette case appearance defect identifier can be information that can characterize the cigarette case appearance defect. Optionally, it includes the cigarette case appearance name and / or the cigarette case appearance defect number, etc. The cigarette case production machine station identifier can be information that can characterize the cigarette case production machine station. Optionally, it includes the cigarette case production machine station name and / or the cigarette case production machine station number.

[0084] In this embodiment, when the data analysis result includes the analysis result corresponding to the details of defective cigarette cases, a defective cigarette case table can be generated based on the associated data of defective cigarette cases in the analysis result. Further, when at least one defective cigarette case image is included in the analysis result corresponding to the details of defective cigarette cases, the defective cigarette case table and at least one defective cigarette case image in the analysis result can be displayed on the target interface.

[0085] Moreover, a defective cigarette case chart for cigarette categories is generated based on the analysis result corresponding to the number of defective cigarette cases for each category, and the defective cigarette case chart for cigarette categories is presented in the form of a bar chart on the target interface.

[0086] Among them, the defective cigarette case chart for cigarette categories is used to represent the number of defective cigarette cases of at least one cigarette category; the defective cigarette case chart for cigarette categories includes the display information of the number of defective cigarette cases corresponding to at least one cigarette category. The number of defective cigarette cases for each category can be the number of defective cigarette cases determined in terms of the cigarette category dimension. The analysis result corresponding to the number of defective cigarette cases for each category can include the number of defective cigarette cases of at least one cigarette category corresponding to the cigarette case samples. In this embodiment, in order to more clearly and intuitively see the number of defective cigarette cases for each cigarette category, the defective cigarette case chart for cigarette categories can be presented in the form of a bar chart on the target interface. The defective cigarette case chart for cigarette categories can contain at least one bar display information, and this bar display information is used to represent the number of defective cigarette cases corresponding to the cigarette category.

[0087] In this embodiment, when the data analysis result includes the analysis result corresponding to the number of defective cigarette cases for each category, a defective cigarette case chart for cigarette categories can be generated based on this analysis result. Further, the generated defective cigarette case chart for cigarette categories can be presented in the form of a bar chart on the target interface.

[0088] Moreover, a defective cigarette case quantity curve is generated based on the analysis result corresponding to the trend of the number of defective cigarette cases, and the defective cigarette case quantity curve is presented in the form of a line chart on the target interface.

[0089] Among them, the defective cigarette case quantity trend can be used to characterize the change trend of the quantity of defective cigarette cases within a certain period of time. In this embodiment, in order to show the change trend between the quantity of defective cigarette cases corresponding to the target historical time range and the quantity of defective cigarette cases corresponding to other historical time ranges, the analysis result corresponding to the defective cigarette case quantity trend may include the defective cigarette case quantities corresponding to the target historical time range and at least one historical time range associated with the target historical time range. The defective cigarette case quantity includes the quantity of process defective cigarette cases and / or the quantity of finished product defective cigarette cases. The quantity of process defective cigarette cases can be understood as the quantity of defective cigarette cases determined after the appearance quality inspection of cigarette cases during the rolling and packaging process. The quantity of finished product defective cigarette cases can be understood as the quantity of defective cigarette cases determined after the appearance quality inspection of cigarette cases after production is completed. Optionally, when the target historical time range is the time range closest to the current moment, at least one historical time range associated with the target historical time range may be at least one historical time range before the target historical time range. When the target historical time range is selected by the user and is not the time range closest to the current moment, at least one historical time range associated with the target historical time range may include a first quantity of historical time ranges before the target historical time range and a second quantity of historical time ranges after the target historical time range.

[0090] In this embodiment, when the data analysis result includes the analysis result corresponding to the defective cigarette case quantity trend, a defective cigarette case quantity change curve can be generated based on the analysis result corresponding to the defective cigarette case quantity trend. Further, the defective cigarette case quantity change curve can be presented in the target interface in the form of a line chart.

[0091] Moreover, a finished product cigarette case defect rate curve is generated based on the analysis result corresponding to the finished product cigarette case defect rate trend, and the finished product cigarette case defect rate curve is presented in the target interface in the form of a line chart.

[0092] Among them, the finished product cigarette case defect rate trend can be used to characterize the change trend of the finished product cigarette case defect rate within a certain period of time. In this embodiment, in order to show the change trend between the finished product cigarette case defect rate corresponding to the target historical time range and the finished product cigarette case defect rate corresponding to other historical time ranges, the analysis result corresponding to the finished product cigarette case defect rate trend includes the target historical time range and the finished product cigarette case defect rates corresponding to at least one historical time range associated with the target historical time range. The finished product cigarette case defect rate curve can be presented in the target interface in the form of a line chart.

[0093] In this embodiment, in the case where the data analysis result includes the analysis result corresponding to the trend of the defect rate of the finished cigarette case, a defect rate curve of the finished cigarette case can be generated based on the analysis result corresponding to the trend of the defect rate of the finished cigarette case. Further, the defect rate curve of the finished cigarette case can be presented in the target interface in the form of a line chart.

[0094] Exemplarily, Figure 4 is a schematic diagram of an interface of a target interface corresponding to the appearance index of a cigarette case provided by an embodiment of the present invention. As Figure 4 shown, the target interface may include area 41, area 42, area 43, area 44, area 45, area 46, area 47, and area 48. Area 41 can be used to display the defect levels of the cigarette case appearance defects existing in the target sample, including Class C and Class D. Area 42 can be used to display a pie chart of the cigarette case defect rate ratio, and the ratio chart is presented in the target interface in the form of a pie chart. Area 43 can be used to display a table of defective cigarette cases. Area 44 can be used to display at least one image of a defective cigarette case. Area 45 can be used to display a curve of the change in the number of defective cigarette cases. As Figure 4 can be seen, the yellow curve is the curve of the change in the number of process defective cigarette cases, and the green curve is the curve of the change in the number of finished product defective cigarette cases. Area 46 can be used to display the defect rate curve of the finished cigarette case. Area 47 can be used to display a bar chart of the defective cigarette cases of different categories, and the bar chart of the defective cigarette cases of different categories is presented in the target interface in the form of a bar chart. As Figure 4 can be seen, there are 5 cigarette categories included. The number of defective cigarette cases of Category A is 35, the number of defective cigarette cases of Category B is 15, the number of defective cigarette cases of Category C is 8, the number of defective cigarette cases of Category D is 6, and the number of defective cigarette cases of Category E is 2. Area 48 can be used to display a screening control.

[0095] Optionally, the target sample includes a cigarette rod sample; the target quality inspection index includes the appearance index of the cigarette rod; the multiple quality inspection sub-indices include the ratio of the defective rate of the cigarette rod, the details of the defective cigarette rod, the number of defective cigarette rods of different categories, the trend of the number of defective cigarette rods, and the trend of the defective rate of the finished cigarette rod.

[0096] In the target interface, the analysis results corresponding to the quality inspection sub-indices are presented in the display form corresponding to each quality inspection sub-index, including: generating a pie chart of the defective rate ratio of the cigarette rod based on the analysis result corresponding to the ratio of the defective rate of the cigarette rod, and presenting the pie chart of the defective rate ratio of the cigarette rod in the target interface in the form of a pie chart.

[0097] Among them, the cigarette bar defect rate proportion graph includes defect rate proportion information corresponding to at least one cigarette bar appearance defect. The cigarette bar defect rate proportion can be understood as at least one cigarette bar appearance defect existing in cigarette bar samples within a target historical time range and the defect rate proportion information corresponding to each cigarette bar appearance defect. This defect rate proportion information is used to characterize the ratio between the quantity of cigarette bar samples with cigarette bar appearance defects and the total quantity of cigarette bar samples. Optionally, the cigarette bar appearance defects include misalignment of the strip box drawstring lap and the corner fold of the strip box transparent paper.

[0098] In this embodiment, when the data analysis result includes an analysis result corresponding to the cigarette case defect rate proportion information, a cigarette case defect rate proportion graph can be generated based on the analysis result corresponding to the cigarette case defect rate proportion information. Further, the generated cigarette case defect rate proportion graph can be presented in the form of a pie chart on the target interface.

[0099] Moreover, a defective cigarette bar table is generated based on the defective cigarette bar associated data in the analysis result corresponding to the defective cigarette bar details, and at least one defective cigarette bar image in the analysis result and the defective cigarette bar table are displayed on the target interface.

[0100] Among them, the defective cigarette bar details are used to characterize the detailed information of the defective cigarette bar in multiple aspects. The defective cigarette bar details can include defective cigarette bar associated data and / or defective cigarette bar schematic diagrams. The analysis result corresponding to the defective cigarette bar details includes defective cigarette bar associated data of cigarette case samples and / or at least one defective cigarette bar image. The cigarette bars included in the defective cigarette bar image are the cigarette bars in the cigarette bar samples. The fields in the defective cigarette bar table include cigarette bar appearance defect identifiers, cigarette bar production machine station identifiers, the quantity of defective cigarette bars, and the defect rate. The cigarette bar appearance defect identifier can be information that can characterize the cigarette bar appearance defect. Optionally, it includes the cigarette bar appearance name and / or the cigarette bar appearance defect number, etc. The cigarette bar production machine station identifier can be information that can characterize the cigarette bar production machine station. Optionally, it includes the cigarette bar production machine station name and / or the cigarette bar production machine station number.

[0101] In this embodiment, when the data analysis result includes an analysis result corresponding to the defective cigarette bar details, a defective cigarette bar table can be generated based on the defective cigarette bar associated data in the analysis result. Further, when at least one defective cigarette bar image is included in the analysis result corresponding to the defective cigarette bar details, the defective cigarette bar table and at least one defective cigarette bar image in the analysis result can be displayed on the target interface.

[0102] Moreover, a category cigarette bar defect graph is generated based on the analysis result corresponding to the quantity of category defective cigarette bars, and the category cigarette bar defect graph is presented in the form of a bar chart on the target interface.

[0103] Among them, the category cigarette bar defect diagram is used to represent the number of defective cigarette bars of at least one cigarette category; the category cigarette bar defect diagram includes the display information of the number of defective cigarette bars corresponding to at least one cigarette category. The number of defective cigarette bars in a category can be the number of defective cigarette bars determined in the dimension of the cigarette category. The analysis result corresponding to the number of defective cigarette bars in a category can include the number of defective cigarette bars of at least one cigarette category corresponding to the cigarette bar sample. In this embodiment, in order to more clearly and intuitively see the number of defective cigarette bars in each cigarette category, the category cigarette bar defect diagram can be displayed in the target interface in the form of a bar chart. The category cigarette bar defect diagram can include at least one bar display information, and the bar display information is used to represent the number of defective cigarette bars corresponding to the cigarette category.

[0104] In this embodiment, when the data analysis result includes the analysis result corresponding to the number of defective cigarette bars in a category, the category cigarette bar defect diagram can be generated based on this analysis result. Further, the generated category cigarette bar defect diagram can be presented in the target interface in the form of a bar chart.

[0105] And, a defective cigarette bar quantity curve is generated based on the analysis result corresponding to the defective cigarette bar quantity trend, and the defective cigarette bar quantity curve is presented in the target interface in the form of a line chart.

[0106] Among them, the defective cigarette bar quantity trend can be used to represent the change trend of the number of defective cigarette bars within a certain period of time. In this embodiment, in order to show the change trend between the number of defective cigarette bars corresponding to the target historical time range and the number of defective cigarette bars corresponding to other historical time ranges, the analysis result corresponding to the defective cigarette bar quantity trend can include the target historical time range and the number of defective cigarette bars corresponding to at least one historical time range associated with the target historical time range. The number of defective cigarette bars includes the number of process defective cigarette bars and / or the number of finished product defective cigarette bars. The number of process defective cigarette bars can be understood as the number of defective cigarette bars determined after inspecting the appearance of cigarette bars during the cigarette packing process. The number of finished product defective cigarette bars can be understood as the number of defective cigarette bars determined after inspecting the appearance of cigarette bars after production is completed. Optionally, when the target historical time range is the time range closest to the current moment, at least one historical time range associated with the target historical time range can be at least one historical time range before the target historical time range. When the target historical time range is selected by the user and is not the time range closest to the current moment, at least one historical time range associated with the target historical time range can include the first number of historical time ranges before the target historical time range and the second number of historical time ranges after the target historical time range.

[0107] In this embodiment, when the data analysis result includes an analysis result corresponding to the trend of the number of defective cigarette sticks, a change curve of the number of defective cigarette sticks can be generated based on the analysis result corresponding to the trend of the number of defective cigarette sticks. Further, the change curve of the number of defective cigarette sticks can be presented in the target interface in the form of a line chart.

[0108] In addition, a defective rate curve of the finished cigarette sticks is generated based on the analysis result corresponding to the trend of the defective rate of the finished cigarette sticks, and the defective rate curve of the finished cigarette sticks is presented in the target interface in the form of a line chart.

[0109] Among them, the trend of the defective rate of the finished cigarette sticks can be used to characterize the change trend of the defective rate of the finished cigarette sticks within a certain period of time. In this embodiment, in order to show the change trend between the defective rate of the finished cigarette sticks corresponding to the target historical time range and the defective rate of the finished cigarette sticks corresponding to other historical time ranges, the analysis result corresponding to the trend of the defective rate of the finished cigarette sticks includes the target historical time range and the defective rate of the finished cigarette sticks corresponding to at least one historical time range associated with the target historical time range. The defective rate curve of the finished cigarette sticks can be presented in the target interface in the form of a line chart.

[0110] In this embodiment, when the data analysis result includes an analysis result corresponding to the trend of the defective rate of the finished cigarette sticks, a defective rate curve of the finished cigarette sticks can be generated based on the analysis result corresponding to the trend of the defective rate of the finished cigarette sticks. Further, the defective rate curve of the finished cigarette sticks can be presented in the target interface in the form of a line chart.

[0111] Exemplarily, Figure 5 is a schematic diagram of an interface of a target interface corresponding to the appearance index of the cigarette stick provided by an embodiment of the present invention. As Figure 5 shown, the target interface may include area 51, area 52, area 53, area 54, area 55, area 56, area 57, and area 58. Area 51 can be used to display the defect levels of the cigarette stick appearance defects existing in the target sample, including Class C and Class D. Area 52 can be used to display a pie chart of the proportion of the cigarette stick defect rate, and the pie chart is presented in the target interface in the form of a pie chart. Area 53 can be used to display a table of defective cigarette sticks. Area 54 can be used to display at least one image of a defective cigarette stick. Area 55 can be used to display a change curve of the number of defective cigarette sticks. As Figure 5 can be seen, the yellow curve is the change curve of the number of process defective cigarette sticks, and the green curve is the change curve of the number of finished defective cigarette sticks. Area 56 can be used to display the defective rate curve of the finished cigarette sticks. Area 57 can be used to display a defect chart of cigarette sticks of different categories, and the defect chart of cigarette sticks of different categories is presented in the target interface in the form of a bar chart. As Figure 5It can be seen that there are 2 cigarette categories. The number of defective cartons of category A is 3, and the number of defective cartons of category B is 1. Area 58 can be used to display the filtering control.

[0112] It should be noted that in this embodiment, when the target sample includes at least one of cigarette samples, cigarette box samples, and cigarette strip samples, the target quality inspection index can also include a stubborn type of defect index. The stubborn type of defect index can be a preset stubborn type of defect. The data analysis result corresponding to the stubborn type of defect index can be the relevant information of the target sample regarding the stubborn type of defect type.

[0113] Optionally, the target sample includes at least one of cigarette samples, cigarette box samples, and cigarette strip samples that accommodate a preset number of cigarette boxes. The target quality inspection index also includes a stubborn type of appearance defect index. The multiple quality inspection sub-indices include the stubborn type of defect rate, the number of stubborn type of defective samples, and the trend of the number of stubborn type of defective samples.

[0114] Present the analysis result corresponding to the quality inspection sub-index in the target interface in the display form corresponding to each quality inspection sub-index, including: generating a stubborn type of defect rate table based on the analysis result corresponding to the stubborn type of defect rate, and displaying the stubborn type of defect rate table in the target interface.

[0115] Among them, the stubborn type of defect rate can be understood as the ratio between the number of samples with stubborn type of appearance defects and the total number of samples. The analysis result corresponding to the stubborn type of defect rate can include the historical stubborn type of defect rate, the stubborn type of defect rate, and the defect rate reduction information. The stubborn type of appearance defect can be a sample appearance defect determined according to a preset rule. This sample appearance defect can be a defect that is not easy to solve and often exists during the production process. The stubborn type of appearance defect can include the stubborn type of cigarette appearance defect, the stubborn type of cigarette box appearance defect, and the stubborn type of cigarette strip appearance defect. Optionally, the stubborn type of cigarette appearance defect includes broken cigarettes, cigarette butt inclusion in the cigarette joint, air leakage, cigarette surface contamination, filter tip with cigarette dust, empty ends, etc. The stubborn type of cigarette box appearance defect includes wrinkled transparent paper of the cigarette box, wrinkled trademark paper, incomplete folding of the trademark paper, foreign matter inclusion outside the small box, trademark paper contamination, folded corner of the small box transparent paper, etc. The stubborn type of cigarette strip appearance defect includes wrinkled carton paper and wrinkled transparent paper of the carton.

[0116] In this embodiment, when the analysis result corresponding to the stubborn type of appearance defect index includes the analysis result corresponding to the stubborn type of defect rate, a stubborn type of defect rate table can be generated based on the analysis result. Further, the stubborn type of defect rate table can be displayed in the target interface.

[0117] And, generating a stubborn type of defect quantity table based on the analysis result corresponding to the number of stubborn type of defective samples, and displaying the stubborn type of defect quantity table in the target interface.

[0118] Among them, the number of stubborn defect samples can be understood as the number of samples with stubborn appearance defects. The analysis result corresponding to the number of stubborn defect samples can be the number of samples with stubborn appearance defects in the target samples. The analysis result corresponding to the number of stubborn defect samples can include the number of samples with at least one stubborn appearance defect in the target samples.

[0119] In this embodiment, when the data analysis result corresponding to the stubborn appearance defect index includes the analysis result corresponding to the number of stubborn defect samples, a stubborn defect number table can be generated based on the analysis result. Further, the stubborn defect number table can be displayed in the target interface.

[0120] In addition, a stubborn defect number curve is generated based on the analysis result corresponding to the trend of the number of stubborn defect samples, and the stubborn defect number curve is presented in the form of a line chart in the target interface.

[0121] Among them, the trend of the number of stubborn samples can be used to characterize the change trend of the number of stubborn defect samples within a certain time range. The analysis result corresponding to the trend of the number of stubborn defect samples includes the target historical time range and the number of defect samples corresponding to at least one historical time range associated with the target historical time range. The number of defect samples includes the number of process defect samples and / or the number of finished product defect samples.

[0122] In this embodiment, when the data analysis result corresponding to the stubborn appearance defect index includes the analysis result corresponding to the trend of the number of stubborn defect samples, a stubborn defect number curve can be generated based on the analysis result corresponding to the trend of the number of stubborn defect samples. Further, the stubborn defect number curve can be presented in the form of a line chart in the target interface.

[0123] Exemplarily, Figure 6 is a schematic diagram of an interface of the target interface corresponding to the stubborn appearance defect index provided by an embodiment of the present invention. As Figure 6 shown, the target interface may include area 61, area 62, area 63, and area 64. Area 61 can be used to display the stubborn defect rate table. Area 62 can be used to display the stubborn defect number table. Area 63 can be used to display the stubborn defect number curve. As Figure 6 can be seen, the yellow curve is the change curve of the number of process defect samples, and the green curve is the change curve of the number of finished product defect samples. Area 64 can be used to display the screening control.

[0124] In the technical solution of the embodiment of the present invention, by presenting the analysis results corresponding to each quality inspection sub-index in the target interface in the display form corresponding to each quality inspection sub-index, the effect of flexibly displaying the analysis results corresponding to each quality inspection sub-index is achieved. Furthermore, the user can clearly and intuitively view the analysis results corresponding to each quality inspection sub-index, so that the user can see at a glance the appearance quality status of the product and the production process control situation. Thus, the accurate positioning and efficient closed-loop management of appearance quality problems are realized.

[0125] Embodiment III

[0126] Figure 7 FIG. is a flowchart of a method for displaying cigarette appearance quality inspection data provided in Embodiment III of the present invention. On the basis of the foregoing embodiments, when the data analysis results are displayed in the target interface, when a trigger operation for any result data in the analysis results corresponding to the quality inspection sub-index is received, the triggered result data is highlighted in the analysis results, and the analysis results corresponding to other quality inspection sub-indices are updated based on the triggered result data, and the updated analysis results are displayed in the target interface. The specific implementation manner can refer to the technical solution of this embodiment. Among them, the same or similar technical terms as those in the above embodiments will not be described in detail here.

[0127] As Figure 7 shown, the method includes:

[0128] S310. In response to a data display request for displaying the appearance quality inspection results of the target sample, obtain the quality inspection associated data corresponding to the target sample within the historical time range.

[0129] S320. According to the quality inspection associated data, determine the data analysis results corresponding to the appearance of the target sample under the target quality inspection index, and display the data analysis results in the target interface; wherein, the target quality inspection index is associated with the sample type of the target sample; the data analysis results include the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index.

[0130] S330. When a trigger operation for any result data in the analysis results corresponding to the quality inspection sub-index is received, highlight the triggered result data in the analysis results, update the analysis results corresponding to other quality inspection sub-indices based on the triggered result data, and display the updated analysis results in the target interface.

[0131] In this embodiment, the analysis results corresponding to each quality inspection sub - index may include at least one result data. The triggering operation may be an operation to update the triggered result data to a selected state, that is, the triggering operation may be a data selection operation for the result data. The triggering operation includes but is not limited to at least one of a click operation (including single - click or multi - click), a long - press operation, a touch operation, and a slide operation. Other quality inspection sub - indices may be quality inspection sub - indices associated with the triggered result data among multiple quality inspection sub - indices.

[0132] It should be noted that there is a certain correlation between the analysis results of each quality inspection sub - index displayed in the target interface. When a triggering operation for the analysis result of any quality inspection sub - index is received, the analysis results of other quality inspection sub - indices associated with it can be updated according to the triggered analysis result, and the updated analysis results are displayed in the target interface. Furthermore, the effect of linked display between the analysis results of each quality inspection sub - index can be achieved.

[0133] To be able to introduce the above operation process more clearly, the above operation process can be described by taking the target sample as a cigarette sample and the target quality inspection index as the cigarette appearance index as an example.

[0134] Optionally, the target sample includes cigarette samples, the target quality inspection index includes cigarette appearance indexes, and the target interface displays a cigarette defect rate percentage chart, a defective cigarette table, defective cigarette images, category defect charts, a defective cigarette quantity curve, and a finished cigarette defective rate curve. The linked display between the analysis results corresponding to each quality inspection sub - index may include at least three cases, which are described separately below.

[0135] First: When a defect selection operation for the cigarette defect rate percentage chart is received, determine the target cigarette appearance defect, and prominently display the percentage information corresponding to the target cigarette appearance defect in the cigarette defect rate percentage chart; update the defective cigarette table, defective cigarette images, category cigarette defect charts, defective cigarette quantity curve, and finished cigarette defective rate curve based on the target cigarette appearance defect, and display the updated defective cigarette table, defective cigarette images, category cigarette defect charts, defective cigarette quantity curve, and finished cigarette defective rate curve in the target interface.

[0136] Among them, the target cigarette appearance defect can be a selected cigarette appearance defect. Highlighting can include highlighting the proportion information corresponding to the target cigarette appearance defect in the cigarette defect rate proportion chart; or, graying out the proportion information of other cigarette appearance defects except the target cigarette appearance defect in the cigarette defect rate proportion chart. The updated defective cigarette table can be a table only including the relevant data of the target cigarette appearance defect. The updated defective cigarette image can be a defective cigarette image only including the target cigarette appearance defect. The updated category cigarette defect chart can be a category cigarette defect chart only characterizing the target cigarette appearance defect. The updated defective cigarette quantity curve can be a defective cigarette quantity curve only characterizing the target cigarette appearance defect. The updated finished cigarette defect rate curve can be a finished cigarette defect rate curve only characterizing the target cigarette appearance defect.

[0137] Second: When receiving a data selection operation for the defective cigarette table, determine the target defect information, and highlight the data row where the target defect information is located in the defective cigarette table; update the cigarette defect rate proportion chart, category cigarette defect chart, defective cigarette image, defective cigarette quantity curve, and finished cigarette defect rate curve based on the target defect information, and display the updated cigarette defect rate proportion chart, category cigarette defect chart, defective cigarette image, defective cigarette quantity curve, and finished cigarette defect rate curve in the target interface.

[0138] Among them, the target defect information can be the selected table data. The target defect information can include a cigarette appearance defect identifier and a cigarette production machine station identifier, or only include a cigarette appearance defect identifier. Highlighting can include highlighting the data row where the target defect information is located in the defective cigarette table; or, graying out the other data rows except the data row where the target defect information is located in the defective cigarette table. The updated cigarette defect rate proportion chart can be a cigarette defect rate proportion chart highlighting the proportion information corresponding to the cigarette appearance defect identifier included in the target defect information. The updated defective cigarette image can be a defective cigarette image only including the target defect information. The updated category cigarette defect chart can be a category cigarette defect chart only characterizing the target defect information. The updated defective cigarette quantity curve can be a defective cigarette quantity curve only characterizing the target defect information. The updated finished cigarette defect rate curve can be a finished cigarette defect rate curve only characterizing the target defect information.

[0139] The third type: when receiving a category selection operation for the category cigarette defect diagram, determine the target cigarette category, and prominently display the defect cigarette quantity display information of the target cigarette category in the category cigarette defect diagram; update the cigarette defect rate proportion diagram, defect cigarette table, defect cigarette image, defect cigarette quantity curve, and finished cigarette defect rate curve based on the target cigarette category, and display the updated cigarette defect rate proportion diagram, defect cigarette table, defect cigarette image, defect cigarette quantity curve, and finished cigarette defect rate curve in the target interface.

[0140] Among them, the target cigarette category can be the selected cigarette category. The prominent display can include highlighting the defect cigarette quantity display information of the target cigarette category in the category cigarette defect diagram; or, graying out the defect cigarette quantity display information of other cigarette categories except the target cigarette category in the category cigarette defect diagram. The updated cigarette defect rate proportion diagram can be a diagram that only represents the cigarette appearance defect types existing in the target cigarette category. The updated defect cigarette table can be a table that only contains relevant data on the cigarette appearance defect types existing in the target cigarette category. The updated defect cigarette image can be an image that only includes the defect cigarettes of the target cigarette category. The updated defect cigarette quantity curve can be a curve that only represents the quantity of defect cigarettes of the target cigarette category. The updated finished cigarette defect rate curve can be a curve that only represents the defect rate of finished cigarettes of the target cigarette category.

[0141] The technical solution of the embodiment of the present invention, when receiving a trigger operation for any result data in the analysis results corresponding to the quality inspection sub-indicators, prominently displays the triggered result data in the analysis results, and updates the analysis results corresponding to other quality inspection sub-indicators based on the triggered result data, and displays the updated analysis results in the target interface, achieving the effect of linkage analysis and linkage display between the analysis results of different quality inspection sub-indicators, which helps to discover deeper problems.

[0142] Embodiment 4

[0143] Figure 8 It is a flowchart of a method for displaying cigarette appearance quality inspection data provided by the fourth embodiment of the present invention. On the basis of the foregoing embodiments, the analysis results displayed in the target interface can be updated by setting filtering conditions. The specific implementation manner can refer to the technical solution of this embodiment. Among them, the same or similar technical terms as those in the above embodiments will not be elaborated here.

[0144] As Figure 8 shown, the method includes:

[0145] S410. In response to a data display request for the appearance quality inspection result of the target sample to be displayed, obtain the quality inspection related data corresponding to the target sample within the historical time range.

[0146] S420. According to the quality inspection related data, determine the data analysis result corresponding to the appearance of the target sample under the target quality inspection index, and display the data analysis result in the target interface, where the target quality inspection index is associated with the sample type of the target sample; the data analysis result includes the analysis results corresponding to multiple quality inspection sub - indexes associated with the target quality inspection index; the target interface also includes a filtering control.

[0147] S430. When a filtering condition editing operation for the filtering control is received, determine the target filtering condition, determine the target filtering result based on the target filtering condition, and highlight the target filtering result in the analysis result corresponding to the corresponding quality inspection sub - index.

[0148] Among them, the filtering control can be an interactive operation entry provided to the user side for the user to edit the data filtering condition. The filtering condition editing operation can include a filtering condition selection operation and / or a filtering condition input operation. The target filtering condition can be the condition based on which the data analysis result is filtered. The target filtering condition can include information of at least one dimension. Optionally, the target filtering condition includes information of at least one of the time dimension, the defect type dimension, and the production machine dimension. The target filtering result can be the result data in the data analysis result that meets the target filtering condition.

[0149] In this embodiment, when a trigger operation for the filtering control is received, multiple - dimension filtering options can be displayed. Further, for the multiple - dimension filtering options, when a trigger operation for the dimension filtering option is received, at least one candidate filtering information associated with the dimension filtering option can be displayed. Further, when a selection trigger operation for the candidate filtering information is received, the target filtering condition can be determined based on the triggered candidate filtering information. Further, when the target filtering condition is determined, the target filtering result can be determined based on the target filtering condition. Further, the target filtering result can be highlighted in the analysis result corresponding to the quality inspection sub - index including the target filtering result.

[0150] Exemplarily, assume that the target screening condition is E09 broken cigarette, that is, the cigarette appearance defect identifier is broken cigarette, and the cigarette production machine station identifier is E09. Further, the target screening result corresponding to the target screening condition may be the data analysis result of the cigarette sample with the cigarette appearance defect identifier being broken cigarette and produced by machine station E09. Further, for the cigarette defect rate proportion chart, the defect rate proportion information corresponding to the broken cigarette can be prominently displayed in the cigarette defect rate proportion chart. For the defective cigarette table, the data rows containing broken cigarette and E09 can be prominently displayed in the defective cigarette table. For the defective cigarette image, the defective cigarette image of the cigarette produced by E09 and with the cigarette appearance defect being broken cigarette can be shown. For the cigarette category defective cigarette chart, the display information of the number of defective cigarettes corresponding to the cigarette category with the cigarette appearance defect being broken cigarette and produced by E09 can be prominently displayed in the cigarette category defective cigarette chart.

[0151] In the technical solution of the embodiment of the present invention, when receiving a screening condition editing operation for a screening control, the target screening condition is determined, the target screening result is determined based on the target screening condition, and the target screening result is prominently displayed in the analysis result corresponding to the corresponding quality inspection sub-index, realizing a flexible interaction method for the data analysis process and achieving the effect of linkage analysis and linkage display among the analysis results of different quality inspection sub-indices.

[0152] Embodiment Five

[0153] Figure 9 is a schematic structural diagram of a display device for cigarette appearance quality inspection data provided in Embodiment Five of the present invention. As Figure 9 shown, the device includes: a data acquisition module 510 and a result display module 520.

[0154] Among them, the data acquisition module 510 is configured to obtain quality inspection associated data corresponding to the target sample within a target historical time range in response to a data display request for displaying the appearance quality inspection result of the target sample; wherein, the target sample includes at least one of a cigarette sample, a cigarette box sample, and a cigarette strip sample containing a preset number of cigarette boxes; the result display module 520 is configured to determine the data analysis result corresponding to the appearance of the target sample under the target quality inspection index according to the quality inspection associated data, and display the data analysis result in a target interface; wherein, the target quality inspection index is associated with the sample type of the target sample; the data analysis result includes the analysis results corresponding to multiple quality inspection sub-indices associated with the target quality inspection index.

[0155] The technical solution of the embodiment of the present invention obtains quality inspection related data corresponding to the target sample within a historical time range by responding to a data display request for the appearance quality inspection result of the displayed target sample; further, according to the quality inspection related data, determines the data analysis result corresponding to the appearance of the target sample under the target quality inspection index, and displays the data analysis result on the target interface; wherein, the data analysis result includes the analysis results corresponding to multiple quality inspection sub - indexes associated with the target quality inspection index, solves the problem of certain limitations in data analysis and data display in the related art, realizes multi - dimensional data analysis of the appearance quality inspection result of the target sample under its corresponding target quality inspection index, and visualizes the analysis results of the obtained multiple quality inspection sub - indexes, realizes the effect of comprehensively analyzing and visually displaying the appearance quality inspection result of the target sample, and furthermore, realizes the effect of one - key analysis and display of the appearance quality inspection result of the target sample, thereby improving the data processing efficiency, enabling timely grasp of the fluctuations in the appearance quality of products during the production process, and realizing more efficient appearance quality control.

[0156] Optionally, it is characterized in that the result display module 520 includes: a result display unit.

[0157] Present the analysis result corresponding to each quality inspection sub - index in the target interface in the display form corresponding to the quality inspection sub - index.

[0158] Optionally, the target sample includes a cigarette sample; the target quality inspection index includes a cigarette appearance index; the multiple quality inspection sub - indexes include the proportion of defective cigarette rate, details of defective cigarettes, the number of defective cigarettes of different categories, the trend of the number of defective cigarettes, and the trend of the defective cigarette rate of finished cigarettes;

[0159] The result display unit includes: a proportion of defective cigarette rate chart display sub - unit, a defective cigarette table display sub - unit, a defective cigarette chart of different categories display sub - unit, a defective cigarette number curve display sub - unit, and a defective cigarette rate curve display sub - unit of finished cigarettes.

[0160] The proportion of defective cigarette rate chart display sub - unit is used to generate a proportion of defective cigarette rate chart based on the analysis result corresponding to the proportion of defective cigarette rate, and present the proportion of defective cigarette rate chart in the target interface in the form of a pie chart; wherein, the proportion of defective cigarette rate chart includes the proportion of defective rate information corresponding to at least one cigarette appearance defect; and,

[0161] The defective cigarette stick table display subunit is used to generate a defective cigarette stick table based on the defective cigarette stick association data in the analysis result corresponding to the details of the defective cigarette stick and display it on the target interface, and when at least one defective cigarette stick image is included in the analysis result, display at least one of the defective cigarette stick images on the target interface; wherein, the fields in the defective cigarette stick table include cigarette stick appearance defect identification, cigarette stick production machine station identification, number of defective cigarette sticks, and defect rate; and,

[0162] The defective cigarette stick quantity chart display subunit for cigarette categories is used to generate a defective cigarette stick quantity chart for cigarette categories based on the analysis result corresponding to the quantity of defective cigarette sticks for cigarette categories, and present the defective cigarette stick quantity chart for cigarette categories in the form of a bar chart on the target interface; wherein, the defective cigarette stick quantity chart for cigarette categories is used to represent the quantity of defective cigarette sticks of at least one cigarette category; the defective cigarette stick quantity chart for cigarette categories includes defective cigarette stick quantity display information corresponding to at least one cigarette category; and,

[0163] The defective cigarette stick quantity curve display subunit is used to generate a defective cigarette stick quantity curve based on the analysis result corresponding to the defective cigarette stick quantity trend, and present the defective cigarette stick quantity curve in the form of a line chart on the target interface; wherein, the analysis result corresponding to the defective cigarette stick quantity trend includes the target historical time range and the quantity of defective cigarette sticks corresponding to at least one historical time range associated with the target historical time range; the defective cigarette stick quantity includes the quantity of process defective cigarette sticks and / or the quantity of finished product defective cigarette sticks; and,

[0164] The finished product cigarette stick defect rate curve display subunit is used to generate a finished product cigarette stick defect rate curve based on the analysis result corresponding to the finished product cigarette stick defect rate trend, and present the finished product cigarette stick defect rate curve in the form of a line chart on the target interface; wherein, the analysis result corresponding to the finished product cigarette stick defect rate trend includes the target historical time range and the finished product cigarette stick defect rate corresponding to at least one historical time range associated with the target historical time range.

[0165] Optionally, the target sample includes a cigarette box sample; the target quality inspection index includes the cigarette box appearance index; the multiple quality inspection sub-indices include the proportion of cigarette box defect rate, details of defective cigarette boxes, quantity of defective cigarette boxes for cigarette categories, defective cigarette box quantity trend, and finished product cigarette box defect rate trend;

[0166] The result display unit includes: a cigarette box defect rate proportion chart display subunit, a defective cigarette box table display subunit, a defective cigarette box quantity chart display subunit for cigarette categories, a defective cigarette box quantity curve display subunit, and a finished product cigarette box defect rate curve display subunit.

[0167] The cigarette case defect rate proportion chart display subunit is used to generate a cigarette case defect rate proportion chart based on the analysis result corresponding to the cigarette case defect rate proportion, and present the cigarette case defect rate proportion chart in the form of a pie chart on the target interface; wherein, the cigarette case defect rate proportion chart includes defect rate proportion information corresponding to at least one cigarette case appearance defect; and,

[0168] The defective cigarette case table display subunit is used to generate a defective cigarette case table based on the defective cigarette case associated data in the analysis result corresponding to the defective cigarette case details and display it on the target interface, and display at least one defective cigarette case image on the target interface when at least one defective cigarette case image is included in the analysis result; wherein, the fields in the defective cigarette case table include cigarette case appearance defect identification, cigarette case production machine station identification, number of defective cigarette cases, and defect rate; and,

[0169] The category cigarette case defect chart display subunit is used to generate a category cigarette case defect chart based on the analysis result corresponding to the number of defective category cigarette cases, and present the category cigarette case defect chart in the form of a bar chart on the target interface; wherein, the category cigarette case defect chart is used to characterize the number of defective cigarette cases of at least one cigarette category; the category cigarette case defect chart includes defect cigarette case number display information corresponding to at least one cigarette category; and,

[0170] The defective cigarette case number curve display subunit is used to generate a defective cigarette case number curve based on the analysis result corresponding to the defective cigarette case number trend, and present the defective cigarette case number curve in the form of a line chart on the target interface; wherein, the analysis result corresponding to the defective cigarette case number trend includes the target historical time range and the number of defective cigarette cases corresponding to at least one historical time range associated with the target historical time range; the defective cigarette case number includes the number of process defective cigarette cases and / or the number of finished product defective cigarette cases; and,

[0171] The finished product cigarette case defect rate curve display subunit is used to generate a finished product cigarette case defect rate curve based on the analysis result corresponding to the finished product cigarette case defect rate trend, and present the finished product cigarette case defect rate curve in the form of a line chart on the target interface; wherein, the analysis result corresponding to the finished product cigarette case defect rate trend includes the target historical time range and the finished product cigarette case defect rate corresponding to at least one historical time range associated with the target historical time range.

[0172] Optionally, the target sample includes a cigarette bar sample; the target quality inspection index includes a cigarette bar appearance index; the multiple quality inspection sub - indexes include cigarette bar defect rate proportion, defective cigarette bar details, number of defective category cigarette bars, defective cigarette bar number trend, and finished product cigarette bar defect rate trend;

[0173] The result display unit includes: a display subunit for the proportion chart of cigarette bar defect rates, a display subunit for the table of defective cigarette bars, a display subunit for the defect chart of cigarette bars by category, a display subunit for the curve of the number of defective cigarette bars, and a display subunit for the curve of the defect rate of finished cigarette bars.

[0174] The display subunit for the proportion chart of cigarette bar defect rates is used to generate a proportion chart of cigarette bar defect rates based on the analysis result corresponding to the proportion of cigarette bar defect rates, and present the proportion chart of cigarette bar defect rates in the form of a pie chart on the target interface; wherein, the proportion chart of cigarette bar defect rates includes the proportion information of defect rates corresponding to at least one cigarette bar appearance defect; and,

[0175] The display subunit for the table of defective cigarette bars is used to generate a table of defective cigarette bars based on the associated data of defective cigarette bars in the analysis result corresponding to the details of defective cigarette bars and display it on the target interface, and display at least one image of the defective cigarette bars on the target interface when at least one image of the defective cigarette bars is included in the analysis result; wherein, the fields in the table of defective cigarette bars include cigarette bar appearance defect identifiers, cigarette bar production machine station identifiers, the number of defective cigarette bars, and defect rates; and,

[0176] The display subunit for the defect chart of cigarette bars by category is used to generate a defect chart of cigarette bars by category based on the analysis result corresponding to the number of defective cigarette bars by category, and present the defect chart of cigarette bars by category in the form of a bar chart on the target interface; wherein, the defect chart of cigarette bars by category is used to represent the number of defective cigarette bars of at least one cigarette category; the defect chart of cigarette bars by category includes the display information of the number of defective cigarette bars corresponding to at least one cigarette category; and,

[0177] The display subunit for the curve of the number of defective cigarette bars is used to generate a curve of the number of defective cigarette bars based on the analysis result corresponding to the trend of the number of defective cigarette bars, and present the curve of the number of defective cigarette bars in the form of a line chart on the target interface; wherein, the analysis result corresponding to the trend of the number of defective cigarette bars includes the target historical time range and the number of defective cigarette bars corresponding to at least one historical time range associated with the target historical time range; the number of defective cigarette bars includes the number of process defective cigarette bars and / or the number of finished defective cigarette bars; and,

[0178] The display subunit for the curve of the defect rate of finished cigarette bars is used to generate a curve of the defect rate of finished cigarette bars based on the analysis result corresponding to the trend of the defect rate of finished cigarette bars, and present the curve of the defect rate of finished cigarette bars in the form of a line chart on the target interface; wherein, the analysis result corresponding to the trend of the defect rate of finished cigarette bars includes the target historical time range and the defect rate of finished cigarette bars corresponding to at least one historical time range associated with the target historical time range.

[0179] Optionally, it is characterized in that the target sample includes at least one of a cigarette sample, a cigarette case sample, and a cigarette bar sample, the target quality inspection index further includes a stubborn type of appearance defect index, and the multiple quality inspection sub-indices include a stubborn type of defect rate, the number of stubborn type of defect samples, and the trend of the number of stubborn type of defect samples;

[0180] The result display unit includes: a stubborn type of defect rate table display sub-unit, a stubborn type of defect quantity table display sub-unit, and a stubborn type of defect quantity curve display sub-unit.

[0181] The stubborn type of defect rate table display sub-unit is configured to generate a stubborn type of defect rate table based on the analysis result corresponding to the stubborn type of defect rate, and display the stubborn type of defect rate table in the target interface; and,

[0182] The stubborn type of defect quantity table display sub-unit is configured to generate a stubborn type of defect quantity table based on the analysis result corresponding to the number of stubborn type of defect samples, and display the stubborn type of defect quantity table in the target interface; and,

[0183] The stubborn type of defect quantity curve display sub-unit is configured to generate a stubborn type of defect quantity curve based on the analysis result corresponding to the trend of the number of stubborn type of defect samples, and present the stubborn type of defect quantity curve in the form of a line chart in the target interface; wherein, the analysis result corresponding to the trend of the number of stubborn type of defect samples includes the target historical time range and the number of defect samples corresponding to at least one historical time range associated with the target historical time range; the number of defect samples includes the number of in-process defect samples and / or the number of finished product defect samples.

[0184] Optionally, the device further includes: a result update module.

[0185] The result update module is configured to, when receiving a trigger operation for any result data in the analysis result corresponding to the quality inspection sub-index, highlight the triggered result data in the analysis result, and update the analysis results corresponding to the other quality inspection sub-indices based on the triggered result data, and display the updated analysis results in the target interface.

[0186] Optionally, the result display module 520 includes: a data preprocessing unit, a model retrieval unit, and a result determination unit.

[0187] The data preprocessing unit is configured to preprocess the quality inspection associated data according to a preset preprocessing method to obtain target quality inspection associated data;

[0188] The model retrieval unit is configured to retrieve a data analysis model associated with the target quality inspection index;

[0189] A result determination unit for processing the target quality inspection associated data according to the data analysis model to obtain a data analysis result corresponding to the appearance of the target sample under the target quality inspection index.

[0190] Optionally, the target interface further includes a filtering control; the apparatus further includes: a data filtering module.

[0191] The data filtering module is configured to determine a target filtering condition when receiving a filtering condition editing operation for the filtering control, determine a target filtering result based on the target filtering condition, and highlight the target filtering result in the analysis result corresponding to the corresponding quality inspection sub-index.

[0192] Optionally, the apparatus further includes: a link generation module.

[0193] The link generation module is configured to generate a data sharing link based on the data analysis result displayed in the target interface when receiving a data sharing request, so as to view the data analysis result based on the data sharing link.

[0194] The display device for cigarette appearance quality inspection data provided by the embodiments of the present invention can execute the display method for cigarette appearance quality inspection data provided by any embodiment of the present invention, and has corresponding function modules and beneficial effects for executing the method.

[0195] Embodiment Six

[0196] Figure 10 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processing, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0197] As Figure 10As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as read-only memory (ROM) 12, random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12, and RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0198] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0199] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for displaying cigarette appearance quality inspection data.

[0200] In some embodiments, the method for displaying cigarette appearance quality inspection data can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for displaying cigarette appearance quality inspection data described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for displaying cigarette appearance quality inspection data by any other appropriate means (e.g., by means of firmware).

[0201] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0202] The computer program for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer program can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0203] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0204] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0205] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), target blockchain network, and the Internet.

[0206] The computing system can include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0207] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0208] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for displaying cigarette appearance quality inspection data, characterized in that: include: In response to a data display request for displaying the appearance quality inspection result of a target sample, obtaining quality inspection-related data corresponding to the target sample within a target historical time range; wherein the target sample includes at least one of a cigarette sample, a cigarette box sample, and a cigarette rod sample containing a preset number of cigarette boxes; Determine, according to the quality inspection related data, a data analysis result corresponding to the appearance of the target sample under the target quality inspection index, and display the data analysis result in a target interface; Among them, the target quality inspection indicator is associated with the sample type of the target sample; and the data analysis result includes analysis results corresponding to multiple quality inspection sub-indicators associated with the target quality inspection indicator.

2. The method for displaying cigarette appearance quality inspection data according to claim 1, characterized in that: The displaying of the data analysis result in the target interface includes: The analysis results corresponding to the quality inspection sub-indicators are presented in the target interface in the display form corresponding to each of the quality inspection sub-indicators.

3. The method for displaying cigarette appearance quality inspection data according to claim 2, characterized in that: The target samples include cigarette samples; the target quality inspection indicators include cigarette appearance indicators; the multiple quality inspection sub-indicators include cigarette defect rate ratio, defective cigarette details, number of defective cigarettes by category, defective cigarette number trend and finished cigarette defect rate trend; Presenting the analysis results corresponding to the quality inspection sub-indicators in the target interface in the display form corresponding to each quality inspection sub-indicator includes: Generate a cigarette defect rate percentage graph based on the analysis results corresponding to the cigarette defect rate percentage, and present the cigarette defect rate percentage graph in the form of a pie chart in the target interface; wherein the cigarette defect rate percentage graph includes defect rate percentage information corresponding to at least one cigarette appearance defect; and, Generate a defective cigarette table based on the defective cigarette associated data in the analysis result corresponding to the defective cigarette details and display it in the target interface, and when the analysis result contains at least one defective cigarette image, display at least one defective cigarette image in the target interface; wherein the fields in the defective cigarette table include cigarette appearance defect identification, cigarette production machine identification, defective cigarette quantity and defect rate; and, Generate a category cigarette defect map based on the analysis result corresponding to the number of defective cigarettes in the category, and present the category cigarette defect map in the form of a bar graph in the target interface; wherein the category cigarette defect map is used to represent the number of defective cigarettes of at least one cigarette category; the category cigarette defect map includes display information of the number of defective cigarettes corresponding to at least one cigarette category; and, A defective cigarette number curve is generated based on the analysis result corresponding to the defective cigarette number trend, and the defective cigarette number curve is presented in the target interface in the form of a line graph; wherein the analysis result corresponding to the defective cigarette number trend includes the target historical time range and the number of defective cigarettes corresponding to at least one historical time range associated with the target historical time range; the number of defective cigarettes includes the number of process defective cigarettes and / or the number of finished product defective cigarettes; and, A finished cigarette defect rate curve is generated based on the analysis results corresponding to the finished cigarette defect rate trend, and the finished cigarette defect rate curve is presented in the target interface in the form of a line graph; wherein the analysis results corresponding to the finished cigarette defect rate trend include the target historical time range and the finished cigarette defect rate corresponding to at least one historical time range associated with the target historical time range.

4. The method for displaying cigarette appearance quality inspection data according to claim 2, characterized in that: The target samples include cigarette box samples; the target quality inspection indicators include cigarette box appearance indicators; the multiple quality inspection sub-indicators include cigarette box defect rate ratio, defective cigarette box details, number of defective cigarette boxes by category, defective cigarette box number trend and finished cigarette box defect rate trend; Presenting the analysis results corresponding to the quality inspection sub-indicators in the target interface in the display form corresponding to each quality inspection sub-indicator includes: Generate a cigarette case defect rate percentage graph based on the analysis result corresponding to the cigarette case defect rate percentage, and present the cigarette case defect rate percentage graph in the form of a pie chart in the target interface; wherein the cigarette case defect rate percentage graph includes defect rate percentage information corresponding to at least one cigarette case appearance defect; and, generating a defective cigarette box table based on the defective cigarette box associated data in the analysis result corresponding to the defective cigarette box details and displaying it in the target interface, and displaying at least one defective cigarette box image in the target interface when the analysis result includes at least one defective cigarette box image; wherein the fields in the defective cigarette box table include a cigarette box appearance defect identifier, a cigarette box production machine identifier, a defective cigarette box quantity, and a defect rate; and, Generate a category cigarette box defect map based on the analysis result corresponding to the number of defective cigarette boxes of the category, and present the category cigarette box defect map in the form of a bar chart in the target interface; wherein the category cigarette box defect map is used to represent the number of defective cigarette boxes of at least one cigarette category; the category cigarette box defect map includes display information of the number of defective cigarette boxes corresponding to at least one cigarette category; and, A defective cigarette box quantity curve is generated based on the analysis result corresponding to the defective cigarette box quantity trend, and the defective cigarette box quantity curve is presented in the target interface in the form of a line graph; wherein the analysis result corresponding to the defective cigarette box quantity trend includes the target historical time range and the number of defective cigarette boxes corresponding to at least one historical time range associated with the target historical time range; the number of defective cigarette boxes includes the number of process defective cigarette boxes and / or the number of finished product defective cigarette boxes; and, A finished cigarette box defect rate curve is generated based on the analysis results corresponding to the finished cigarette box defect rate trend, and the finished cigarette box defect rate curve is presented in the target interface in the form of a line graph; wherein the analysis results corresponding to the finished cigarette box defect rate trend include the target historical time range and the finished cigarette box defect rate corresponding to at least one historical time range associated with the target historical time range.

5. The method for displaying cigarette appearance quality inspection data according to claim 2, characterized in that: The target samples include tobacco rod samples; the target quality inspection indicators include tobacco rod appearance indicators; the multiple quality inspection sub-indicators include tobacco rod defect rate ratio, defective tobacco rod details, number of defective tobacco rods by category, defective tobacco rod number trend and finished tobacco rod defect rate trend; Presenting the analysis results corresponding to the quality inspection sub-indicators in the target interface in the display form corresponding to each quality inspection sub-indicator includes: Generate a cigarette rod defect rate percentage graph based on the analysis results corresponding to the cigarette rod defect rate percentage, and present the cigarette rod defect rate percentage graph in the form of a pie chart in the target interface; wherein the cigarette rod defect rate percentage graph includes defect rate percentage information corresponding to at least one cigarette rod appearance defect; and, Based on the defective cigarette rod associated data in the analysis result corresponding to the defective cigarette rod details, a defective cigarette rod table is generated and displayed in the target interface, and when the analysis result includes at least one defective cigarette rod image, at least one defective cigarette rod image is displayed in the target interface; wherein the fields in the defective cigarette rod table include a cigarette rod appearance defect identifier, a cigarette rod production machine identifier, a defective cigarette rod quantity, and a defect rate; and, Generate a category cigarette rod defect map based on the analysis result corresponding to the number of defective cigarette rods of the category, and present the category cigarette rod defect map in the form of a bar graph in the target interface; wherein the category cigarette rod defect map is used to represent the number of defective cigarette rods of at least one cigarette category; the category cigarette rod defect map includes display information of the number of defective cigarette rods corresponding to at least one cigarette category; and, A defective cigarette rod quantity curve is generated based on the analysis result corresponding to the defective cigarette rod quantity trend, and the defective cigarette rod quantity curve is presented in the target interface in the form of a line graph; wherein the analysis result corresponding to the defective cigarette rod quantity trend includes the target historical time range and the number of defective cigarette rods corresponding to at least one historical time range associated with the target historical time range; the number of defective cigarette rods includes the number of process defective cigarette rods and / or the number of finished product defective cigarette rods; and, A finished cigarette rod defect rate curve is generated based on the analysis results corresponding to the finished cigarette rod defect rate trend, and the finished cigarette rod defect rate curve is presented in the target interface in the form of a line graph; wherein the analysis results corresponding to the finished cigarette rod defect rate trend include the target historical time range and the finished cigarette rod defect rate corresponding to at least one historical time range associated with the target historical time range.

6. The method for displaying cigarette appearance quality inspection data according to claim 2, characterized in that: The target sample includes at least one of a cigarette sample, a cigarette box sample and a cigarette rod sample, the target quality inspection index also includes a stubborn appearance defect index, and the plurality of quality inspection sub-indicators include a stubborn defect rate, a stubborn defect sample quantity and a stubborn defect sample quantity trend; Presenting the analysis results corresponding to the quality inspection sub-indicators in the target interface in the display form corresponding to each quality inspection sub-indicator includes: generating a stubborn defect rate table based on the analysis results corresponding to the stubborn defect rate, and displaying the stubborn defect rate table in the target interface; and, generating a table of the number of stubborn defects based on the analysis results corresponding to the number of stubborn defect samples, and displaying the table of the number of stubborn defects in the target interface; and, A stubborn defect quantity curve is generated based on the analysis results corresponding to the trend of the stubborn defect sample quantity, and the stubborn defect quantity curve is presented in the target interface in the form of a line graph; wherein the analysis results corresponding to the trend of the stubborn defect sample quantity include the target historical time range and the number of defective samples corresponding to at least one historical time range associated with the target historical time range; the number of defective samples includes the number of process defective samples and / or the number of finished product defective samples.

7. The method for displaying cigarette appearance quality inspection data according to claim 1, characterized in that: Also includes: When a trigger operation is received for any result data in the analysis results corresponding to the quality inspection sub-indicators, the triggered result data will be highlighted in the analysis results, and the analysis results corresponding to other quality inspection sub-indicators will be updated based on the triggered result data, and the updated analysis results will be displayed in the target interface.

8. The method for displaying cigarette appearance quality inspection data according to claim 1, characterized in that: Determining the data analysis result corresponding to the appearance of the target sample under the target quality inspection index according to the quality inspection associated data includes: Preprocessing the quality inspection related data according to a preset preprocessing method to obtain target quality inspection related data; Retrieve the data analysis model associated with the target quality inspection indicators; The target quality inspection associated data is processed according to the data analysis model to obtain a data analysis result corresponding to the appearance of the target sample under the target quality inspection index.

9. The method for displaying cigarette appearance quality inspection data according to claim 1, characterized in that: The target interface also includes a filter control; the method further includes: When a filter condition editing operation for the filter control is received, a target filter condition is determined, a target filter result is determined based on the target filter condition, and the target filter result is highlighted in the analysis result corresponding to the corresponding quality inspection sub-indicator.

10. A device for displaying cigarette appearance quality inspection data, characterized in that: include: A data acquisition module, configured to respond to a data display request for displaying the appearance quality inspection result of a target sample, and to acquire quality inspection-related data corresponding to the target sample within a target historical time range; wherein the target sample includes at least one of a cigarette sample, a cigarette box sample, and a cigarette rod sample containing a preset number of cigarette boxes; A result display module is used to determine the data analysis results corresponding to the appearance of the target sample under the target quality inspection index according to the quality inspection related data, and display the data analysis results in the target interface; wherein the target quality inspection index is associated with the sample type of the target sample; and the data analysis results include analysis results corresponding to multiple quality inspection sub-indicators associated with the target quality inspection index.

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