A method for producing a pvdc film

Abstract

The application provides a PVDC film preparation method, and belongs to the technical field of composition preparation management, and specifically comprises the following steps: determining available preparation scale intervals of different preparation methods based on the deviation of reference index data under different preparation scale intervals and the index requirement intervals of application occasions of interest; determining recommended preparation methods in the preparation methods based on the distribution data of the available preparation scale intervals of the different preparation methods and index variation types; obtaining the reference index data of the available preparation scale interval and the adjacent preparation scale interval in the recommended preparation methods; and determining the recommended preparation scale interval of the recommended preparation method in combination with the matching result of the preparation scale and shipment data in the available preparation scale interval, so that the reliability of the preparation process is improved.

Description

Technical Field

[0001] This invention belongs to the field of composition preparation and management technology, and particularly relates to a method for preparing PVDC membrane. Background Technology

[0002] PVDC (chemical name polyvinylidene chloride) is currently the packaging material with the best overall barrier properties among plastic packaging materials in the world. Unlike polyvinyl alcohol, whose gas barrier properties decrease sharply with increasing moisture absorption, and unlike nylon film, whose moisture barrier properties deteriorate due to water absorption, PVDC is a high-barrier material with excellent moisture and gas barrier properties.

[0003] To achieve the preparation and processing of PVDC films, the existing technical solution, as described in invention patent application CN202410452861.7 "A Heat-Resistant and Tearable PVDC Film and Its Preparation Method," uses 70-90 parts of vinylidene chloride, 10-15 parts of vinyl chloride, and 2-5 parts of a vinyl compound containing nitrogen-containing heterocycles. This results in a PVDC film with good thermal stability, making it less prone to degradation under heated conditions. However, analysis reveals the following technical problems:

[0004] In the process of preparing PVDC membranes, existing technical solutions neglect to determine the preparation method of PVDC membranes based on the requirements of PVDC membranes, so as to dynamically adjust the preparation method of PVDC membranes to meet the requirements of PVDC membranes.

[0005] To address the aforementioned technical problems, this application specifically provides a method for preparing a PVDC membrane. Summary of the Invention

[0006] To achieve the objectives of this invention, the following technical solution is adopted:

[0007] According to one aspect of the present invention, a method for preparing a PVDC film is provided.

[0008] A method for preparing a PVDC film, specifically comprising:

[0009] S1 determines the shipment data of the PVDC film in different application scenarios through the shipment data of the PVDC film, and determines the application scenarios of interest in the application scenarios based on the shipment data of different application scenarios.

[0010] S2 determines the reference index data and the index variation type of the reference index data under different preparation scale ranges based on the distribution of index data of different preparation methods under different preparation scale ranges;

[0011] S3 determines the available preparation scale ranges for different preparation methods based on the deviation between the reference index data and the index requirement ranges for the application of interest under different preparation scale ranges. Based on the distribution data of the available preparation scale ranges for different preparation methods and the index variation type, the recommended preparation method among the preparation methods is determined.

[0012] S4 acquires reference index data for the available preparation scale range and adjacent preparation scale ranges in the recommended preparation method, and determines the recommended preparation scale range of the recommended preparation method by combining the matching results of preparation scale and shipment data in the available preparation scale range.

[0013] The beneficial effects of this invention are as follows:

[0014] Based on the distribution data of available preparation scale ranges and the types of index changes for different preparation methods, the recommended preparation method is determined. This takes into account the number and dispersion of available preparation scale ranges in different preparation methods, as well as the changes in indices in different available preparation scale ranges. This achieves the determination of the recommended preparation method from multiple perspectives, ensuring the adaptability of the preparation method to the shipping requirements.

[0015] Based on the available preparation scale range in the recommended preparation method and the reference index data of adjacent preparation scale ranges, as well as the matching results between the preparation scale and shipment data in the available preparation scale range, the recommended preparation scale range of the recommended preparation method is determined. This not only takes into account the fit between the preparation scale of the available preparation scale range and the shipment demand, thus meeting the shipment demand requirements, but also fully considers the fit between the reference index data of the available preparation scale range and the reference index data of adjacent preparation scale ranges by further combining the deviation between the reference index data and the index requirement range, ensuring the reliability and accuracy of the preparation process.

[0016] A further technical solution is that the application scenarios include meat packaging, fish packaging, fruit packaging, vegetable packaging, pharmaceutical packaging, cosmetic packaging, and daily chemical product packaging.

[0017] A further technical solution is that the method for determining the application scenarios of interest in the aforementioned application scenarios is as follows:

[0018] Based on the shipment data in the aforementioned application scenarios, determine the historical shipment count for each application scenario;

[0019] Based on the shipment volume of different historical shipments, the number of historical shipments with a shipment volume greater than the preset shipment volume is determined and used as the screening shipment volume.

[0020] The number of shipments selected determines whether the application scenario is of interest.

[0021] A further technical solution is that when the number of shipments selected for the application scenario exceeds a preset threshold, the application scenario is determined to be an application scenario of interest.

[0022] A further technical solution is that the method for determining the recommended preparation scale range of the recommended preparation method is as follows:

[0023] The fit coefficient of the available preparation scale range is determined by the deviation between the reference index data of the available preparation scale range and the index requirement range of the application of interest.

[0024] Based on the deviation between the reference index data of the adjacent preparation scale ranges of the available preparation scale range and the index requirement range of the application of interest, the switching adaptation coefficient of the available preparation scale range is determined.

[0025] Based on the matching results between the production scale and shipment data of the available production scale range, the deviation of the production quantity and total shipment in different preset time periods is determined, and the shipment quantity adaptation coefficient of the available production scale range is determined by using the deviation of the production quantity and total shipment in different preset time periods.

[0026] The comprehensive adaptation coefficient is determined by using the shipment volume adaptation coefficient, the switching adaptation coefficient, and the sum of the adaptation coefficients, and the recommended preparation scale range of the recommended preparation method is determined based on the comprehensive adaptation coefficient.

[0027] A further technical solution involves determining the recommended preparation scale range of the recommended preparation method based on the comprehensive fit coefficient, specifically including:

[0028] The preparation scale range with the largest comprehensive fit coefficient is taken as the recommended preparation scale range of the recommended preparation method.

[0029] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0030] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0031] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0032] Figure 1This is a flowchart of a PVDC membrane preparation method;

[0033] Figure 2 This is a flowchart illustrating the methods for determining the application scenario in an application context.

[0034] Figure 3 This is a flowchart illustrating the method for determining the type of indicator change in reference indicator data;

[0035] Figure 4 This is a flowchart illustrating the method for determining the recommended preparation method in the preparation process;

[0036] Figure 5 This is a flowchart illustrating the method for determining the recommended preparation scale range for the recommended preparation method. Detailed Implementation

[0037] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0038] In this application, a targeted preparation method and preparation scale are first determined based on the application scenarios of PVDC membranes, so that the preparation results can meet the requirements of the application scenarios.

[0039] The application scenarios we focus on are those that account for more than 0.2% of the total shipment volume.

[0040] Based on the average value of the index data of different dimensions of indicators under different preparation scales within the preparation scale range, reference index data of different dimensions of indicators are determined. When the proportion of preparation scales whose deviation from the reference index data does not meet the requirements within the preparation scale range is greater than 0.6, the index change type of the reference index data is determined to be a change type; otherwise, it is a stable type.

[0041] The distribution dispersion coefficient of the preparation method is determined based on the preset dispersion coefficient corresponding to the average value of the intervals between different available preparation scale ranges. The index variation coefficient of the preparation method is determined based on the preset variation coefficient corresponding to the number of available preparation scale ranges. The matching coefficient of the preparation method is determined based on the average value of the index variation coefficient and the distribution dispersion coefficient. The preparation method with the largest matching coefficient is selected as the recommended preparation method.

[0042] Example 1

[0043] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a first aspect is provided: the present invention proposes a method for preparing a PVDC film, specifically comprising:

[0044] S1 determines the shipment data of the PVDC film in different application scenarios through the shipment data of the PVDC film, and determines the application scenarios of interest in the application scenarios based on the shipment data of different application scenarios.

[0045] Furthermore, the applications include meat packaging, fish packaging, fruit packaging, vegetable packaging, pharmaceutical packaging, cosmetic packaging, and daily chemical product packaging.

[0046] Specifically, such as Figure 2 As shown, the method for determining the application scenarios of interest in the aforementioned application scenarios is as follows:

[0047] Based on the shipment data in the aforementioned application scenarios, determine the historical shipment count for each application scenario;

[0048] Based on the shipment volume of different historical shipments, the number of historical shipments with a shipment volume greater than the preset shipment volume is determined and used as the screening shipment volume.

[0049] The number of shipments selected determines whether the application scenario is of interest.

[0050] Furthermore, when the number of shipments selected for the application scenario exceeds a preset threshold, the application scenario is determined to be an application scenario of interest.

[0051] Optionally, the method for determining the application scenarios of interest in the aforementioned application scenarios is as follows:

[0052] Based on the shipment data in the aforementioned application scenarios, determine the historical shipment count for each application scenario;

[0053] Based on the shipment volume of different historical shipments, determine the total shipment volume within different preset time periods;

[0054] Whether an application scenario is a matter of interest is determined by the average of the total shipment volume over different preset time periods.

[0055] Optionally, the method for determining the application scenarios of interest in the aforementioned application scenarios is as follows:

[0056] Based on the shipment data in the application scenario, the historical shipment count of the application scenario is determined. If the historical shipment count of the application scenario is less than a preset shipment count threshold, then the application scenario is determined not to be an application scenario of interest.

[0057] When the historical shipment count for the application scenario is not less than a preset shipment count threshold:

[0058] Based on the shipment volume of different historical shipments, the total shipment volume of different historical shipments is determined. When the total shipment volume is greater than the preset shipment volume threshold, the application scenario is determined to be an application scenario of interest.

[0059] When the total shipment volume is not greater than the preset shipment volume threshold:

[0060] Based on the shipment volume of different historical shipments, the number of historical shipments with a shipment volume greater than a preset shipment volume is determined and used as the screening shipment volume. When the screening shipment volume is greater than the preset screening shipment volume threshold, the application scenario is determined to be an application scenario of interest.

[0061] When the number of shipments selected is not greater than the preset number of selections threshold:

[0062] Based on the shipment volume of different historical shipments, the total shipment volume within different preset time periods is determined. When the total shipment volume within different preset time periods is within the shipment volume range, it is determined that the application scenario does not belong to the application scenario of interest.

[0063] When there is a preset time period in which the total shipment volume is not within the preset shipment volume range:

[0064] The preset time period in which the total shipment volume is not within the preset shipment volume range is used as the screening time period. When the number of the screening time periods is greater than the number of preset periods, the application scenario is determined to be an application scenario of interest.

[0065] When the number of the filtering time periods is not greater than the preset number of periods.

[0066] Based on the number of historical shipments within different preset time periods and the shipment volume of different historical shipments, the shipment frequency coefficient for different preset time periods is determined. When the number of preset time periods with a shipment frequency coefficient greater than the preset frequency coefficient threshold is greater than the number of preset periods, the application scenario is determined to be an application scenario of interest.

[0067] When the number of preset time periods with a shipping frequency coefficient greater than the preset frequency coefficient threshold is not greater than the preset number of periods:

[0068] The overall frequency coefficient is determined by using the shipping frequency coefficients of different preset time periods, and the overall frequency coefficient is used to determine whether the application scenario is a scenario of interest.

[0069] Furthermore, when the comprehensive frequency coefficient is greater than the preset frequency threshold, the application scenario is determined to be an application scenario of interest.

[0070] S2 determines the reference index data and the index variation type of the reference index data under different preparation scale ranges based on the distribution of index data of different preparation methods under different preparation scale ranges;

[0071] It should be noted that the preparation scale range is divided according to the preset scale amount.

[0072] Furthermore, the distribution of indicator data within the preparation scale range includes indicator data of different dimensions at different preparation scales within the preparation scale range.

[0073] It is understood that the indicators include oxygen barrier, moisture barrier, odor barrier, heat seal strength, heat resistance, tensile strength, tear strength, and puncture strength.

[0074] Specifically, the method for determining the reference index data within the preparation scale range is as follows:

[0075] Reference index data for different dimensions of indicators are determined based on the average value of the index data for different preparation scales within the stated preparation scale range.

[0076] It should be noted that, as Figure 3 As shown, the method for determining the type of indicator change in the reference indicator data is as follows:

[0077] Based on the index data of different dimensions of indicators under different preparation scales within the preparation scale range, the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data is determined.

[0078] By comparing the deviations of the index data of different dimensions under different preparation scales with the reference index data, the average deviation of the index data of different dimensions under different preparation scales is determined, and the average deviation is used to determine the preparation scale of the deviation.

[0079] The type of index change in the reference index data is determined based on the number of deviation preparation scales.

[0080] Furthermore, the deviation preparation scale is the preparation scale where the average value of the deviation does not meet the requirements.

[0081] It should be noted that the type of index change in the reference index data is determined based on the quantity of the deviation preparation scale, specifically including:

[0082] The index variation type of the reference index data is determined based on the preset variation type corresponding to the quantity of the deviation preparation scale.

[0083] In another embodiment, the method for determining the type of index change in the reference index data is as follows:

[0084] Based on the index data of different dimensions of indicators under different preparation scales within the preparation scale range, the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data is determined.

[0085] By using the deviation of the index data of different dimensions of indicators under different preparation scales and the reference index data, the deviation of the indicators under different preparation scales is determined, and the deviation of the indicators is determined by using the deviation of the indicators under different preparation scales.

[0086] The type of index change in the reference index data is determined based on the number of deviation indicators.

[0087] It should be noted that the types of changes in the indicators include both stable and variable types.

[0088] In another embodiment, the method for determining the type of index change in the reference index data is as follows:

[0089] S21 Based on the index data of different dimensions of indicators under different preparation scales within the preparation scale range, determine the deviation between the index data of different dimensions of indicators under different preparation scales and the reference index data.

[0090] S22 uses the deviation of the index data of different dimensions of indicators under different preparation scales and the reference index data to determine the deviation of the indicators under different preparation scales, and uses the deviation of the indicators under different preparation scales to determine the index variation coefficient of different indicators.

[0091] S23 determines the comprehensive variation coefficient based on the variation coefficients of different indicators, and uses the comprehensive variation coefficient to determine the type of indicator variation of the reference indicator data.

[0092] It should be noted that the comprehensive variation coefficient is the average of the variation coefficients of different indicators.

[0093] Optionally, step S21 above includes the following:

[0094] S211 Based on the index data of different dimensions of indicators under different preparation scales within the preparation scale range, determine the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data. When the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data is within a preset deviation range, the index change type of the reference index data is determined to be stable. When the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data is not uniformly within the preset deviation range, proceed to step S212.

[0095] S212 determines the index deviation coefficient under different preparation scales by the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data. When the index deviation coefficients under different preparation scales all meet the requirements, the index change type of the reference index data is determined to be stable. When the index deviation coefficient under any preparation scale does not meet the requirements, proceed to S213.

[0096] S213 When the number of preparation scales whose index deviation coefficients do not meet the requirements is greater than the preset preparation scale number, the index change type of the reference index data is determined to be a change type. When the number of preparation scales whose index deviation coefficients do not meet the requirements is not greater than the preset preparation scale number, proceed to step S22.

[0097] Optionally, step S22 above includes the following:

[0098] S221 uses the deviation of the index data of different dimensions of indicators under different preparation scales and the reference index data to determine the deviation of the indicators under different preparation scales, and uses the deviation of the indicators under different preparation scales to determine the average value of the deviation under different preparation scales.

[0099] S222 When the average deviation of different indicators under different preparation scales is less than the preset deviation threshold, the indicator change type of the reference indicator data is determined to be stable. When there are indicators whose average deviation under different preparation scales is not less than the preset deviation threshold, proceed to step S223.

[0100] S223 uses the index that the average value of the deviation under different preparation scales is not less than the preset deviation threshold as the deviation index. When the number of the deviation indexes does not meet the requirements, the index change type of the reference index data is determined to be the change type. When the number of the deviation indexes meets the requirements, proceed to step S224.

[0101] S224 uses the deviation of the index under different preparation scales to determine the index variation coefficient of different indexes. If there is an index whose index variation coefficient does not meet the requirements, then proceed to step S225. If there is no index whose index variation coefficient does not meet the requirements, then proceed to step S23.

[0102] S225 When the number of indicators whose indicator variation coefficient does not meet the requirements is greater than the preset number of indicators, the indicator variation type of the reference indicator data is determined to be a variation type. When the number of indicators whose indicator variation coefficient does not meet the requirements is not greater than the preset number of indicators, proceed to step S23.

[0103] S3 determines the available preparation scale ranges for different preparation methods based on the deviation between the reference index data and the index requirement ranges for the application of interest under different preparation scale ranges. Based on the distribution data of the available preparation scale ranges for different preparation methods and the index variation type, the recommended preparation method among the preparation methods is determined.

[0104] Furthermore, the available preparation scale range refers to the preparation scale range in which all reference index data are within the index requirement range of the application of interest.

[0105] Specifically, such as Figure 4 As shown, the method for determining the recommended preparation method in the preparation method is as follows:

[0106] Based on the distribution data of the available preparation scale range of the preparation method, the number of available preparation scale ranges is determined, and the distribution dispersion coefficient of the preparation method is determined based on the interval between different available preparation scale ranges;

[0107] The index variation coefficient of the preparation method is determined by the index variation type of different available preparation scale ranges and the number of available preparation scale ranges;

[0108] The matching coefficient of the preparation method is determined based on the average value of the coefficient of variation of the index and the coefficient of dispersion of the distribution, and the matching coefficient is used to determine whether the preparation method is a recommended preparation method.

[0109] Furthermore, the recommended preparation method is the one with the highest matching coefficient.

[0110] It should be further noted that the method for determining the recommended preparation method in the aforementioned preparation method is as follows:

[0111] Based on the distribution data of the available preparation scale range of the preparation method, the number of available preparation scale ranges is determined. When the deviation between the number of available preparation scale ranges in the preparation method and the number of available preparation scale ranges in other preparation methods is greater than a preset deviation threshold, the preparation method is determined not to be a recommended preparation method.

[0112] When the deviation between the number of available preparation scale intervals in the preparation method and the number of available preparation scale intervals in other preparation methods is not greater than a preset deviation threshold:

[0113] The index variation coefficient of the preparation method is determined by the index variation type of different available preparation scale ranges and the number of available preparation scale ranges. When the index variation coefficient of the preparation method deviates from the index variation coefficient of other preparation methods by more than a preset coefficient deviation threshold, the preparation method is determined not to be a recommended preparation method.

[0114] When the deviation of the coefficient of variation of the indicators of the preparation method from that of other preparation methods is not greater than a preset coefficient deviation threshold:

[0115] The distribution dispersion coefficient of the preparation method is determined based on the interval between different available preparation scale ranges. When the distribution dispersion coefficient of the preparation method deviates from the distribution dispersion coefficient of other preparation methods by more than a preset coefficient deviation threshold, the preparation method is determined not to be a recommended preparation method.

[0116] When the deviation of the distribution dispersion coefficient of the preparation method from the distribution dispersion coefficient of other preparation methods is not greater than a preset coefficient deviation threshold:

[0117] The matching coefficient of the preparation method is determined based on the average value of the coefficient of variation of the index and the coefficient of dispersion of the distribution, and the matching coefficient is used to determine whether the preparation method is a recommended preparation method.

[0118] S4 acquires reference index data for the available preparation scale range and adjacent preparation scale ranges in the recommended preparation method, and determines the recommended preparation scale range of the recommended preparation method by combining the matching results of preparation scale and shipment data in the available preparation scale range.

[0119] Furthermore, the matching result between the preparation scale and the shipment data is determined based on the deviation between the preparation quantity and the total shipment quantity within the preset time period corresponding to the preparation scale.

[0120] Optionally, such as Figure 5 As shown, the method for determining the recommended preparation scale range of the recommended preparation method is as follows:

[0121] The fit coefficient of the available preparation scale range is determined by the deviation between the reference index data of the available preparation scale range and the index requirement range of the application of interest.

[0122] Based on the deviation between the reference index data of the adjacent preparation scale ranges of the available preparation scale range and the index requirement range of the application of interest, the switching adaptation coefficient of the available preparation scale range is determined.

[0123] Based on the matching results between the production scale and shipment data of the available production scale range, the deviation of the production quantity and total shipment in different preset time periods is determined, and the shipment quantity adaptation coefficient of the available production scale range is determined by using the deviation of the production quantity and total shipment in different preset time periods.

[0124] The comprehensive adaptation coefficient is determined by using the shipment volume adaptation coefficient, the switching adaptation coefficient, and the sum of the adaptation coefficients, and the recommended preparation scale range of the recommended preparation method is determined based on the comprehensive adaptation coefficient.

[0125] It should be noted that the recommended preparation scale range for the recommended preparation method is determined based on the comprehensive fit coefficient, specifically including:

[0126] The preparation scale range with the largest comprehensive fit coefficient is taken as the recommended preparation scale range of the recommended preparation method.

[0127] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0128] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0129] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for preparing a PVDC film, characterized in that, Specifically, it includes: The shipment data of PVDC film in different application scenarios is determined by the shipment data of PVDC film, and based on the shipment data of different application scenarios, the application scenarios of interest in the application scenarios are determined. Based on the distribution of index data under different preparation methods in different preparation scale ranges, reference index data and the index variation type of the reference index data are determined under different preparation scale ranges. Based on the deviation between reference index data and index requirement ranges for the application of interest in different preparation scale ranges, the usable preparation scale ranges of different preparation methods are determined. Based on the distribution data of usable preparation scale ranges of different preparation methods and the type of index variation, the recommended preparation method among the preparation methods is determined. Obtain reference index data for the available preparation scale range and adjacent preparation scale ranges in the recommended preparation method, and combine the matching results of preparation scale and shipment data in the available preparation scale range to determine the recommended preparation scale range of the recommended preparation method.

2. The PVDC film preparation method according to claim 1, characterized in that, The applications include meat packaging, fruit packaging, vegetable packaging, pharmaceutical packaging, and daily chemical product packaging.

3. The PVDC film preparation method according to claim 1, characterized in that, The method for determining the application scenarios of interest in the aforementioned application scenarios is as follows: Based on the shipment data in the aforementioned application scenarios, determine the historical shipment count for each application scenario; Based on the shipment volume of different historical shipments, the number of historical shipments with a shipment volume greater than the preset shipment volume is determined and used as the screening shipment volume. The number of shipments selected determines whether the application scenario is of interest.

4. The PVDC film preparation method according to claim 3, characterized in that, When the number of shipments selected for the application scenario exceeds a preset threshold, the application scenario is determined to be an application scenario of interest.

5. The method for preparing a PVDC film as described in claim 1, characterized in that, The distribution of indicator data within the preparation scale range includes indicator data of different dimensions at different preparation scales within the preparation scale range.

6. The method for preparing a PVDC film as described in claim 1, characterized in that, The indicators include oxygen barrier, moisture barrier, odor barrier, heat seal strength, heat resistance, tensile strength, tear strength, and puncture strength.

7. The method for preparing a PVDC film as described in claim 1, characterized in that, The method for determining the reference index data within the preparation scale range is as follows: Reference index data for different dimensions of indicators are determined based on the average value of the index data for different preparation scales within the stated preparation scale range.

8. The method for preparing a PVDC film as described in claim 1, characterized in that, The method for determining the type of indicator change in the reference indicator data is as follows: Based on the index data of different dimensions of indicators under different preparation scales within the preparation scale range, the deviation of the index data of different dimensions of indicators under different preparation scales from the reference index data is determined. By comparing the deviations of the index data of different dimensions under different preparation scales with the reference index data, the average deviation of the index data of different dimensions under different preparation scales is determined, and the average deviation is used to determine the preparation scale of the deviation. The type of index change in the reference index data is determined based on the number of deviation preparation scales.

9. The method for preparing a PVDC film as described in claim 8, characterized in that, The deviation preparation scale refers to the preparation scale where the average value of the deviation does not meet the requirements.

10. The method for preparing a PVDC film as described in claim 8, characterized in that, The type of index change in the reference index data is determined based on the quantity of the deviation preparation scale, specifically including: The index variation type of the reference index data is determined based on the preset variation type corresponding to the quantity of the deviation preparation scale.

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