Preparation method of PVDC film

Abstract

The invention provides a PVDC film preparation method, and belongs to the technical field of composition preparation management, and the method specifically comprises the following steps: determining available preparation scale intervals of different preparation methods on the basis of a deviation condition between reference index data in different preparation scale intervals and an index requirement interval of a concerned application occasion; based on the distribution data and the index change types of the available preparation scale intervals of different preparation methods, determining a recommended preparation method in the preparation methods, and obtaining reference index data of the available preparation scale intervals and the adjacent preparation scale intervals in the recommended preparation method; and in combination with the matching result of the preparation scale in the available preparation scale interval and the shipment data, the recommended preparation scale interval of the recommended preparation method is determined, so that the reliability of preparation processing is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of composition preparation and management, and in particular relates to a PVDC film preparation method. Background Art

[0002] PVDC (chemical name: polyvinylidene chloride) is a packaging material with the best comprehensive barrier properties among plastic packaging in the world today. It is different from polyvinyl alcohol, which has a sharp drop in gas barrier properties as moisture absorption increases, and nylon film, which has poor moisture barrier properties due to water absorption. Instead, it is a high barrier material with excellent moisture and gas barrier properties.

[0003] In order to realize the preparation and processing of PVDC film, the existing technical solution in the invention patent application CN202410452861.7 "A heat-resistant and easy-tear PVDC film and its preparation method" uses 70-90 parts of vinylidene chloride, 10-15 parts of vinyl chloride, and 2-5 parts of vinyl compounds with nitrogen-containing heterocyclic rings to make the PVDC film have good thermal stability and is not easy to degrade under heat conditions. However, through analysis, there are the following technical problems:

[0004] In the process of preparing the PVDC film, the prior art scheme ignores the determination of the preparation method of the PVDC film based on the demand for the PVDC film, thereby dynamically adjusting the preparation method of the PVDC film to meet the demand for the PVDC film.

[0005] In response to the above technical problems, the present application specifically provides a method for preparing a PVDC film. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[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 shipping data of the PVDC film in different application scenarios through the shipping data of the PVDC film, and determines the application scenarios of interest among the application scenarios based on the shipping data of the different application scenarios;

[0010] S2 determining reference index data in different preparation scale intervals and index change types of the reference index data based on the distribution of index data of different preparation methods in different preparation scale intervals;

[0011] S3: determining available preparation scale intervals for different preparation methods based on the deviation between the reference index data at different preparation scale intervals and the index requirement intervals of the application occasions of interest, and determining a recommended preparation method among the preparation methods based on the distribution data of the available preparation scale intervals for different preparation methods and the index variation types;

[0012] S4 obtains reference indicator data of the available preparation scale interval and the adjacent preparation scale interval in the recommended preparation method, and determines the recommended preparation scale interval of the recommended preparation method in combination with the matching results of the preparation scale and the shipment data in the available preparation scale interval.

[0013] The beneficial effects of the present invention are:

[0014] Based on the distribution data of the available preparation scale intervals and the types of indicator changes of different preparation methods, the recommended preparation method among the preparation methods is determined, taking into account both the distribution quantity and distribution discreteness of the available preparation scale intervals in different preparation methods, and the changes in indicators of different available preparation scale intervals, thereby achieving the determination of recommended preparation methods from multiple angles and ensuring the adaptability of the preparation processing method to shipment requirements.

[0015] The recommended preparation scale interval of the recommended preparation method is determined based on the available preparation scale interval and the reference indicator data of the adjacent preparation scale interval in the recommended preparation method, and the matching results of the preparation scale in the available preparation scale interval and the shipment data, which not only takes into account the adaptation of the preparation scale in the available preparation scale interval and the shipment demand, but also meets the requirements of the shipment demand, while further combining the deviation between the reference indicator data and the indicator requirement interval, fully taking into account the adaptation of the reference indicator data of the available preparation scale interval and the adaptation of the reference indicator data of the adjacent preparation scale interval, thereby 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, medicine packaging, cosmetic packaging, and daily chemical product packaging.

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

[0018] Determine the historical number of shipments for the application scenario based on the shipment data in the application scenario;

[0019] Based on the shipment quantities of different historical shipment times, determine the historical shipment times whose shipment quantities are greater than the preset shipment quantity, and use them as the screening shipment times;

[0020] Whether the application scenario is a concerned application scenario is determined by screening the number of shipments.

[0021] A further technical solution is that when the number of screening shipments of the application scenario is greater than a preset number threshold, the application scenario is determined to be a concerned application scenario.

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

[0023] Determine the adaptation coefficient of the available preparation scale interval based on the deviation between the reference indicator data of the available preparation scale interval and the indicator requirement interval of the application occasion of interest;

[0024] Determining a switching adaptation coefficient of the available preparation scale interval according to a deviation between reference index data of a preparation scale interval adjacent to the available preparation scale interval and an index requirement interval of the application of interest;

[0025] Based on the matching results of the preparation scale and the shipment data in the available preparation scale interval, the deviation of the preparation quantity and the total shipment volume in different preset time periods is determined, and the shipment volume adaptation coefficient of the available preparation scale interval is determined by using the deviation of the preparation quantity and the total shipment volume in different preset time periods;

[0026] The shipment volume adaptation coefficient, the switching adaptation coefficient and the sum of the adaptation coefficients are used to determine a comprehensive adaptation coefficient, and the recommended preparation scale range of the recommended preparation method is determined based on the comprehensive adaptation coefficient.

[0027] A further technical solution is to determine the recommended preparation scale range of the recommended preparation method according to the comprehensive adaptation coefficient, specifically including:

[0028] The preparation scale interval with the largest comprehensive adaptation coefficient is used as the recommended preparation scale interval for the recommended preparation method.

[0029] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0030] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0032] Figure 1is a flow chart of a method for preparing a PVDC membrane;

[0033] Figure 2 is a flow chart of a method for determining a focus application scenario in an application scenario;

[0034] Figure 3 is a flow chart of a method for determining an indicator change type of reference indicator data;

[0035] Figure 4 is a flow chart of a method for determining a recommended preparation method in the preparation method;

[0036] Figure 5 The present invention is a flow chart of a method for determining a recommended preparation scale range of a recommended preparation method. DETAILED DESCRIPTION

[0037] In order 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 in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0038] In the present application, firstly, a targeted preparation method and a preparation scale are determined by utilizing the application scenarios of the PVDC membrane, so that the preparation and processing results can meet the requirements of the application scenarios.

[0039] The application scenarios of focus are those with a shipment volume share greater than 0.2.

[0040] According to the average values ​​of the indicator data of indicators of different dimensions at different preparation scales within the preparation scale range, the reference indicator data of the indicators of different dimensions are determined. When the proportion of the number of preparation scales whose deviation from the reference indicator data does not meet the requirements within the preparation scale range is greater than 0.6, the indicator change type of the reference indicator data is determined to be a changing 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 intervals, the index variation coefficient of the preparation method is determined according to the preset variation coefficient corresponding to the number of available preparation scale intervals, the matching coefficient of the preparation method is determined based on the average value of the index variation coefficient and the distribution dispersion coefficient, and the preparation method with the largest matching coefficient is used as the recommended preparation method

[0042] Example 1

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

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

[0045] Furthermore, the application occasions include meat packaging, fish packaging, fruit packaging, vegetable packaging, medicine packaging, cosmetic packaging, and daily chemical product packaging.

[0046] Specifically, Figure 2 As shown, the method for determining the application scenario of interest in the application scenario is:

[0047] Determine the historical number of shipments for the application scenario based on the shipment data in the application scenario;

[0048] Based on the shipment quantities of different historical shipment times, determine the historical shipment times whose shipment quantities are greater than the preset shipment quantity, and use them as the screening shipment times;

[0049] Whether the application scenario is a concerned application scenario is determined by screening the number of shipments.

[0050] Further, when the number of screening shipments of the application scenario is greater than a preset number threshold, the application scenario is determined to be a focus application scenario.

[0051] Optionally, a method for determining the application scenario of interest in the application scenario is:

[0052] Determine the historical number of shipments for the application scenario based on the shipment data in the application scenario;

[0053] Determine the total shipment volume within different preset time periods based on the shipment volume of different historical shipment times;

[0054] Whether the application scenario is a concerned application scenario is determined by the average value of the total shipment volume in different preset time periods.

[0055] Optionally, a method for determining the application scenario of interest in the application scenario is:

[0056] Based on the shipment data in the application scenario, determine the historical shipment times of the application scenario, and when the historical shipment times of the application scenario is less than a preset shipment times threshold, determine that the application scenario does not belong to the application scenario of interest;

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

[0058] Based on the shipment volumes of different historical shipment times, determining the total shipment volume of different historical shipment times, when the total shipment volume is greater than a preset shipment volume threshold, determining that the application scenario belongs to the application scenario of interest;

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

[0060] Based on the shipment volumes of different historical shipment times, determine the historical shipment times whose shipment volumes are greater than the preset shipment volumes, and use them as the screening shipment times; when the screening shipment times are greater than the preset screening times threshold, determine that the application scenario belongs to the application scenario of interest;

[0061] When the number of shipments screened is not greater than the preset screening number threshold:

[0062] Based on the shipment volumes of different historical shipment times, the total shipment volume in different preset time periods is determined, and when the total shipment volume in 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 where the total shipment volume is not within the preset shipment volume range:

[0064] The preset time period in which the total shipment amount is not within the preset shipment amount interval is used as the screening time period, and when the number of the screening time periods is greater than the preset number of periods, it is determined that the application scenario belongs to the application scenario of interest;

[0065] When the number of the screening time periods is not greater than the preset number of periods,

[0066] Determine the shipment frequency coefficients of different preset time periods based on the historical shipment times and shipment volumes of different historical shipment times; when the number of preset time periods in which the shipment frequency coefficient is greater than the preset frequency coefficient threshold is greater than the preset number of periods, determine that the application scenario belongs to the application scenario of interest;

[0067] When the number of preset time periods during which the shipment frequency coefficient is greater than the preset frequency coefficient threshold is not greater than the preset number of periods:

[0068] The comprehensive frequency coefficient is determined by the shipment frequency coefficients of different preset time periods, and the comprehensive frequency coefficient is used to determine whether the application scenario is a concerned application scenario.

[0069] Further, when the comprehensive frequency coefficient is greater than a preset frequency threshold, the application scenario is determined to be a focus application scenario.

[0070] S2 determining reference index data in different preparation scale intervals and index change types of the reference index data based on the distribution of index data of different preparation methods in different preparation scale intervals;

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

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

[0073] It is understandable 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 under the preparation scale interval is:

[0075] Reference indicator data of indicators of different dimensions are determined according to the average values ​​of indicator data of indicators of different dimensions at different preparation scales within the preparation scale range.

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

[0077] Based on the index data of the indexes of different dimensions at different preparation scales within the preparation scale interval, determining the deviation between the index data of the indexes of different dimensions at different preparation scales and the reference index data;

[0078] Determine the average value of the deviation of the indicators in different dimensions under different preparation scales based on the deviation of the indicator data of the indicators in different dimensions under different preparation scales from the reference indicator data, and use the average value of the deviation to determine the deviation preparation scale in the preparation scale;

[0079] An indicator change type of the reference indicator data is determined based on the amount of the deviation preparation scale.

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

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

[0082] The indicator change type of the reference indicator data is determined according to the preset change type corresponding to the quantity of the deviation preparation scale.

[0083] In another embodiment, the method for determining the indicator change type of the reference indicator data is:

[0084] Based on the index data of the indexes of different dimensions at different preparation scales within the preparation scale interval, determining the deviation between the index data of the indexes of different dimensions at different preparation scales and the reference index data;

[0085] Determine the deviation of the index in different dimensions under different preparation scales by using the deviation of the index data of the index in different dimensions under different preparation scales and the reference index data, and determine the deviation index in the index by using the deviation of the index under different preparation scales;

[0086] An indicator change type of the reference indicator data is determined based on the amount of the deviation indicator.

[0087] It should be noted that the indicator change type includes a stable type and a change type.

[0088] In another embodiment, the method for determining the indicator change type of the reference indicator data is:

[0089] S21, based on the index data of the indexes of different dimensions at different preparation scales within the preparation scale interval, determining the deviation between the index data of the indexes of different dimensions at different preparation scales and the reference index data;

[0090] S22, using the deviations of the index data of the indexes of different dimensions under different preparation scales and the reference index data, determining the deviations of the indexes of different dimensions under different preparation scales, and determining the index variation coefficients of the different indexes using the deviations of the indexes under different preparation scales;

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

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

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

[0094] S211 determines the deviation between the index data of the indexes of different dimensions under different preparation scales under the preparation scale interval and the reference index data based on the index data of the indexes of different dimensions under different preparation scales. When the deviation between the index data of the indexes of different dimensions under different preparation scales and the reference index data is within the preset deviation interval, the index change type of the reference index data is determined to be a stable type. When the deviation between the index data of the indexes of different dimensions under different preparation scales and the reference index data is not within the preset deviation interval, the process proceeds to step S212.

[0095] S212 determines the index deviation coefficients under different preparation scales based on the deviations between the index data of the indexes of different dimensions under different preparation scales and 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 a stable type. 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 coefficient does 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 coefficient does not meet the requirements is not greater than the preset preparation scale number, proceed to step S22.

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

[0098] S221: using the deviations of the index data of the indexes of different dimensions under different preparation scales and the reference index data, determining the deviations of the indexes of different dimensions under different preparation scales, and using the deviations of the indexes under different preparation scales, determining the average values ​​of the deviations under different preparation scales;

[0099] S222: When the average values ​​of the deviations of different indicators at different preparation scales are all less than the preset deviation threshold, the indicator change type of the reference indicator data is determined to be a stable type; when there is an indicator whose average value of the deviations at different preparation scales is not less than the preset deviation threshold, the process proceeds to step S223;

[0100] S223: 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 index does not meet the requirement, the index change type of the reference index data is determined to be the change type. When the number of the deviation index meets the requirement, the process proceeds to step S224.

[0101] S224: Determine the index variation coefficient of different indexes by using the deviation of the index under different preparation scales. If there is an index whose index variation coefficient does not meet the requirement, proceed to step S225. If there is no index whose index variation coefficient does not meet the requirement, proceed to step S23.

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

[0103] S3: determining available preparation scale intervals for different preparation methods based on the deviation between the reference index data at different preparation scale intervals and the index requirement intervals of the application scenarios of interest, and determining a recommended preparation method among the preparation methods based on the distribution data of the available preparation scale intervals for different preparation methods and the index variation types;

[0104] Furthermore, the available preparation scale range is a preparation scale range in which all reference indicator data are within the indicator requirement range of the application scenario of interest.

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

[0106] Determining the number of available preparation scale intervals based on the distribution data of the available preparation scale intervals of the preparation method, and determining the distribution dispersion coefficient of the preparation method based on the intervals between different available preparation scale intervals;

[0107] Determining the index variation coefficient of the preparation method according to the index variation types of different available preparation scale intervals and the number of available preparation scale intervals;

[0108] The matching coefficient of the preparation method is determined based on the average value of the index variation coefficient and the distribution dispersion coefficient, 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 preparation method with the largest matching coefficient.

[0110] It should be further explained that the method for determining the recommended preparation method in the preparation method is:

[0111] Determining the number of available preparation scale intervals based on the distribution data of the available preparation scale intervals of the preparation method, and determining that the preparation method does not belong to the recommended preparation method 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 greater than a preset deviation threshold;

[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] Determine the index variation coefficient of the preparation method according to the index variation types of different available preparation scale intervals and the number of available preparation scale intervals; when the deviation between the index variation coefficient of the preparation method and the index variation coefficient of other preparation methods is greater than a preset coefficient deviation threshold, determine that the preparation method does not belong to the recommended preparation method;

[0114] When the deviation between the index variation coefficient of the preparation method and the index variation coefficient of other preparation methods is not greater than the preset coefficient deviation threshold:

[0115] Determine the distribution dispersion coefficient of the preparation method based on the intervals between different available preparation scale intervals, and when the deviation between the distribution dispersion coefficient of the preparation method and the distribution dispersion coefficient of other preparation methods is greater than a preset coefficient deviation threshold: determine that the preparation method does not belong to the recommended preparation method;

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

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

[0118] S4 obtains reference indicator data of the available preparation scale interval and the adjacent preparation scale interval in the recommended preparation method, and determines the recommended preparation scale interval of the recommended preparation method in combination with the matching results of the preparation scale and the shipment data in the available preparation scale interval.

[0119] Furthermore, the matching result of the preparation scale and the shipment data is determined according to the deviation between the preparation quantity and the total shipment quantity in a preset time period corresponding to the preparation scale.

[0120] Optionally, if Figure 5 As shown, the method for determining the recommended preparation scale interval of the recommended preparation method is:

[0121] Determine the adaptation coefficient of the available preparation scale interval based on the deviation between the reference indicator data of the available preparation scale interval and the indicator requirement interval of the application occasion of interest;

[0122] Determining a switching adaptation coefficient of the available preparation scale interval according to a deviation between reference index data of a preparation scale interval adjacent to the available preparation scale interval and an index requirement interval of the application of interest;

[0123] Based on the matching results of the preparation scale and the shipment data in the available preparation scale interval, the deviation of the preparation quantity and the total shipment volume in different preset time periods is determined, and the shipment volume adaptation coefficient of the available preparation scale interval is determined by using the deviation of the preparation quantity and the total shipment volume in different preset time periods;

[0124] The shipment volume adaptation coefficient, the switching adaptation coefficient and the sum of the adaptation coefficients are used to determine a comprehensive adaptation coefficient, 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 of the recommended preparation method is determined according to the comprehensive adaptation coefficient, specifically including:

[0126] The preparation scale interval with the largest comprehensive adaptation coefficient is used as the recommended preparation scale interval for the recommended preparation method.

[0127] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0128] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0129] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for preparing a PVDC film, characterized in that: Specifically include: Determining the shipment data of the PVDC film in different application scenarios through the shipment data of the PVDC film, and determining the application scenarios of interest among the application scenarios based on the shipment data of the different application scenarios; Determining reference index data and index change types of the reference index data in different preparation scale intervals based on the distribution of index data of different preparation methods in different preparation scale intervals; Determine the available preparation scale intervals of different preparation methods based on the deviation between the reference index data in different preparation scale intervals and the index requirement intervals of the application occasions of interest, and determine the recommended preparation method among the preparation methods based on the distribution data of the available preparation scale intervals of different preparation methods and the index variation types; Obtain reference indicator data of the available preparation scale interval and adjacent preparation scale intervals in the recommended preparation method, and determine the recommended preparation scale interval of the recommended preparation method in combination with the matching results of the preparation scale and shipment data in the available preparation scale interval.

2. The method for preparing a PVDC film according to claim 1, wherein: The application occasions include meat packaging, fish packaging, fruit packaging, vegetable packaging, medicine packaging, cosmetic packaging, and daily chemical product packaging.

3. The method for preparing a PVDC film according to claim 1, wherein: The method for determining the application scenarios of interest in the application scenarios is: Determine the historical number of shipments for the application scenario based on the shipment data in the application scenario; Based on the shipment quantities of different historical shipment times, determine the historical shipment times whose shipment quantities are greater than the preset shipment quantity, and use them as the screening shipment times; Whether the application scenario is a concerned application scenario is determined by screening the number of shipments.

4. The method for preparing a PVDC film according to claim 3, wherein: When the number of screening shipments of the application scenario is greater than a preset number threshold, the application scenario is determined to be a concerned application scenario.

5. The method for preparing a PVDC film according to claim 1, wherein: The distribution of the indicator data within the preparation scale interval includes indicator data of indicators of different dimensions at different preparation scales within the preparation scale interval.

6. The method for preparing a PVDC film according to claim 1, wherein: 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 according to claim 1, wherein: The method for determining the reference index data under the preparation scale interval is: Reference indicator data of indicators of different dimensions are determined according to the average values ​​of indicator data of indicators of different dimensions at different preparation scales within the preparation scale range.

8. The method for preparing a PVDC film according to claim 1, wherein: The method for determining the indicator change type of the reference indicator data is: Based on the index data of the indexes of different dimensions at different preparation scales within the preparation scale interval, determining the deviation between the index data of the indexes of different dimensions at different preparation scales and the reference index data; Determine the average value of the deviation of the indicators in different dimensions under different preparation scales based on the deviation of the indicator data of the indicators in different dimensions under different preparation scales from the reference indicator data, and determine the deviation preparation scale in the preparation scale using the average value of the deviation; An indicator change type of the reference indicator data is determined based on the amount of the deviation preparation scale.

9. The method for preparing a PVDC film according to claim 8, wherein: The deviation preparation scale is a preparation scale in which the average value of the deviation amount does not meet the requirements.

10. The method for preparing a PVDC film according to claim 8, wherein: Determining the indicator change type of the reference indicator data based on the number of the deviation preparation scales specifically includes: The indicator change type of the reference indicator data is determined according to the preset change type corresponding to the quantity of the deviation preparation scale.

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