Batching method and device for batch composed of multiple raw materials

Abstract

The invention discloses a batching method, device and equipment for a batch composed of multiple raw materials and a storage medium. The batching method of the batch composed of the multiple raw materials comprises the steps that the actual mass of each raw material in the multiple batch is obtained; calculating the difference value between the preset standard quality of any raw material and the actual quality; the normal distribution of the difference values is analyzed, and the central axis of the normal distribution of the difference values of any raw material is obtained; and when the distance of the central axis deviating from the vertical coordinate axis is larger than a preset adjustment threshold value, the batching mode of any raw material is adjusted. According to the technical scheme, the situation that the single deviation is within the preset error range, but the accumulated deviation is large can be avoided, the batching error is further reduced through the method of the normal distribution central axis, the normal distribution central axis of the mass of any raw material tends to be close to the longitudinal coordinate axis, and the quality of the raw material is improved. Therefore, the stability of the batch composed of multiple raw materials is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent applications, and in particular to a batching method, device, equipment and storage medium for a batch consisting of multiple raw materials. Background Art

[0002] In the process of preparing batch materials, if the actual weighing data does not exceed the set value range, the system will not alarm regardless of the size of the data deviation and the continuous positive or negative deviation. In this case, it is impossible to adjust the deviation in time and reduce the deviation range, resulting in the inability to guarantee the accuracy of the weighing data. If this continues for a long time, it may cause excessive consumption of some raw materials or unexpected surplus of some raw materials and waste. How to properly solve the above problems has become an urgent issue in the industry. Summary of the invention

[0003] The present invention provides a batching method, device, equipment and storage medium for a batch composed of multiple raw materials, which are used to make the central axis of the normal distribution of the mass of any of the raw materials approach the vertical coordinate axis, thereby enhancing the stability of the batch composed of multiple raw materials.

[0004] According to a first aspect of the present invention, a method for preparing a batch composed of multiple raw materials is provided, the method comprising:

[0005] Obtain the actual mass of each raw material in multiple batches;

[0006] Calculating the difference between the preset standard mass and the actual mass of any of the raw materials;

[0007] Analyze the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material;

[0008] When the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, the batching method of any raw material is adjusted so that the central axis of the normal distribution of the mass of any raw material approaches the ordinate axis.

[0009] In one embodiment, obtaining the mass of each raw material in the plurality of prepared batches includes:

[0010] Before using each raw material to prepare the batch material, weigh and record the mass of each raw material in the batch material.

[0011] In one embodiment, the calculating the difference between the preset standard mass and the actual mass of any of the raw materials comprises:

[0012] The difference is calculated based on the recorded mass of each raw material in the batch and the preset standard mass of each raw material, and the sum and average of multiple consecutive differences are calculated.

[0013] In one embodiment, analyzing the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material includes:

[0014] Fitting a normal distribution of the difference values ​​according to multiple consecutive difference values ​​of any raw material;

[0015] According to the normal distribution of the difference, a central axis of the normal distribution is obtained.

[0016] In one embodiment, when the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, adjusting the batching method of any raw material includes:

[0017] Calculating the deviation distance between the central axis and the longitudinal axis;

[0018] Calculating whether the deviation distance is greater than a preset adjustment threshold;

[0019] When the deviation distance is greater than the preset adjustment threshold, the batching method of any raw material is adjusted.

[0020] In one embodiment, it further includes:

[0021] After adjusting the batching method of any of the raw materials, the existing normal distribution of the difference of the raw materials is cleared;

[0022] According to the newly statistical differences, the normal distribution of the differences of any of the raw materials is regenerated.

[0023] According to a second aspect of the present invention, there is provided a batching device for a batch material composed of multiple raw materials, comprising:

[0024] An acquisition module, used to acquire the actual mass of each raw material in a plurality of batches;

[0025] A calculation module, used for calculating the difference between the preset standard mass and the actual mass of any of the raw materials;

[0026] An analysis module, used for analyzing the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material;

[0027] The adjustment module is used to adjust the batching method of any raw material when the distance that the central axis deviates from the vertical axis is greater than a preset adjustment threshold, so that the central axis of the normal distribution of the mass of any raw material approaches the vertical axis.

[0028] The acquisition module, the calculation module, the analysis module and the adjustment module are controlled to implement any one of the above-mentioned batching methods of a batch consisting of multiple raw materials.

[0029] According to a third aspect of the present invention, there is provided an electronic device, the electronic device comprising: a processor and a memory storing computer program instructions;

[0030] When the processor executes the computer program instructions, it implements any of the above-mentioned batching methods for a batch consisting of multiple raw materials.

[0031] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium, characterized in that computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, any of the above-mentioned methods for preparing a batch consisting of multiple raw materials is implemented.

[0032] In summary, the present invention provides a batching method and device for a batch composed of multiple raw materials, the method comprising obtaining the actual mass of each raw material in a plurality of batches; calculating the difference between the preset standard mass and the actual mass of any of the raw materials; analyzing the normal distribution of the difference to obtain the central axis of the normal distribution of the difference of any raw material; when the distance of the central axis from the ordinate axis is greater than a preset adjustment threshold, adjusting the batching method of any of the raw materials so that the central axis of the normal distribution of the mass of any of the raw materials approaches the ordinate axis. The technical solution of the present application can avoid the situation where the single deviation is within the preset error range, but the cumulative deviation is large, and further reduces the batching error through the method of the central axis of the normal distribution, so that the central axis of the normal distribution of the mass of any of the raw materials approaches the ordinate axis, thereby enhancing the stability of the batch composed of multiple raw materials.

[0033] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0034] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flow chart of a method for preparing a batch composed of multiple raw materials provided in an embodiment of the present invention;

[0037] Figure 2 A flowchart of step S11 of a batching method of a batch composed of multiple raw materials provided in an embodiment of the present invention;

[0038] Figure 3 A flowchart of step S12 of a batching method of a batch material composed of multiple raw materials provided in an embodiment of the present invention;

[0039] Figure 4 A flowchart of step S13 of a batching method of a batch composed of multiple raw materials provided in an embodiment of the present invention;

[0040] Figure 5 A flowchart of step S14 of a batching method of a batch material composed of multiple raw materials provided in an embodiment of the present invention;

[0041] Figure 6 A flow chart of another method for preparing a batch composed of multiple raw materials provided in an embodiment of the present invention;

[0042] Figure 7 A structural diagram of a batching device for a batch material composed of multiple raw materials provided in an embodiment of the present invention;

[0043] Figure 8 A structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0045] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0046] like Figure 1 As shown, the present invention provides a batching method for a batch material composed of multiple raw materials, and the batching method for a batch material composed of multiple raw materials includes:

[0047] In step S11, the actual mass of each raw material in a plurality of batches is obtained;

[0048] In step S12, the difference between the preset standard mass and the actual mass of any of the raw materials is calculated;

[0049] In step S13, the normal distribution of the difference is analyzed to obtain the center axis of the normal distribution of the difference of any raw material;

[0050] In step S14, when the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, the batching method of any raw material is adjusted so that the central axis of the normal distribution of the mass of any raw material approaches the ordinate axis;

[0051] In one embodiment, an alarm will be sounded after the weighing value exceeds the allowable range, but this does not guarantee the accuracy of the data. Even if the deviation is within the allowable range, if there is a continuous positive or negative deviation, a systematic error will occur. Adjust the batching process to ensure that the mass distribution of the raw materials meets the preset standards and obtain the actual mass of each raw material in multiple batches. It is necessary to measure and record the actual mass of each raw material used in preparing multiple batches. To ensure the basic step of raw material quality control, it is necessary to accurately measure the actual usage of each raw material. Calculate the difference between the preset standard mass and the actual mass of the raw material, compare the actual usage mass of each raw material with its preset standard mass, and calculate the difference between them to identify the deviation between the actual usage and the expected target. Analyze the normal distribution of the difference, obtain the central axis of the normal distribution, and perform normal distribution analysis on all the obtained differences through statistical analysis. Normal distribution is a common probability distribution used to describe many phenomena in the fields of natural and social sciences. The purpose of the analysis is to find the central axis of the difference distribution, that is, the location of the mean, which represents the average deviation direction and degree of all measured values. When the distance of the central axis from the ordinate axis is greater than the preset threshold, the batching method is adjusted, and the distance between the central axis and the ordinate axis indicates the size of the average deviation. If this deviation exceeds the preset threshold, it means that there is a systematic deviation between the actual quality of the raw materials used and the preset standard. In this case, it is necessary to adjust the batching method, that is, adjust the amount of raw materials added to reduce the deviation so that the central axis of the future raw material quality distribution is closer to the ordinate axis, that is, reduce the system deviation, and make the actual quality closer to the preset standard quality. The proportion and use process of raw materials can be effectively monitored and adjusted to ensure that the quality of the final product is stable and meets the standard requirements, which helps to improve the consistency and reliability of the product and reduce the scrap rate.

[0052] The technical solution in this embodiment can avoid the situation where single deviations are within the preset error range, but the cumulative deviations are large. The error of the ingredients is further reduced by the method of the central axis of the normal distribution, so that the central axis of the normal distribution of the mass of any raw material approaches the vertical coordinate axis, thereby enhancing the stability of the batch composed of multiple raw materials.

[0053] In one embodiment, Figure 2 As shown, step S11 includes the following step S21:

[0054] In step S21, before using each raw material to prepare the batch material, the mass of each raw material in the batch material is weighed and recorded.

[0055] In one embodiment, before mixing multiple raw materials to form a batch, the mass of each raw material is weighed and recorded. By accurately weighing each raw material, it is possible to ensure accurate proportioning according to the requirements of the formula, which is the basis for controlling product quality and performance. Recording the actual mass of each raw material in each batch of batches helps with subsequent quality tracking and analysis. If there is a problem with the final product, these records can be traced back to possible causes, such as an inaccurate proportion of a raw material. By continuously recording and analyzing the use of raw materials, potential problems and improvement points in the production process can be discovered. For example, if a raw material frequently exceeds or falls below the preset quality, it may be necessary to adjust the supply chain management or the accuracy of the batching equipment. Accurate raw material management helps avoid waste and reduce overuse.

[0056] In one embodiment, Figure 3 As shown, step S12 includes the following step S31:

[0057] In step S31, a difference is calculated based on the recorded mass of each raw material in the batch and the preset standard mass of each raw material, and the sum and average of multiple consecutive differences are calculated.

[0058] In one embodiment, before starting to prepare the batch, the actual mass of each raw material used must first be weighed and the data must be recorded. This step is the basis for ensuring data accuracy and the feasibility of subsequent analysis. The actual mass of each raw material is compared with its preset standard mass, and the difference between them is calculated, where the difference represents the deviation between the actual mass and the expected mass. Over a period of time or after multiple batching processes, these differences are accumulated to obtain a total, and then the average difference is calculated. In analyzing the overall quality control effect, the consistency and accuracy of the quality control of raw materials throughout the production or preparation process are reflected by the total and average values. By calculating the difference, the specific deviation between the actual and expected when the raw materials are used each time can be specifically understood, which provides a basis for further quality control. By calculating the cumulative and average difference, the overall stability and accuracy of the use of raw materials in a long period of time or in multiple operations can be evaluated. This helps to identify whether there are systemic problems, such as always using too much or too little raw materials. Based on these analysis results, corresponding measures can be taken to adjust the use strategy or proportioning standard of the raw materials to be closer to the preset quality standard and improve the quality consistency of the product.

[0059] In one embodiment, Figure 4 As shown, step S13 includes the following steps S41-S42:

[0060] In step S41, a normal distribution of the difference is fitted according to a plurality of consecutive difference values ​​of any raw material;

[0061] In step S42, the central axis of the normal distribution is obtained according to the normal distribution of the difference.

[0062] In one embodiment, the difference refers to the difference between the actual quality of the raw material used and its preset standard quality. After collecting these difference data in multiple iterations of production, statistical methods are used to fit the normal distribution of these data. The normal distribution is a symmetrical bell-shaped curve that is widely used to describe the distribution of variables in natural and social phenomena. The fitted normal distribution can help us understand the variability of the amount of raw materials used, including its average deviation and dispersion. The central axis of the normal distribution is actually the mean of the distribution, representing the average level of all observed differences. In production process control and quality management, the position of the central axis is very critical because it directly indicates the direction of the average deviation of the use of raw materials, whether it is generally too much or too little compared to the preset standard. Obtaining this central axis helps to evaluate the accuracy of the use of raw materials. If the central axis differs greatly from the expected standard, it indicates that the ratio of the raw materials may need to be adjusted. Through the above technical solution, the production process can be accurately monitored and adjusted to ensure that the use of raw materials is closer to the predetermined standard, thereby improving the consistency of the batch.

[0063] In one embodiment, Figure 5 As shown, step S14 includes the following steps S51-S53:

[0064] In step S51, the deviation distance between the central axis and the longitudinal axis is calculated;

[0065] In step S52, it is calculated whether the deviation distance is greater than a preset adjustment threshold; in step S53;

[0066] In step S53, when the deviation distance is greater than the preset adjustment threshold, the batching method of any raw material is adjusted.

[0067] In one embodiment, first, it is necessary to determine the deviation distance between the central axis of the normal distribution (i.e., the location of the average value) and the ordinate axis. This distance reflects the average deviation between the actual quality of the raw material and the preset standard. The calculated deviation distance is compared with a preset adjustment threshold. This threshold is determined in advance and is used to evaluate whether the deviation is within an acceptable range. If the deviation distance is less than or equal to this threshold, the current batching method is considered reasonable; if the deviation distance is greater than this threshold, it is considered that adjustment is required. If the deviation distance is greater than the preset adjustment threshold, this indicates that there is a significant deviation between the actual quality of the raw material and the expected standard, and the batching method needs to be adjusted. The purpose of the adjustment is to reduce this deviation so that the central axis of the future raw material quality distribution is closer to the ordinate axis. This may include adjusting the amount of raw material added, changing its processing method, or taking other measures to ensure quality consistency. The accuracy of the raw material ratio can be effectively monitored and controlled to ensure the stability and consistency of the raw material quality during the production process, which helps to improve product quality, reduce waste, and improve production efficiency.

[0068] In one embodiment, Figure 6 As shown, the following steps S61-S62 are also included:

[0069] In step S61, after adjusting the batching method of any raw material, the existing normal distribution of the difference of the raw materials is cleared;

[0070] In step S62, the normal distribution of the difference of any raw material is regenerated according to the newly statistical difference.

[0071] In one embodiment, based on the results obtained by the analysis in the previous step, if it is found that the deviation between the actual quality of the raw material used and the preset standard exceeds an acceptable threshold, the batching method of the raw material needs to be adjusted. The purpose of the adjustment is to reduce this deviation so that the use of the raw materials is closer to the preset standard. After adjusting the batching method, the normal distribution of the difference in the quality of the raw materials obtained based on the old batching method no longer reflects the current situation, so it needs to be cleared. Eliminate the information obtained based on the analysis of the old data, thereby providing a blank starting point for the analysis of the new data obtained based on the new batching method. Subsequently, production is carried out according to the new batching method, and new raw material quality difference data is collected and counted. Based on these new data, the normal distribution analysis of the difference is re-performed. The purpose of this step is to evaluate the effect of raw material quality control after adjusting the batching method, that is, to see whether the new batching method can make the quality of the raw materials closer to the preset standard. Dynamic adjustment and optimization of raw material quality control can be achieved. This not only helps to ensure the stability of the quality of the batch and improve production efficiency, but also can adapt to the influence of factors such as raw material quality fluctuations and changes in production conditions.

[0072] In one embodiment, Figure 7 FIG. 1 is a block diagram of a batching device for a batch composed of multiple raw materials according to an exemplary embodiment. Figure 7 As shown, the batching device for the batch material composed of multiple raw materials includes an acquisition module 71, a calculation module 72, an analysis module 73 and an adjustment module 74.

[0073] The acquisition module 71 is used to obtain the actual mass of each raw material in a plurality of batches;

[0074] The calculation module 72 is used to calculate the difference between the preset standard mass and the actual mass of any of the raw materials;

[0075] The analysis module 73 is used to analyze the normal distribution of the difference and obtain the center axis of the normal distribution of the difference of any raw material;

[0076] The adjustment module 74 is used to adjust the batching method of any raw material when the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, so that the central axis of the normal distribution of the mass of any raw material approaches the ordinate axis.

[0077] The acquisition module 71, the calculation module 72, the analysis module 73 and the adjustment module 74 included in the block diagram of the batching device for a batch composed of multiple raw materials are controlled to execute the batching method for a batch composed of multiple raw materials described in any of the above embodiments.

[0078] like Figure 8 As shown, the present invention provides an electronic device 800, the electronic device comprising: a processor 801 and a memory 802 storing computer program instructions;

[0079] When the processor 801 executes the computer program instructions, it obtains the actual mass of each raw material in a plurality of batches; calculates the difference between the preset standard mass and the actual mass of any of the raw materials; analyzes the normal distribution of the difference to obtain the central axis of the normal distribution of the difference of any raw material; when the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, adjusts the batching method of any of the raw materials so that the central axis of the normal distribution of the mass of any of the raw materials approaches the ordinate axis.

[0080] The present invention provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the actual mass of each raw material in a plurality of batches is obtained; the difference between a preset standard mass and the actual mass of any of the raw materials is calculated; the normal distribution of the difference is analyzed to obtain the central axis of the normal distribution of the difference of any raw material; when the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, the batching method of any of the raw materials is adjusted so that the central axis of the normal distribution of the mass of any of the raw materials approaches the ordinate axis.

[0081] It should be understood that the specific features, operations and details described hereinabove about the method of the present invention may also be similarly applied to the device and system of the present invention, or, vice versa. In addition, each step of the method of the present invention described above may be performed by the corresponding parts or units of the device or system of the present invention.

[0082] It should be understood that each module / unit of the device of the present invention can be implemented in whole or in part by software, hardware, firmware or a combination thereof. Each module / unit can be embedded in the processor of the computer device in the form of hardware or firmware or independent of the processor, or can be stored in the memory of the computer device in the form of software for the processor to call to perform the operation of each module / unit. Each module / unit can be implemented as an independent component or module, or two or more modules / units can be implemented as a single component or module.

[0083] In one embodiment, a computer device is provided, which includes a memory and a processor, and the memory stores computer instructions executable by the processor, and the computer instructions instruct the processor to execute each step of the method of the embodiment of the present invention when executed by the processor. The computer device can be a server, a terminal, or any other electronic device with necessary computing and / or processing capabilities in a broad sense. In one embodiment, the computer device may include a processor, a memory, a network interface, a communication interface, etc. connected through a system bus. The processor of the computer device can be used to provide necessary computing, processing and / or control capabilities. The memory of the computer device may include a non-volatile storage medium and an internal memory. An operating system, a computer program, etc. may be stored in or on the non-volatile storage medium. The internal memory can provide an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface and the communication interface of the computer device can be used to connect and communicate with external devices through a network. The steps of the method of the present invention are executed by the processor.

[0084] The present invention may be implemented as a computer-readable storage medium having a computer program stored thereon, which causes the steps of the method of an embodiment of the present invention to be executed when executed by a processor. In one embodiment, the computer program is distributed on a plurality of computer devices or processors coupled to a network so that the computer program is stored, accessed, and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, may be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations may be performed by one or more computer devices or processors, and one or more other method steps / operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step / operation, or perform two or more method steps / operations.

[0085] It will be appreciated by those skilled in the art that the method steps of the present invention may be performed by instructing related hardware such as a computer device or a processor through a computer program, and the computer program may be stored in a non-temporary computer-readable storage medium, which causes the steps of the present invention to be performed when the computer program is executed. Depending on the circumstances, any reference to memory, storage, database, or other media herein may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0086] The various technical features described above can be combined arbitrarily. Although all possible combinations of these technical features are not described, any combination of these technical features should be considered to be covered by this specification as long as there is no contradiction in such combination.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for preparing a batch of ingredients consisting of multiple raw materials, characterized in that: include: Obtain the actual mass of each raw material in multiple batches; Calculating the difference between the preset standard mass and the actual mass of any of the raw materials; Analyze the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material; When the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, the batching method of any raw material is adjusted so that the central axis of the normal distribution of the mass of any raw material approaches the ordinate axis.

2. The method for preparing a batch of ingredients composed of multiple raw materials according to claim 1, characterized in that: The obtaining of the mass of each raw material in the plurality of prepared batches comprises: Before using each raw material to prepare the batch material, weigh and record the mass of each raw material in the batch material.

3. The method for preparing a batch of ingredients composed of multiple raw materials according to claim 2, characterized in that: The calculating the difference between the preset standard mass and the actual mass of any of the raw materials comprises: The difference is calculated based on the recorded mass of each raw material in the batch and the preset standard mass of each raw material, and the sum and average of multiple consecutive differences are calculated.

4. The method for preparing a batch of ingredients composed of multiple raw materials according to claim 1, characterized in that: The analyzing the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material includes: Fitting a normal distribution of the difference values ​​according to multiple consecutive difference values ​​of any raw material; According to the normal distribution of the difference, a central axis of the normal distribution is obtained.

5. The method for preparing a batch of ingredients composed of multiple raw materials according to claim 4, characterized in that: When the distance that the central axis deviates from the ordinate axis is greater than a preset adjustment threshold, adjusting the batching method of any raw material includes: Calculating the deviation distance between the central axis and the longitudinal axis; Calculating whether the deviation distance is greater than a preset adjustment threshold; When the deviation distance is greater than the preset adjustment threshold, the batching method of any raw material is adjusted.

6. The method for preparing a batch of ingredients composed of multiple raw materials according to claim 1, characterized in that: Also includes: After adjusting the batching method of any of the raw materials, the existing normal distribution of the difference of the raw materials is cleared; According to the newly statistical differences, the normal distribution of the differences of any of the raw materials is regenerated.

7. A batching device for a batch of materials composed of multiple raw materials, characterized in that: include: An acquisition module, used to acquire the actual mass of each raw material in a plurality of batches; A calculation module, used for calculating the difference between the preset standard mass and the actual mass of any of the raw materials; An analysis module, used for analyzing the normal distribution of the difference to obtain the center axis of the normal distribution of the difference of any raw material; The adjustment module is used to adjust the batching method of any raw material when the distance that the central axis deviates from the vertical axis is greater than a preset adjustment threshold, so that the central axis of the normal distribution of the mass of any raw material approaches the vertical axis.

8. The batching device for a batch composed of multiple raw materials according to claim 7, characterized in that: The acquisition module, the calculation module, the analysis module and the adjustment module are controlled to execute the batching method of a batch composed of multiple raw materials as described in any one of claims 1-6.

9. A computing device, characterized in that include: Communication interface, processor, memory; Wherein, the memory is used to store program instructions, and when the program instructions are executed by the processor, the computing device implements the batching method of a batch composed of multiple raw materials as described in any one of claims 1 to 6.

10. A computer-readable storage medium having program instructions stored thereon, characterized in that: When the program instructions are executed by a computer, the computer implements the batching method of a batch composed of multiple raw materials as described in any one of claims 1 to 6.

Images