Intelligent precise batching method

Abstract

The application belongs to the field of precise batching, and specifically discloses an intelligent precise batching method, which comprises the following steps: acquiring the number of saggers and the single-sagger load; acquiring the batching quantity of each material in multiple materials through an approximation algorithm; according to the adding sequence of the materials, performing actual feeding of a first added material, and determining the actual batching quantity of the first added material according to the batching quantity of the first added material calculated in the previous step; determining the batching quantity of a second added material according to the actual batching of the first added material; performing actual feeding of the second added material, and determining the actual batching quantity of the second added material according to the batching quantity of the second added material calculated in the previous step; repeating the steps S4-S5, and sequentially performing actual feeding of a third added material, a fourth added material, and so on until actual feeding of a last added material; and according to the batching proportion, feeding each material into a mixing equipment area in batches according to a set number of times.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of precise batching, in particular to an intelligent precise batching method. BACKGROUND

[0002] The new energy positive electrode material mainly includes production processes such as feeding, automatic batching, primary sintering, crushing, washing and drying, secondary sintering, coating and packaging. Among them, according to the production scale of the production line and the product categories produced, the process formula also differs greatly. For example, in the conventional ternary production process, the main materials are corresponding amounts of nickel-cobalt-manganese precursors and lithium salt; and different types of additives are added according to functional needs; these additives may be added at a time or multiple times.

[0003] The current batching system basically uses PLC program to control the weight application. Specifically, after personnel shift, the first step is to check the accuracy of the weight of the precursors and lithium salt from the warehouse batching; then the material enters the storage bin, which is connected to the precise batching bin through a pipeline. The precise batching bin currently uses a precise metering pump to perform multiple weighing and metering, and finally makes the material reach the required range of the formula. However, since the current batching is done in batches, it does not have intelligent calculation, and the system can only perform single-batch batching amount input by personnel to perform batching. This requires the batching personnel to pre-calculate the corresponding single-batch batching amount, so as to achieve the required batching amount. Such operation requires high personnel requirements, personnel must be very experienced and have knowledge of material preparation, automation operation and other aspects, and also requires personnel to have high responsibility to ensure the accuracy of material preparation. Otherwise, when the material is delivered according to the pre-set steps and single-batch batching amount, it is easy to exceed the pre-set range of the weight of the material in the material bin. At this time, the operator needs to adjust the amount of other batching according to the excess amount, and sometimes it is not possible to achieve perfect adaptation to each other when mixing multiple materials, further affecting the consistency of the product.

[0004] In addition, there is another situation to be explained. After the precise configuration of multiple materials, they need to go to the inside of the mixing equipment, but the specific gravity of the materials is different. If all the materials are configured to the required weight in the batching bin and then put into the mixing equipment at one time, it will also cause uneven mixing. At this time, because of the lack of effective monitoring, it is necessary to check the performance after sintering to know what changes have occurred. However, if the materials need to be mixed uniformly, they need to be applied in a layered manner, that is, the materials are divided into multiple batches and put into the mixing bin. For example, three materials (A, B, C), currently A material is all measured and configured, then reaches the mixing bin, B material is all measured and configured, then reaches the mixing bin, and C material is all measured and configured, then reaches the mixing bin. In this way, there are three layers of materials in structure, but when there are many materials, it is easy to cause uneven mixing of the materials.

[0005] To solve the above problems, this document proposes some solutions. For example, through intelligent precise coordination algorithm, not according to the established single configuration amount, can compatible configuration efficiency and precision requirements, complete consistency batching, this consistency mainly reflected in the specific proportion. In addition, through intelligent algorithm, according to different process material requirements, as much as possible to form a multi-layer mixed interface of different materials, to improve the mixing uneven situation. SUMMARY

[0006] The purpose of the present application is to provide an intelligent precise batching method to solve the problems raised in the background art.

[0007] To achieve the above purpose, the present application provides the following technical solution: an intelligent precise batching method, comprising the following steps:

[0008] S1, obtain the number of saggar and the single saggar load;

[0009] S2, obtain the batching quantity of each material in the multi-material through the approaching algorithm;

[0010] S3, according to the adding sequence of the batching, the actual feeding of the first added material is carried out, and the actual batching quantity of the first added material is determined according to the batching quantity of the first added material calculated in the previous step;

[0011] S4, determine the batching quantity of the second added material according to the actual batching of the first added material;

[0012] S5, the actual feeding of the second added material is carried out, and the actual batching quantity of the second added material is determined according to the batching quantity of the second added material calculated in the previous step;

[0013] S6, repeat the above steps S4-S5, and sequentially carry out the actual feeding of the third added material, the fourth added material, …, and the last added material;

[0014] S7, according to the batching proportion, each material is sent into the mixing equipment area in batches according to the set number of times;

[0015] S8, carry out secondary matching calculation and confirm the total weight in the mixing equipment area, if the same as the batching proportion, then enter the next step, if different from the batching proportion, then return to step S2 and recalculate;

[0016] S9, after the batching of each material is completed, carry out the mixing and discharging operation.

[0017] Preferably, in the S3 step, if the actual batching quantity of the first additive material is consistent with the batching quantity of the first additive material, the next step is performed, and if the actual batching quantity of the first additive material is not consistent with the batching quantity of the first additive material, the batching quantity of the subsequent additive material is calculated again according to the actual batching quantity of the first additive material through the approximation algorithm.

[0018] Preferably, in the S5 step, if the actual batching quantity of the second additive material is consistent with the batching quantity of the second additive material, the next step is performed, and if the actual batching quantity of the second additive material is not consistent with the batching quantity of the second additive material, the batching quantity of the third additive material is calculated again according to the actual batching quantity of the second additive material through the approximation algorithm.

[0019] Preferably, in the S1 step, the number of the sagger and the single-sagger load weight are obtained according to the following relationship:

[0020] The total demand weight = the number of the sagger * the single-sagger load weight.

[0021] Preferably, the specific process of the approximation algorithm is as follows:

[0022] 1. Define the objective function:

[0023] The objective function is defined according to the relationship between the batching ratio and the product;

[0024] 2. Initialize the batching ratio;

[0025] The optimal batching ratio is selected according to the experimental results of the product performance;

[0026] 3. Iterative optimization;

[0027] The value of the objective function is calculated according to the current batching ratio, and the value of the subsequent material in the batching ratio is adjusted according to the feedback of the objective function. Specifically, if the value of the objective function is different from the calculated result of the batching ratio, the current value of the objective function is accepted as the starting point for the next iteration, and the value of the subsequent material is calculated according to the batching ratio.

[0028] 4. Termination condition;

[0029] To avoid the iteration into an infinite loop, when the ratio between each material is consistent with the batching ratio, the iteration can be terminated;

[0030] 5. Output the result.

[0031] Compared with the prior art, the present application has the following advantages:

[0032] 1. The intelligent precise batching method provided by the present application can realize the work of manual calculation and processing in the traditional method through intelligent algorithm, utilize the principle of approximation algorithm to obtain the optimal batching measurement mode, and still perform subsequent batching through the batching ratio mode when the batching cannot reach the set amount, so as to ensure the accuracy of material allocation.

[0033] 2. The intelligent precise batching method provided by the present application can avoid the product quality decline caused by uneven mixing of materials when the materials are more in the traditional mode through the set multiple times of batch feeding mode. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 The flowchart of the intelligent precise batching method provided by the present application. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0036] Although specific terms are used in the following description for the sake of clarity, these terms are intended to refer only to particular structure selected for illustration in the drawings and are not intended to limit or restrict the scope of the disclosure in any way. In the drawings and the following description, it is understood that like reference numerals refer to the same function throughout.

[0037] Unless otherwise clear from context, a noun without a quantifier and a noun modified by "said" include singular and plural instances.

[0038] As used in the specification and claims, the terms "comprise", "contain", "have", "may", "include" and variations thereof are used as open-ended transitional phrases, terms or words that require the presence of the named ingredients / steps and allow for the presence of other ingredients / steps. However, such description should be interpreted as also describing the composition or method as "consisting of" and "consisting essentially of" the recited ingredients / steps, which allows only the presence of the specified ingredients / steps and any unavoidable impurities resulting therefrom, and excludes other ingredients / steps.

[0039] The present application provides an intelligent precise batching method, comprising the following steps:

[0040] S1, obtain the number of saggers and the single sagger load, wherein the number of saggers and the single sagger load need to meet the total demand weight = the number of saggers * the single sagger load;

[0041] S2, obtain the batching quantity of each material in the multiple materials through the approximation algorithm;

[0042] S3, according to the adding sequence of the batching, the actual feeding of the first added material is performed, the actual batching quantity of the first added material is determined according to the batching quantity of the first added material calculated in the previous step, if the actual batching quantity of the first added material is consistent with the batching quantity of the first added material, the next step is performed, if the actual batching quantity of the first added material is not consistent with the batching quantity of the first added material, the batching quantity of the subsequent added material is calculated again through the approximation algorithm according to the actual batching quantity of the first added material;

[0043] S4, the batching quantity of the second added material is determined according to the actual batching of the first added material;

[0044] S5, the actual feeding of the second added material is performed, the actual batching quantity of the second added material is determined according to the batching quantity of the second added material calculated in the previous step, if the actual batching quantity of the second added material is consistent with the batching quantity of the second added material, the next step is performed, if the actual batching quantity of the second added material is not consistent with the batching quantity of the second added material, the batching quantity of the third added material is calculated again through the approximation algorithm according to the actual batching quantity of the second added material;

[0045] S6, the above steps S4-S5 are repeated, and the actual feeding of the third added material, the fourth added material, …, and the last added material is sequentially performed;

[0046] S7, according to the batching proportion, each material is sent into the mixing equipment area in batches according to the set number of times;

[0047] S8, the secondary matching calculation is performed in the mixing equipment area, and the total weight is confirmed, if the total weight is the same as the batching proportion, the next step is performed, if the total weight is different from the batching proportion, the step S2 is returned to and the calculation is performed again;

[0048] S9, after the batching of each material is completed, the mixing and discharging operation is performed.

[0049] In the present application, the specific process of the approximation algorithm is as follows:

[0050] 5, define the objective function:

[0051] The objective function is defined according to the relationship between the batching proportion and the product;

[0052] 6, initialize the batching proportion;

[0053] Selecting the best proportion of ingredients according to the experimental results of product performance;

[0054] 7. Iterative optimization;

[0055] According to the current proportion of ingredients, the value of the objective function is calculated, and the value of the subsequent material in the proportion of ingredients is adjusted according to the feedback of the objective function. Specifically, if the value of the objective function is different from the calculated result of the proportion of ingredients, the current value of the objective function is accepted as the starting point of the next iteration, and the value of the subsequent material is calculated according to the proportion of ingredients;

[0056] 8. Termination condition;

[0057] In order to avoid the iteration into an infinite loop, when the ratio between each material is consistent with the proportion of ingredients, the iteration can be terminated;

[0058] 9. Output result.

[0059] Embodiment 1:

[0060] The present application provides an intelligent precise proportioning method, in this embodiment, taking material A, material B and material C as an example, comprising the following steps:

[0061] S1, obtaining the number of sagger and the single sagger load;

[0062] S2, obtaining the proportioning measurement of material A, material B and material C through the proportion of ingredients;

[0063] S3, actual feeding of material A, the actual proportioning amount of material A is determined by the proportioning measurement of material A calculated in the previous step, if the actual proportioning amount of material A is consistent with the proportioning measurement of material A, then proceed to the next step, if the actual proportioning amount of material A is not consistent with the proportioning measurement of material A, then re-calculate the proportioning measurement of material B and material C according to the actual proportioning amount of material A through the approximation algorithm;

[0064] S4, determining the proportioning measurement of material B according to the actual proportioning of material A;

[0065] S5, actual feeding of material B, the actual proportioning amount of material B is determined by the proportioning measurement of material B calculated in the previous step, if the actual proportioning amount of material B is consistent with the proportioning measurement of material B, then proceed to the next step, if the actual proportioning amount of material B is not consistent with the proportioning measurement of material B, then re-calculate the proportioning measurement of material C according to the actual proportioning amount of material B through the approximation algorithm;

[0066] S6, actual feeding of material C;

[0067] S6, according to the proportion of ingredients, material A, material B and material C are sent into the mixing equipment area in batches according to the set number of times;

[0068] S7, secondary matching calculation is carried out in the mixing device area, and the total weight is confirmed, if the same as the proportion of the ingredients, then enter the next step, if different from the proportion of the ingredients, then return to step S2 to recalculate;

[0069] S8, after the ingredients of material A, material B and material C are completed, the discharging operation is carried out.

[0070] In the above intelligent precise batching method, the weights of material A, material B and material C are X, Y and Z respectively; wherein:

[0071] X=X ’ ±X1

[0072] Y=Y ’ ±Y1

[0073] Z=Z ’ ±Z1

[0074] In the above, X ’ , Y ’ and Z ’ are the actual first feeding weights of material A, material B and material C respectively, X1, Y1 and Z1 are the adjusted feeding amounts of material A, material B and material C after the approximation algorithm is adjusted respectively.

[0075] Therefore, the approximation algorithm needs to follow the following two logics: 1, the total amount is consistent; 2, the proportion of the ingredients is consistent; wherein, the total amount is consistent, that is:

[0076] X+Y+Z=total amount

[0077] The proportion of the ingredients is consistent, that is:

[0078] X:Y:Z=proportion of ingredients

[0079] It is worth noting that: the whole device is controlled by a total control button, since the control button matches the commonly used device, which belongs to the prior art, the electrical connection relationship and the specific circuit structure are not described here.

[0080] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent and precise ingredient dispensing method, characterized in that, Includes the following steps: S1. Obtain the number of saggers and the load capacity of a single sagger; S2. Obtain the batching and metering of each material in a multi-material group using a convergence algorithm; S3. According to the order of adding ingredients, the actual feeding of the first added material is carried out, and the actual quantity of the first added material is determined by the ingredient metering of the first added material calculated in the previous step. S4. Determine the metering of the second additive based on the actual batching of the first additive; S5. Perform the actual feeding of the second added material. The actual feeding quantity of the second added material is determined by the feeding measurement of the second added material calculated in the previous step. S6. Repeat steps S4-S5 above, sequentially adding the third material, the fourth material, ... until the actual feeding of the last material; S7. According to the mixing ratio, each material is fed into the mixing equipment area in batches according to the set number of times; S8. Perform secondary matching calculation and confirm the total weight in the mixing equipment area. If it is the same as the batching ratio, proceed to the next step. If it is different from the batching ratio, return to step S2 to recalculate. S9. After each material is prepared, perform a mixing and feeding operation.

2. The intelligent and precise ingredient dispensing method according to claim 1, characterized in that: In step S3, if the actual quantity of the first added material matches the metering of the first added material, proceed to the next step; if the actual quantity of the first added material does not match the metering of the first added material, recalculate the metering of the subsequent added materials based on the actual quantity of the first added material using the approximation algorithm.

3. The intelligent and precise ingredient dispensing method according to claim 1, characterized in that: In step S5, if the actual quantity of the second added material is consistent with the metering of the second added material, proceed to the next step; if the actual quantity of the second added material is inconsistent with the metering of the second added material, recalculate the metering of the third added material based on the actual quantity of the second added material using the approximation algorithm.

4. The intelligent and precise ingredient dispensing method according to claim 1, characterized in that: In step S1, the number of saggers and the load capacity of a single sagger are obtained according to the following relationship: Total required weight = number of saggers * load capacity of a single sagger.

5. The intelligent and precise ingredient dispensing method according to claim 1, characterized in that: The specific process of the convergence algorithm is as follows:

1. Define the objective function: Define the objective function based on the relationship between the ingredient ratio and the product; 2. Initialize the ingredient ratio; Select the optimal ingredient ratio based on the experimental results of product performance; 3. Iterative optimization; The objective function is calculated based on the current ingredient ratio, and the values ​​of subsequent materials in the ingredient ratio are adjusted based on the feedback from the objective function. Specifically, if the value of the objective function is different from the calculated ingredient ratio, the current value of the objective function is accepted as the starting point for the next iteration, and the values ​​of subsequent materials are calculated based on the ingredient ratio.

4. Termination conditions; To avoid the iteration from entering an infinite loop, the iteration can be terminated when the ratio between each material is consistent with the ingredient ratio.

5. Output results.

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