Accurate weighing and canning method and equipment based on calcium powder packaging platform and storage medium

Abstract

The invention discloses an accurate weighing and canning method and device based on a calcium powder packaging platform and a storage medium, and the method comprises the steps: obtaining a basic characteristic data set of calcium powder and a specification data set of a packaging container, generating an adaptive canning parameter model, obtaining real-time fluidity data of the calcium powder, and calculating the optimal canning flow rate. The method comprises the following steps: constructing a canning time calculation formula, calculating the current remaining canning time, calculating the canning precision, optimizing a canning parameter model through the steps of abnormal value processing, nonlinear fitting, stability analysis and the like, dynamically adjusting the canning process by using real-time data, improving the weighing precision and the canning efficiency, and meanwhile, improving the canning precision. Automatic execution of the method is achieved through electronic equipment and a computer readable storage medium, the method is suitable for the field of calcium powder packaging, the problems of inaccurate weighing, low canning efficiency, poor parameter adaptability and the like in the prior art are effectively solved, and the production efficiency and the product quality stability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of calcium powder packaging, more particularly, to a method and device for precise weighing and canning based on a calcium powder packaging platform, and a storage medium. BACKGROUND

[0002] In modern industrial production, calcium powder is an important raw material, and the precision and efficiency of its packaging process have a key impact on product quality and production efficiency. With the continuous development of automation technology and intelligent algorithms, higher requirements are placed on the precise weighing and canning technology of the calcium powder packaging platform. Traditional calcium powder packaging methods often rely on fixed parameters and experience-based judgments, making it difficult to adapt to changes in the characteristics of different batches of calcium powder and dynamic adjustments of the production environment, resulting in inaccurate weighing, low canning efficiency, and other problems. In order to meet the strict requirements of the market for product quality and production efficiency, a packaging method that can obtain real-time calcium powder characteristic data, dynamically adjust canning parameters, and has high precision and stability is needed. At the same time, with the widespread application of computer technology, it is possible to analyze and process data through intelligent algorithms to achieve automated control, which provides technical support and implementation approaches for the innovation of calcium powder packaging technology.

[0003] The prior art has the problems of insufficient weighing accuracy, low canning efficiency, poor parameter adaptability, insufficient system stability, and lack of real-time data utilization. SUMMARY

[0004] To overcome the problems of insufficient weighing accuracy, low canning efficiency, poor parameter adaptability, insufficient system stability, and lack of real-time data utilization in the prior art, the present application designs a method and device for precise weighing and canning based on a calcium powder packaging platform, and a storage medium, which can effectively solve the above technical problems.

[0005] To solve the above technical problems, the technical solution of the present application is as follows: A method for precise weighing and canning based on a calcium powder packaging platform, comprising the following steps: Obtain a basic characteristic data set of calcium powder and a specification data set of packaging containers; Generate an adapted canning parameter model according to the basic characteristic data set and the specification data set; Obtain real-time flowability data of the calcium powder; Calculate the optimal canning flow rate based on the canning parameter model, the real-time flowability data of the calcium powder, and a preset flow rate optimization formula; Obtain the number of canning heads and construct a canning time calculation formula according to the optimal canning flow rate, a preset first safety threshold, and the number of canning heads; Obtain real-time canning batches and calculate the current canning remaining time based on the canning time calculation formula and the real-time canning batches; The filling accuracy is calculated according to a preset accuracy calculation formula and a current remaining filling time.

[0006] Preferably, the generating of the adapted filling parameter model according to the basic characteristic data set and the specification data set comprises: Performing outlier processing on the basic characteristic data set according to preset standard calcium powder characteristic data and a preset characteristic deviation threshold, to obtain an optimized characteristic data set; Generating a first model according to the specification data set and the optimized characteristic data set; Performing nonlinear fitting on the first model to obtain a second model; Performing stability analysis on the second model to obtain a stability coefficient; Judging whether the stability coefficient is greater than a preset coefficient, and setting the second model as the filling parameter model when the stability coefficient is greater than the preset coefficient.

[0007] Preferably, the performing of outlier processing on the basic characteristic data set according to the preset standard calcium powder characteristic data and the preset characteristic deviation threshold, to obtain the optimized characteristic data set comprises: Performing difference calculation on all characteristic data in the basic characteristic data set and the standard calcium powder characteristic data, to obtain a difference data set; Performing outlier processing on the basic characteristic data set according to the preset characteristic deviation threshold and the difference data set, to obtain the optimized characteristic data set.

[0008] Preferably, the calculating of the optimal filling flow rate based on the filling parameter model, real-time calcium powder flowability data and a preset flow rate optimization formula comprises: Performing calculation based on the filling parameter model and the real-time calcium powder flowability data, to obtain a theoretical flow rate data set; Calculating flow rate optimization value set based on the flow rate optimization formula and the theoretical flow rate data set; Selecting a maximum flow rate optimization value from the flow rate optimization value set, and obtaining a flow rate corresponding to the maximum flow rate optimization value, to obtain the optimal filling flow rate.

[0009] Preferably, the constructing of the filling time calculation formula according to the optimal filling flow rate, a preset first safety threshold and a number of filling heads comprises: Obtaining a single filling head flow rate, a conveying belt speed and a filling start-up delay time, and calculating a first running time according to the single filling head flow rate, the number of filling heads, the conveying belt speed and the filling start-up delay time; Generating a first filling operation instruction according to the first running time and the first safety threshold; Obtaining a first working state of the filling head according to the first filling operation instruction, to obtain the first working state; analyzing the first working state; when the first working state is a pause filling state, calculating a second running time according to the optimal filling flow rate and the number of filling heads; obtaining a filling cycle number; constructing a filling time calculation formula according to the filling cycle number, a preset second safety threshold and the second running time.

[0010] Preferably, the constructing of the filling time calculation formula according to the filling cycle number, the preset second safety threshold and the second running time comprises: calculating a first filling residence time according to the filling cycle number, the preset second safety threshold, the second running time and the number of filling heads; judging whether the first filling residence time is greater than a theoretical filling time corresponding to the optimal filling flow rate; when the first filling residence time is greater than the theoretical filling time corresponding to the optimal filling flow rate, obtaining a maximum filling volume, a filling batch parameter, a weight constant value and a filling concentration multiple; constructing a filling time calculation formula according to the filling cycle number, a flow rate optimization formula, the optimal filling flow rate, the maximum filling volume, the filling batch parameter, the weight constant value and the filling concentration multiple.

[0011] Preferably, the calculating of the first filling residence time according to the filling cycle number, the preset second safety threshold, the second running time and the number of filling heads comprises: generating a second filling operation instruction according to the second running time, the filling cycle number and the preset second safety threshold; obtaining a filling head working state according to the second filling operation instruction to obtain a second working state; analyzing the second working state; when the second working state is a pause filling state, calculating a second filling residence time according to a single filling head flow rate, the number of filling heads and a conveying belt speed; calculating the first filling residence time according to the second filling residence time, the second running time and the filling cycle number.

[0012] An electronic device comprising a memory and at least one processor, the memory having instructions stored therein, and the at least one processor invoking the instructions in the memory to cause the device to perform each step of the method for precise weighing and filling based on a calcium powder packaging platform as described above.

[0013] A computer readable storage medium having instructions stored thereon, the instructions being executed by a processor to implement each step of the method for precise weighing and filling based on a calcium powder packaging platform as described above.

[0014] Compared with the prior art, the beneficial effects of the present application are: the present application obtains the basic characteristic data set of calcium powder and the specification data set of the packaging container, and generates an adaptive tanking parameter model, which can fully consider the characteristics of calcium powder and the container specification, thereby improving the accuracy of weighing and ensuring the quality stability of each batch of products. After obtaining the real-time flowability data of calcium powder, the optimal tanking flow rate is calculated by combining the tanking parameter model and the preset flow rate optimization formula, which realizes dynamic adjustment of the tanking speed according to the real-time state of calcium powder, effectively improves the tanking efficiency, and shortens the production cycle. A tanking time calculation formula is constructed according to the optimal tanking flow rate, the preset safety threshold and the number of tanking heads, and based on the real-time tanking batch, the current tanking remaining time and the tanking accuracy are calculated, so that the entire tanking process is more orderly controllable, further improving the production efficiency and product quality. Through the realization of electronic equipment and computer readable storage medium, the method has high automation and intelligence, can respond to various changes in the production process in real time, has good parameter adaptability, can adjust the parameters in time when the calcium powder and the production environment change in different batches, and ensures the continuity and stability of production. In addition, stability analysis is performed on the tanking parameter model to ensure the reliability of the system during long-time operation, and to reduce the rate of defective products. In summary, the present application fully utilizes real-time data to finely control and optimize the tanking process, and comprehensively improves the accuracy, efficiency and stability of calcium powder packaging. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and those skilled in the art can also obtain other drawings according to the provided drawings without creative labor.

[0016] Figure 1 A method for precise weighing and tanking based on a calcium powder packaging platform. DETAILED DESCRIPTION

[0017] The drawings are only used for illustrative purposes and cannot be understood as limiting the patent; In order to better illustrate the present embodiment, some components in the drawings may be omitted, enlarged or reduced, and do not represent the actual size of the product; For those skilled in the art, it is understandable that some known structures and their descriptions in the drawings may be omitted.

[0018] The technical solutions of the present application will be further described below in combination with the drawings and embodiments.

[0019] EMBODIMENT

[0020] A method for precise weighing and canning based on a calcium powder packaging platform, please refer to Figure 1 , comprising the following steps: obtaining a basic characteristic data set of calcium powder and a specification data set of a packaging container; generating an adapted canning parameter model according to the basic characteristic data set and the specification data set; obtaining real-time flowability data of calcium powder; calculating the optimal canning flow rate based on the canning parameter model, the real-time flowability data of calcium powder, and a preset flow rate optimization formula; obtaining the number of canning heads, and constructing a canning time calculation formula according to the optimal canning flow rate, a preset first safety threshold, and the number of canning heads; obtaining a real-time canning batch, and calculating the current canning remaining time based on the canning time calculation formula and the real-time canning batch; calculating the canning precision according to a preset precision calculation formula and the current canning remaining time.

[0021] The generating an adapted canning parameter model according to the basic characteristic data set and the specification data set comprises: performing outlier processing on the basic characteristic data set according to preset standard calcium powder characteristic data and a preset characteristic deviation threshold to obtain an optimized characteristic data set; generating a first model according to the specification data set and the optimized characteristic data set; performing nonlinear fitting on the first model to obtain a second model; performing stability analysis on the second model to obtain a stability coefficient; determining whether the stability coefficient is greater than a preset coefficient, and setting the second model as the canning parameter model when the stability coefficient is greater than the preset coefficient.

[0022] The performing outlier processing on the basic characteristic data set according to preset standard calcium powder characteristic data and a preset characteristic deviation threshold to obtain an optimized characteristic data set comprises: performing difference calculation on all characteristic data in the basic characteristic data set and the standard calcium powder characteristic data to obtain a difference data set; performing outlier processing on the basic characteristic data set according to the preset characteristic deviation threshold and the difference data set to obtain the optimized characteristic data set.

[0023] The calculating the optimal canning flow rate based on the canning parameter model, the real-time flowability data of calcium powder, and a preset flow rate optimization formula comprises: performing calculation based on the canning parameter model and the real-time flowability data of calcium powder to obtain a theoretical flow rate data set; calculating a flow rate optimization value set based on the flow rate optimization formula and the theoretical flow rate data set; Select the maximum flow rate optimization value from the set of flow rate optimization values, and obtain the flow rate corresponding to the maximum flow rate optimization value to obtain the optimal filling flow rate.

[0024] The formula for calculating filling time, constructed based on the optimal filling flow rate, a preset first safety threshold, and the number of filling heads, includes: The flow rate of a single filling head, the conveyor belt speed, and the filling start delay time are obtained, and the first running time is calculated based on the flow rate of a single filling head, the number of filling heads, the conveyor belt speed, and the filling start delay time. A first canning operation instruction is generated based on a first running time and a first safety threshold. The working status of the filling head is obtained according to the first filling operation instruction to obtain the first working status; The first working state is analyzed; when the first working state is the paused filling state, the second running time is calculated based on the optimal filling flow rate and the number of filling heads. Get the number of canning cycles; The formula for calculating filling time is constructed based on the number of filling cycles, the preset second safety threshold, and the second running time.

[0025] The formula for calculating the filling time, constructed based on the number of filling cycles, a preset second safety threshold, and a second running time, includes: The first filling residence time is calculated based on the number of filling cycles, the preset second safety threshold, the second running time, and the number of filling heads. Determine whether the residence time of the first can is greater than the theoretical filling time corresponding to the optimal filling flow rate; If the residence time of the first filling is greater than the theoretical filling time corresponding to the optimal filling flow rate, then obtain the maximum filling volume, filling batch parameters, weight setpoint and filling concentration ratio. The formula for calculating filling time is constructed based on the number of filling cycles, the flow rate optimization formula, the optimal filling flow rate, the maximum filling volume, the filling batch parameters, the weight setpoint, and the filling concentration ratio.

[0026] The calculation of the first canning residence time based on the number of canning cycles, the preset second safety threshold, the second running time, and the number of canning heads includes: A second filling operation instruction is generated based on the second running time, the number of filling cycles, and the preset second safety threshold. The working status of the filling head is obtained according to the second filling operation instruction, so as to obtain the second working status; Analyze the second working state; When the second working state is the paused filling state, the second filling residence time is calculated based on the flow rate of a single filling head, the number of filling heads, and the conveyor belt speed. The first filling residence time is calculated based on the second filling residence time, the second running time, and the number of filling cycles.

[0027] An electronic device includes: a memory and at least one processor, the memory storing instructions, wherein the at least one processor invokes the instructions in the memory to cause the device to perform various steps of the method for precise weighing and filling based on a calcium powder packaging platform as described above.

[0028] A computer-readable storage medium storing instructions that, when executed by a processor, implement the steps of the method for precise weighing and filling based on a calcium powder packaging platform as described above.

[0029] In practical implementation, the basic characteristic dataset of calcium powder includes parameters such as particle size distribution, density, and flowability of calcium powder. Through experimental measurement and historical data collection, a dataset containing various characteristics of calcium powder is established. For example, a laser particle size analyzer is used to measure the particle size distribution of different batches of calcium powder, a densitometer is used to measure the density, and a rheometer is used to measure the flowability.

[0030] Packaging Container Specification Dataset: This dataset covers information such as the volume, shape, and opening size of packaging containers. Based on common packaging needs, it collects specification data for various packaging containers. For example, for plastic buckets or cardboard boxes of different capacities, it records parameters such as their internal volume, opening diameter, and height.

[0031] Generate a bottling parameter model and handle outliers: Based on preset standard calcium powder characteristic data and characteristic deviation thresholds, outlier handling is performed on the basic characteristic dataset. The specific steps are as follows: The difference between each characteristic data in the basic characteristic dataset and the standard calcium powder characteristic data is calculated to obtain the difference dataset. According to the preset characteristic deviation threshold, the difference dataset is filtered to remove abnormal data points that exceed the threshold range, thereby obtaining the optimized characteristic dataset.

[0032] Model generation and optimization: Combining the specification dataset and the optimized characteristic dataset, an initial first model was generated, which initially established the correlation between calcium powder characteristics and packaging container specifications.

[0033] The first model is fitted nonlinearly using fitting algorithms such as least squares to adjust the model parameters so that it better fits the actual data, thus obtaining the second model.

[0034] A stability analysis is performed to calculate the stability coefficient. The stability coefficient is then verified using simulations or historical data to determine if it exceeds a preset coefficient. If it does, the second model is selected as the canning parameter model; otherwise, the model structure or parameters need to be readjusted, and the fitting and analysis process repeated until the stability requirements are met.

[0035] To obtain real-time flowability data of calcium powder, before the filling operation, use professional equipment such as rheometers to conduct real-time flowability tests on the calcium powder to be filled, and obtain its current flowability parameters, such as viscosity and flow rate. This real-time data can reflect the flow state of calcium powder under actual filling conditions and provide an accurate basis for flow rate calculation.

[0036] Calculating the optimal filling flow rate: Based on the generated filling parameter model and the acquired real-time calcium powder flow data, a theoretical flow rate dataset is calculated. This process comprehensively considers the influence of calcium powder characteristics and packaging container specifications on the flow rate. Using a preset flow rate optimization formula, the theoretical flow rate dataset is processed to calculate the optimized flow rate value set. The flow rate optimization formula may involve calculations such as weighted averaging and deviation correction of the theoretical flow rate to better reflect actual production needs. The maximum optimized flow rate value is selected from the optimized flow rate value set, and its corresponding flow rate is obtained and determined as the optimal filling flow rate. This flow rate can ensure filling efficiency while meeting the safety and accuracy requirements of the production process.

[0037] A formula for calculating filling time is constructed as follows: The number of filling heads is obtained, which is a crucial parameter for determining the scale of the filling operation. Based on the optimal filling flow rate, a preset first safety threshold, and the number of filling heads, a formula for calculating filling time is developed. The first safety threshold may be related to factors such as pressure limits and flow rate fluctuations during the filling process, and is used to ensure the safety and stability of the filling process. Parameters such as the flow rate of a single filling head, conveyor belt speed, and filling start-up delay time are obtained. These parameters reflect the operating characteristics of the filling equipment and the material transfer situation.

[0038] The first running time is calculated based on the flow rate of a single filling head, the number of filling heads, the conveyor belt speed, and the filling start-up delay time. The calculation formula can be expressed as: [First running time = (Packaging container volume × Number of filling heads) / (Flow rate of a single filling head × Conveyor belt speed) + Filling start-up delay time].

[0039] Based on the first running time and the first safety threshold, a first filling operation instruction is generated. This instruction guides the initial operation of the filling equipment, ensuring that it operates within a safe range. Based on the first filling operation instruction, the working status of the filling head is obtained, resulting in the first working status. Through monitoring devices such as sensors, the operating status information of the filling head is obtained in real time, such as whether it is working normally and whether there is any blockage.

[0040] The first working state is analyzed. If it is in the paused filling state, the second running time is calculated based on the optimal filling flow rate and the number of filling heads. The second running time is used to adjust the operation of the filling equipment to adapt to the actual production situation. The number of filling cycles is obtained, that is, the number of cycles required to complete the filling of one packaging container.

[0041] Based on the number of filling cycles, the preset second safety threshold, and the second running time, a filling time calculation formula is constructed. The second safety threshold may be related to factors such as time limits and material accumulation during the filling cycle, and is used to ensure the stability and safety of the filling cycle. The filling time calculation formula can be further refined to: [filling time = number of filling cycles × (second running time + second safety threshold)].

[0042] Calculate filling accuracy: Based on the preset accuracy calculation formula and the remaining filling time, the filling accuracy is calculated. The accuracy calculation formula may comprehensively consider factors such as the deviation between the remaining filling time and the expected time, and the difference between the filling quantity and the target quantity. Through certain mathematical operations, such as percentage calculation and variance analysis, the accuracy value is obtained. This accuracy value can reflect the accuracy of the filling process in real time, providing a basis for subsequent production adjustments and quality control. For example, if the accuracy is lower than the preset standard, the filling parameters or equipment operating status can be adjusted in time to improve the filling quality.

[0043] It includes a memory and at least one processor. The memory stores instructions, and the at least one processor calls the instructions in the memory to cause the device to execute the various steps of the above-described method for precise weighing and filling based on the calcium powder packaging platform. Specifically, the processor is responsible for running the program instructions in the memory to perform a series of operations such as data acquisition, model generation, flow rate calculation, time calculation, and accuracy evaluation, thereby controlling the precise execution of the entire calcium powder filling process.

[0044] The computer-readable storage medium stores instructions that, when executed by a processor, implement the various steps of the above-mentioned method for precise weighing and filling based on a calcium powder packaging platform. The storage medium can be an optical disc, USB flash drive, hard disk, etc., used to store program instructions for electronic devices to read and run, so as to complete the precise control task of calcium powder filling.

[0045] The same or similar labels correspond to the same or similar parts; The terms used to describe positional relationships in the accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent. Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. For those skilled in the art, other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all implementation methods here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the claims of the present invention.

Claims

1. A method for precise weighing and filling of calcium powder based on a calcium powder packaging platform, characterized in that, Includes the following steps: Obtain a dataset of the basic properties of calcium powder and a dataset of the specifications of the packaging containers; Generate a suitable canning parameter model based on the basic characteristic dataset and specification dataset; Obtain real-time flowability data for calcium powder; The optimal canning flow rate is calculated based on the canning parameter model, real-time calcium powder flow data, and a preset flow rate optimization formula. Obtain the number of filling heads, and construct a filling time calculation formula based on the optimal filling flow rate, the preset first safety threshold, and the number of filling heads; Obtain the real-time filling batch and calculate the remaining filling time based on the filling time calculation formula and the real-time filling batch; The filling accuracy is calculated based on the preset accuracy calculation formula and the remaining filling time.

2. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 1, characterized in that, The process of generating a suitable canning parameter model based on the basic characteristic dataset and specification dataset includes: The basic characteristic dataset is processed for outliers based on preset standard calcium powder characteristic data and preset characteristic deviation thresholds to obtain an optimized characteristic dataset. The first model is generated based on the specification dataset and the optimization feature dataset; The first model is subjected to nonlinear fitting to obtain the second model; A stability analysis was performed on the second model to obtain the stability coefficients; Determine whether the stability coefficient is greater than the preset coefficient. If the stability coefficient is greater than the preset coefficient, then set the second model as the canning parameter model.

3. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 2, characterized in that, The step of processing outliers in the basic characteristic dataset based on preset standard calcium powder characteristic data and preset characteristic deviation thresholds to obtain an optimized characteristic dataset includes: The difference between all characteristic data in the basic characteristic dataset and the standard calcium powder characteristic data is calculated to obtain the difference dataset. The basic feature dataset is processed for outliers based on the preset feature deviation threshold and the difference dataset to obtain the optimized feature dataset.

4. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 1, characterized in that, The optimal canning flow rate calculated based on the canning parameter model, real-time calcium powder flow data, and a preset flow rate optimization formula includes: Theoretical flow rate datasets are obtained by calculating based on canning parameter models and real-time calcium powder flow data. The optimized velocity value set is calculated based on the velocity optimization formula and the theoretical velocity dataset. Select the maximum flow rate optimization value from the set of flow rate optimization values, and obtain the flow rate corresponding to the maximum flow rate optimization value to obtain the optimal filling flow rate.

5. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 1, characterized in that, The formula for calculating filling time, constructed based on the optimal filling flow rate, a preset first safety threshold, and the number of filling heads, includes: The flow rate of a single filling head, the conveyor belt speed, and the filling start delay time are obtained, and the first running time is calculated based on the flow rate of a single filling head, the number of filling heads, the conveyor belt speed, and the filling start delay time. A first canning operation instruction is generated based on a first running time and a first safety threshold. The working status of the filling head is obtained according to the first filling operation instruction to obtain the first working status; The first working state is analyzed; when the first working state is the paused filling state, the second running time is calculated based on the optimal filling flow rate and the number of filling heads. Get the number of canning cycles; The formula for calculating filling time is constructed based on the number of filling cycles, the preset second safety threshold, and the second running time.

6. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 5, characterized in that, The formula for calculating the filling time, constructed based on the number of filling cycles, a preset second safety threshold, and a second running time, includes: The first filling residence time is calculated based on the number of filling cycles, the preset second safety threshold, the second running time, and the number of filling heads. Determine whether the residence time of the first can is greater than the theoretical filling time corresponding to the optimal filling flow rate; If the residence time of the first filling is greater than the theoretical filling time corresponding to the optimal filling flow rate, then obtain the maximum filling volume, filling batch parameters, weight setpoint and filling concentration ratio. The formula for calculating filling time is constructed based on the number of filling cycles, the flow rate optimization formula, the optimal filling flow rate, the maximum filling volume, the filling batch parameters, the weight setpoint, and the filling concentration ratio.

7. The method for precise weighing and filling based on a calcium powder packaging platform according to claim 6, characterized in that, The calculation of the first canning residence time based on the number of canning cycles, the preset second safety threshold, the second running time, and the number of canning heads includes: A second filling operation instruction is generated based on the second running time, the number of filling cycles, and the preset second safety threshold. The working status of the filling head is obtained according to the second filling operation instruction, so as to obtain the second working status; Analyze the second working state; When the second working state is the paused filling state, the second filling residence time is calculated based on the flow rate of a single filling head, the number of filling heads, and the conveyor belt speed. The first filling residence time is calculated based on the second filling residence time, the second running time, and the number of filling cycles.

8. An electronic device, characterized in that, include: The device includes a memory and at least one processor, the memory storing instructions, and at least one processor invoking the instructions in the memory to cause the device to perform the steps of the method for accurate weighing and filling based on a calcium powder packaging platform as described in any one of claims 1-7.

9. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the method for accurate weighing and filling based on a calcium powder packaging platform as described in any one of claims 1-7.

Images