High-temperature purification production line scheduling optimization system and method

Abstract

The invention discloses a scheduling optimization system and method for a high-temperature purification production line, relates to the technical field of production line optimization, and solves the problems that specific steps causing reduction of the yield cannot be determined when the high-temperature purification of a current product is abnormal, and debugging needs to be carried out for many times when the abnormal steps of the high-temperature purification are optimized. Comprising a basic data analysis module, a priority ranking module, a process analysis unit and a deep purification unit, and the basic data analysis module is used for analyzing initial purification data of a to-be-purified product; the priority ranking module is used for carrying out yield priority ranking on all steps of the high-temperature purification production line; the process analysis unit is used for setting a corresponding detection sequence according to the processing priorities of different steps, and the deep purification unit is used for optimizing and improving the yield of the corresponding steps of deep purification. And the optimal data of the to-be-purified product in the high-temperature purification process can be obtained through quick debugging.

Description

Technical Field

[0001] The present invention belongs to the technical field of production line optimization, and in particular relates to a high-temperature purification production line scheduling optimization system and method. Background Art

[0002] High-temperature purification is a process that uses high-temperature heat treatment to remove impurities from materials. Typically, in a controlled atmosphere (such as an inert or reducing gas), the material to be purified is heated to hundreds to thousands of degrees Celsius. This allows impurities such as moisture, volatile organic compounds, and metal oxides to decompose, evaporate, or react with the protective atmosphere to escape, significantly improving the chemical purity and crystal structure order of the product. This method is widely used in fields such as carbon materials, metal alloys, and semiconductors. Through multiple cycles of heating, holding, and cooling, it continuously optimizes the material's microstructure and properties, meeting the stringent purity and stability requirements of industries such as high-end electronics, energy, and aerospace.

[0003] In existing technologies, the high-temperature purification process for the product to be purified involves numerous steps. When the overall yield rate drops, it's difficult to pinpoint the step that caused the drop. Furthermore, when yields drop simultaneously across multiple steps, prioritizing the abnormal steps is difficult. Furthermore, when optimizing any abnormal step in high-temperature purification, the trial-and-error cost of obtaining optimal debugging data for the corresponding step is high, making multiple debugging attempts impossible. To this end, the present invention proposes a high-temperature purification production line scheduling optimization system and method. Summary of the Invention

[0004] The purpose of the present invention is to provide a high-temperature purification production line scheduling optimization system and method to solve the problems raised in the above background technology.

[0005] The technical problems to be solved by the present invention are: How to prioritize abnormal steps in high-temperature purification processes and obtain optimal debugging data.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A high-temperature purification production line scheduling optimization system includes a data acquisition module, a data storage module, a basic data analysis module, a priority sorting module, an analysis and optimization module, and a visualization display module. The data storage module is used to store production data of the product to be purified; the data acquisition module is used to obtain initial purification data when the product to be purified is tested; The basic data analysis module is used to analyze the initial purification data of the product to be purified, and to obtain the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line; the priority sorting module is used to prioritize the yield rate of each step in the high-temperature purification production line and obtain the processing priority of each step in the high-temperature purification production line; The data acquisition module is also used to obtain the initial data of deep purification of the product to be purified. The analysis and optimization module includes a process analysis unit and a deep purification unit. The process analysis unit is used to set the corresponding detection sequence according to the processing priority of different steps. The deep purification unit is used to optimize and improve the yield rate of the corresponding steps of deep purification. The visualization display module is used to visualize the optimal hydrogen ratio, optimal insulation time and yield rate of the experimental steps for deep purification.

[0007] Furthermore, the production line is provided with four groups of high-temperature purification furnaces, the first high-temperature purification furnace is used for performing an impurity extraction step on the product to be purified, the second high-temperature purification furnace is used for performing a pre-purification step on the product to be purified, the third high-temperature purification furnace is used for performing a deep purification step on the product to be purified, and the fourth high-temperature purification furnace is used for performing a graphitization step on the product to be purified; The production data of the product to be purified in the data storage module includes: the daily output of the product to be purified during high-temperature purification on each production line in the past week, the standard yield data of the product to be purified and the average yield data of the same type of product to be purified in the industry, and the maximum hydrogen ratio, minimum hydrogen ratio, maximum holding time, and minimum holding time of the high-temperature purification furnace corresponding to all steps in the high-temperature purification process; The initial purification data are the amount of waste caused by each step in the different production lines, namely the amount of impurity extraction waste, the amount of pre-purification waste, the amount of deep purification waste and the amount of graphitization waste.

[0008] Furthermore, the analysis process of the basic data analysis module is as follows: Obtain the daily output of the product to be purified for high-temperature purification in each production line in the past week, add up the daily outputs of the product to be purified, and take the average value to obtain the average daily output of the product to be purified in each production line; If the average daily output of any production line is greater than the standard average daily output, the average daily output of the corresponding production line is determined to be qualified; if the average daily output of any production line is less than or equal to the standard average daily output, the average daily output of the corresponding production line is determined to be unqualified and the process proceeds to the next step; Then, initial purification data of the product to be purified is obtained, and the step yield rate of the product to be purified in each step of the high-temperature purification production line is obtained based on the initial purification data; At the same time, the number of products to be purified that are qualified in the graphitization step is taken as the final qualified number of products to be purified.

[0009] Furthermore, the standard yield data of the product to be purified includes the standard total yield rate and the standard step yield rate, wherein the standard step yield rate includes the standard step yield rate of impurity extraction, the standard step yield rate of pre-purification, the standard step yield rate of deep purification, and the standard step yield rate of graphitization; The average yield data of the product to be purified includes the average total yield and the average step yield. The average step yield includes the average step yield of impurity extraction, the average step yield of pre-purification, the average step yield of deep purification and the average step yield of graphitization.

[0010] Furthermore, the working process of the priority sorting module is as follows: Obtain the final qualified product number of the product to be purified, and divide the final qualified product number by the total number of products to be purified to obtain the total yield rate of the product to be purified; When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the corresponding processing priority is set according to the sequence of steps in the high-temperature purification of the product to be purified; When the total yield rate of the product to be purified is greater than the standard total yield rate, the total yield rate is compared with the average total yield rate; If the total yield rate is greater than the average total yield rate, no operation is performed; if the total yield rate is less than or equal to the average total yield rate, proceed to the next step; Obtaining the step yields corresponding to all steps in the high-temperature purification process of the product to be purified, and comparing the step yields of all steps in the high-temperature purification process of the product to be purified with the corresponding standard step yields and the average step yield; If the step yield rate of a step is less than or equal to the corresponding standard step yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the processing priority of the corresponding step is set to high priority. If there are multiple steps with high priority, they are processed in the order of the steps when the product to be purified is subjected to high-temperature purification; If the step yield of a step is greater than the corresponding standard step yield, but the step yield of a step is less than or equal to the corresponding average step yield, the processing priority of the corresponding step is set to medium priority. If there are multiple steps with medium priority, they are processed in sequence according to the order of the steps during high-temperature purification of the product to be purified; If the step yield of a step is greater than the corresponding average step yield, it is determined that the processing priority of the corresponding step is set to a low priority; Among them, the processing priority of the first priority is greater than the processing priority of the second priority, the processing priority of the second priority is greater than the processing priority of the third priority, and the processing priority of the third priority is greater than the processing priority of the fourth priority.

[0011] Furthermore, the initial data of deep purification include the initial insulation time of the third high-temperature purification furnace when the product to be purified is kept warm and the initial hydrogen ratio of the third high-temperature purification furnace; the initial hydrogen ratio is the ratio between hydrogen and argon when the product to be purified is subjected to high-temperature purification in the deep purification step.

[0012] Furthermore, the working process of the process analysis unit is as follows: When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the process analysis unit uses the order of steps in the high-temperature purification of the product to be purified as the detection order; When the total yield of the product to be purified is greater than the standard total yield, the process analysis unit takes the detection order as the processing principle based on the processing priority.

[0013] Furthermore, the working process of the deep purification unit is as follows: Obtaining an initial holding time of the product to be purified by the third high-temperature purification furnace and an initial hydrogen ratio of the third high-temperature purification furnace; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is increased upward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio reaches the maximum hydrogen ratio and the increase is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios is obtained when the hydrogen ratio is increased. Taking the holding time as a variable, the fixed holding time is increased upward based on the initial holding time, and the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time is obtained. This is repeated until the holding time reaches the maximum holding time and the increase is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is increased is obtained; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is reduced downward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio is reduced to the minimum hydrogen ratio and then the reduction is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios when the hydrogen ratio is reduced is obtained; Taking the holding time as a variable, the fixed holding time is reduced downward based on the initial holding time to obtain the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time. This process is repeated until the holding time is reduced to the minimum holding time and the reduction is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is reduced is obtained.

[0014] Furthermore, the working process of the deep purification unit also includes: Obtain the hydrogen ratio Ai and holding time test number Bj of the third high-temperature purification furnace, where i is the hydrogen test number corresponding to increasing or decreasing the hydrogen ratio, and j is the duration test number corresponding to increasing or decreasing the holding time. Associate the hydrogen ratio, holding time, and deep purification test step yield Yij to obtain an experimental matrix of the deep purification test step yield. The experimental matrix is ​​as follows: , where A1, A2…, Ai and B1, B2…Bj are the labels of the experimental matrix; Establish a plane rectangular coordinate system and record it as the holding time-deep purification test step yield rate coordinate system, where the X-axis unit of the holding time-deep purification test step yield rate coordinate system is minutes and the Y-axis unit is percentage. Construct a holding time-deep purification test yield rate polyline; A quadratic regression model was used to fit the holding time-deep purification test yield curve to obtain the hydrogen ratio and holding time corresponding to the maximum yield rate of the corresponding test step when the product to be purified was subjected to deep purification. The product to be purified was then subjected to the deep purification step again with the same hydrogen ratio and holding time to obtain the experimental step yield rate of the product to be purified during deep purification. If the yield rate of the corresponding experimental step during deep purification of the product to be purified is greater than or equal to the yield rate of the standard step of deep purification, the deep purification step is determined to be qualified, and the corresponding hydrogen ratio is recorded as the optimal hydrogen ratio, and the corresponding holding time is recorded as the optimal holding time; If the yield rate of the experimental step corresponding to the deep purification of the product to be purified is less than the average step yield rate of deep purification, repeat the above steps until the yield rate of the experimental step corresponding to deep purification is greater than or equal to the standard step yield rate of deep purification.

[0015] As another technical solution of the present invention, a high-temperature purification production line scheduling optimization method comprises: Step S10, obtaining production data of the product to be purified and initial purification data when the product to be purified is tested; Step S20, analyzing the initial purification data of the product to be purified in combination with the production data, and obtaining the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line; Step S30, sorting the yield rate priority of each step in the high-temperature purification production line to obtain the processing priority of each step in the high-temperature purification production line; Step S40: setting a corresponding detection order according to the processing priority of different steps, and then obtaining the initial data of deep purification of the product to be purified; Step S50, combining the initial data of deep purification to optimize the deep purification steps of the product to be purified and improve the yield rate of the corresponding steps of deep purification, obtain the optimal hydrogen ratio, optimal insulation time and experimental step yield rate of deep purification and visualize them.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention first obtains production data of the product to be purified and initial purification data when the product to be purified is tested. Then, the initial purification data of the product to be purified is analyzed in combination with the production data to obtain the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line. Based on the step yield rate and the final number of qualified products of the production line, the steps of the high-temperature purification production line are prioritized by yield rate to obtain the processing priority of each step in the high-temperature purification production line. The present invention realizes intelligent sorting of abnormal steps in the high-temperature purification process of the product to be purified; 2. The present invention sets the corresponding detection order according to the processing priority of different steps, and then obtains the initial data of deep purification of the product to be purified. Combined with the initial data of deep purification, the deep purification steps of the product to be purified are optimized and the yield rate of the corresponding steps of deep purification is improved, and the optimal hydrogen ratio, optimal insulation time and experimental step yield rate of deep purification are obtained. The present invention can quickly debug and obtain the optimal data in the high-temperature purification process of the product to be purified. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0018] Figure 1 is a block diagram of the overall system of the present invention; Figure 2 This is a flow chart of a production line for high-temperature purification of the product to be purified in the present invention; Figure 3 This is an example graph of the holding time-deep purification test yield rate line in the present invention; Figure 4 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0019] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] For example 1, please refer to Figure 1-Figure 3 As shown, the technical solution provided by the present invention is: a high-temperature purification production line scheduling optimization system, including a data acquisition module, a data storage module, a basic data analysis module, a priority sorting module, an analysis and optimization module and a visualization display module; the data storage module is connected to the basic data analysis module, the priority sorting module and the analysis and optimization module; In this embodiment, the data storage module is used to store the daily output of the product to be purified in each production line during the past week after high-temperature purification. The data storage module is connected to the basic data analysis module. In specific implementation, each production line is equipped with four groups of high-temperature purification furnaces. The first high-temperature purification furnace is used to extract impurities from the product to be purified, the second high-temperature purification furnace is used to perform pre-purification on the product to be purified, the third high-temperature purification furnace is used to perform deep purification on the product to be purified, and the fourth high-temperature purification furnace is used to perform graphitization on the product to be purified. Specifically, the data acquisition module is used to obtain initial purification data when the product to be purified is tested, and send the initial purification data to the basic data analysis module; It should be noted that the initial purification data is the number of waste products caused by each step in different production lines, namely the number of impurity extraction waste, the number of pre-purification waste, the number of deep purification waste and the number of graphitization waste; in reality, the products to be purified in all production lines are from the same batch. Specifically, the products to be purified are cooled after each step is completed, and then the number of abnormal products to be purified generated in each step is counted, which are recorded as the number of impurity extraction waste, the number of pre-purification waste, the number of deep purification waste and the number of graphitization waste, respectively.

[0021] In this embodiment, the basic data analysis module is used to analyze the initial purification data of the product to be purified. The initial purification data analysis process is as follows: Obtain the daily output of the product to be purified for high-temperature purification in each production line in the past week, add up the daily outputs of the product to be purified, and take the average value to obtain the average daily output of the product to be purified in each production line; If the average daily output of any production line is greater than the standard average daily output, the average daily output of the corresponding production line is determined to be qualified; if the average daily output of any production line is less than or equal to the standard average daily output, the average daily output of the corresponding production line is determined to be unqualified, and the process proceeds to the next step; wherein, the amount of product to be purified input into each production line is the same, and all are the same batch of product to be purified; Obtaining initial purification data of the product to be purified, and obtaining the step yield rate of the product to be purified in each step of the high-temperature purification production line based on the initial purification data; At the same time, the number of products to be purified that are qualified in the graphitization step is taken as the final qualified number of products to be purified; In the specific implementation, 100 pieces of products to be purified are extracted from the same batch of products to be purified as the total number of products to be purified. The products to be purified are input into the first high-temperature purification furnace for the impurity extraction step. The detection shows that the number of impurity extraction waste products is 5 pieces, and the number of products to be purified that are qualified in the impurity extraction step is 95 pieces. The impurity extraction step yield rate is 95%; the products to be purified that are qualified in the impurity extraction are input into the second high-temperature purification furnace for the pre-purification step. The detection shows that the number of pre-purification waste products is 7 pieces, and the number of products to be purified that are qualified in the pre-purification step is 88 pieces. The yield rate of the pre-purification step was 92.6%. The qualified pre-purification products to be purified were input into the third high-temperature purification furnace for the deep purification step. The detection showed that the number of deep purification waste products was 9, and the number of corresponding qualified products to be purified in the deep purification step was 79. The yield rate of the deep purification step was 89.8%. The qualified deep purification products to be purified were input into the fourth high-temperature purification furnace for the graphitization step. The detection showed that the number of graphitized waste products was 11, and the number of corresponding qualified products to be purified in the graphitization step was 68. The yield rate of the graphitization step was 86.1%. The basic data analysis module sends the step yield rates of the products to be purified corresponding to different steps in the production line and the final number of qualified products of the production line to the priority sorting module.

[0022] Furthermore, the data storage module is also used to store standard good product data of the product to be purified and average good product data of the same type of product to be purified in the industry; Among them, the standard yield data of the product to be purified include the standard total yield rate and the standard step yield rate, the standard step yield rate is the standard step yield rate of impurity extraction, the standard step yield rate of pre-purification, the standard step yield rate of deep purification and the standard step yield rate of graphitization; the average yield data of the product to be purified include the average total yield rate and the average step yield rate, the average step yield rate includes the average step yield rate of impurity extraction, the average step yield rate of pre-purification, the average step yield rate of deep purification and the average step yield rate of graphitization; It should be noted that the standard yield data of the product to be purified is specifically the minimum yield rate after the product to be purified undergoes high-temperature purification, and the average yield data of the product to be purified is specifically the average step yield rate corresponding to qualified products to be purified in the industry. Therefore, the standard total yield rate is lower than the average total yield rate, and the standard step yield rate corresponding to each step is also lower than the average step yield rate corresponding to the step.

[0023] In this embodiment, the priority sorting module is used to prioritize the yield rate of each step of the high-temperature purification production line. The priority sorting process is as follows: Obtain the final qualified product number of the product to be purified, and divide the final qualified product number by the total number of products to be purified to obtain the total yield rate of the product to be purified; When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the corresponding processing priority is set according to the sequence of steps in the high-temperature purification of the product to be purified; Exemplarily, the processing priority of the impurity extraction step is set to the first priority, the processing priority of the pre-purification step is set to the second priority, the processing priority of the deep purification step is set to the third priority, and the processing priority of the graphitization step is set to the fourth priority; wherein the processing priority of the first priority is greater than the processing priority of the second priority, the processing priority of the second priority is greater than the processing priority of the third priority, and the processing priority of the third priority is greater than the processing priority of the fourth priority; When the total yield rate of the product to be purified is greater than the standard total yield rate, the total yield rate is compared with the average total yield rate; If the total yield rate is greater than the average total yield rate, no operation is performed; if the total yield rate is less than or equal to the average total yield rate, proceed to the next step; Obtaining the step yields corresponding to all steps in the high-temperature purification process of the product to be purified, and comparing the step yields of all steps in the high-temperature purification process of the product to be purified with the corresponding standard step yields and the average step yield; If the step yield rate of a step is less than or equal to the corresponding standard step yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the processing priority of the corresponding step is set to high priority. If there are multiple steps with high priority, they are processed in the order of the steps when the product to be purified is subjected to high-temperature purification; If the step yield of a step is greater than the corresponding standard step yield, but the step yield of a step is less than or equal to the corresponding average step yield, the processing priority of the corresponding step is set to medium priority. If there are multiple steps with medium priority, they are processed in sequence according to the order of the steps during high-temperature purification of the product to be purified; If the step yield of a step is greater than the corresponding average step yield, it is determined that the processing priority of the corresponding step is set to a low priority; Specifically, high priority takes precedence over medium priority, which takes precedence over low priority. The processing principle is: processes are performed first according to the highest priority. If there are processes with the same priority, they are processed in the order of the steps for high-temperature purification of the product to be purified. The priority sorting module sends the processing priority of each step to the analysis and optimization module.

[0024] Furthermore, the data storage module is also used to store the maximum hydrogen ratio, minimum hydrogen ratio, maximum insulation time and minimum insulation time of the high-temperature purification furnace corresponding to all steps in the high-temperature purification process; Specifically, the protective gas of the third high-temperature purification furnace can be an argon-hydrogen mixture, a nitrogen-hydrogen mixture, or a carbon monoxide-carbon dioxide mixture. In this embodiment, the protective gas is an argon-hydrogen mixture; the maximum hydrogen ratio is the maximum ratio of hydrogen content to the argon-hydrogen mixture; Specifically, the data acquisition module is further used to obtain the initial data of deep purification of the product to be purified, and send the initial data of deep purification to the analysis and optimization module; Among them, the initial data of deep purification include the initial insulation time when the third high-temperature purification furnace is used to keep the product to be purified warm and the initial hydrogen ratio of the third high-temperature purification furnace; the initial hydrogen ratio is the ratio between hydrogen and argon when the product to be purified is subjected to high-temperature purification in the deep purification step, which is a fixed value.

[0025] In this example, only the deep purification step of the product to be purified during high-temperature purification is analyzed. The analysis and optimization module includes a process analysis unit and a deep purification unit. The process analysis unit is used to set the corresponding detection sequence according to the processing priority of different steps. The setting process is as follows: When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the process analysis unit uses the order of steps in the high-temperature purification of the product to be purified as the detection order; When the total yield of the product to be purified is greater than the standard total yield, the process analysis unit uses the processing principle of processing priority as the inspection order; The process analysis unit sends the detection sequence to the deep purification unit, which is used to optimize and improve the yield rate of the corresponding deep purification steps. The working process is as follows: Obtaining an initial holding time of the product to be purified by the third high-temperature purification furnace and an initial hydrogen ratio of the third high-temperature purification furnace; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is increased upward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio reaches the maximum hydrogen ratio and the increase is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios is obtained when the hydrogen ratio is increased. Taking the holding time as a variable, the fixed holding time is increased upward based on the initial holding time, and the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time is obtained. This is repeated until the holding time reaches the maximum holding time and the increase is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is increased is obtained; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is reduced downward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio is reduced to the minimum hydrogen ratio and then the reduction is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios when the hydrogen ratio is reduced is obtained; Taking the holding time as a variable, the fixed holding time is reduced downward based on the initial holding time, and the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time is obtained. This is repeated until the holding time is reduced to the minimum holding time and the reduction is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is reduced is obtained; Obtain the hydrogen ratio Ai and holding time test number Bj of the third high-temperature purification furnace, where i is the hydrogen test number corresponding to increasing or decreasing the hydrogen ratio, and j is the duration test number corresponding to increasing or decreasing the holding time. Associate the hydrogen ratio, holding time, and deep purification test step yield Yij to obtain an experimental matrix of the deep purification test step yield. The experimental matrix is ​​as follows: , where A1, A2…, Ai and B1, B2…Bj are the labels of the experimental matrix; Establish a plane rectangular coordinate system and record it as the holding time-deep purification test step yield rate coordinate system, where the X-axis unit of the holding time-deep purification test step yield rate coordinate system is minutes and the Y-axis unit is percentage. Construct a holding time-deep purification test yield rate polyline; A quadratic regression model is used to fit the holding time-deep purification test yield curve to obtain the hydrogen ratio and holding time corresponding to the maximum yield rate of the corresponding test step when the product to be purified is subjected to deep purification. The product to be purified is then subjected to a deep purification step again using the same hydrogen ratio and holding time to obtain the experimental step yield rate of the product to be purified when deep purification is performed. Among them, fitting the experimental matrix using a quadratic regression model and finding the optimal solution is an existing technology; If the yield rate of the corresponding experimental step during deep purification of the product to be purified is greater than or equal to the yield rate of the standard step of deep purification, the deep purification step is determined to be qualified, and the corresponding hydrogen ratio is recorded as the optimal hydrogen ratio, and the corresponding holding time is recorded as the optimal holding time; If the yield rate of the experimental step corresponding to the deep purification of the product to be purified is less than the average step yield rate of deep purification, repeat the above steps until the yield rate of the experimental step corresponding to deep purification is greater than or equal to the standard step yield rate of deep purification; The analysis and optimization module sends the optimal hydrogen ratio, optimal insulation time and experimental step yield rate for deep purification to the visualization display module, and the visualization display module is used to visualize the optimal hydrogen ratio, optimal insulation time and experimental step yield rate for deep purification.

[0026] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.

[0027] Example 2, as Figure 4 As shown, based on another concept of the same invention, a high-temperature purification production line scheduling optimization method is now proposed, the method comprising: Step S10, obtaining production data of the product to be purified and initial purification data when the product to be purified is tested; Step S20, analyzing the initial purification data of the product to be purified in combination with the production data, and obtaining the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line; Step S30, sorting the yield rate priority of each step in the high-temperature purification production line to obtain the processing priority of each step in the high-temperature purification production line; Step S40: setting a corresponding detection order according to the processing priority of different steps, and then obtaining the initial data of deep purification of the product to be purified; Step S50, combining the initial data of deep purification to optimize the deep purification steps of the product to be purified and improve the yield rate of the corresponding steps of deep purification, obtain the optimal hydrogen ratio, optimal insulation time and experimental step yield rate of deep purification and visualize them.

[0028] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A high-temperature purification production line scheduling optimization system, characterized in that: It includes a data acquisition module, a data storage module, a basic data analysis module, a priority sorting module, an analysis and optimization module, and a visual display module. The data storage module is used to store the production data of the product to be purified; the data acquisition module is used to obtain the initial purification data when the product to be purified is tested; The basic data analysis module is used to analyze the initial purification data of the product to be purified, and to obtain the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line; the priority sorting module is used to prioritize the yield rate of each step in the high-temperature purification production line and obtain the processing priority of each step in the high-temperature purification production line; The data acquisition module is also used to obtain the initial data of deep purification of the product to be purified. The analysis and optimization module includes a process analysis unit and a deep purification unit. The process analysis unit is used to set the corresponding detection sequence according to the processing priority of different steps. The deep purification unit is used to optimize and improve the yield rate of the corresponding steps of deep purification. The visualization display module is used to visualize the optimal hydrogen ratio, optimal insulation time and yield rate of the experimental steps for deep purification.

2. A high-temperature purification production line scheduling optimization system according to claim 1, characterized in that: The production line is equipped with four sets of high-temperature purification furnaces. The first high-temperature purification furnace is used to extract impurities from the product to be purified, the second high-temperature purification furnace is used to perform pre-purification on the product to be purified, the third high-temperature purification furnace is used to perform deep purification on the product to be purified, and the fourth high-temperature purification furnace is used to perform graphitization on the product to be purified. The production data of the product to be purified in the data storage module includes: the daily output of the product to be purified during high-temperature purification on each production line in the past week, the standard yield data of the product to be purified and the average yield data of the same type of product to be purified in the industry, and the maximum hydrogen ratio, minimum hydrogen ratio, maximum holding time, and minimum holding time of the high-temperature purification furnace corresponding to all steps in the high-temperature purification process; The initial purification data are the amount of waste caused by each step in the different production lines, namely the amount of impurity extraction waste, the amount of pre-purification waste, the amount of deep purification waste and the amount of graphitization waste.

3. A high-temperature purification production line scheduling optimization system according to claim 2, characterized in that: The analysis process of the basic data analysis module is as follows: Obtain the daily output of the product to be purified for high-temperature purification in each production line in the past week, add up the daily outputs of the product to be purified, and take the average value to obtain the average daily output of the product to be purified in each production line; If the average daily output of any production line is greater than the standard average daily output, the average daily output of the corresponding production line is determined to be qualified; if the average daily output of any production line is less than or equal to the standard average daily output, the average daily output of the corresponding production line is determined to be unqualified and the process proceeds to the next step; Then, initial purification data of the product to be purified is obtained, and the step yield rate of the product to be purified in each step of the high-temperature purification production line is obtained based on the initial purification data; At the same time, the number of products to be purified that are qualified in the graphitization step is taken as the final qualified number of products to be purified.

4. A high-temperature purification production line scheduling optimization system according to claim 3, characterized in that: The standard yield data of the product to be purified includes the standard total yield and the standard step yield. The standard step yield is the standard step yield of impurity extraction, the standard step yield of pre-purification, the standard step yield of deep purification, and the standard step yield of graphitization. The average yield data of the product to be purified includes the average total yield and the average step yield. The average step yield includes the average step yield of impurity extraction, the average step yield of pre-purification, the average step yield of deep purification and the average step yield of graphitization.

5. The high-temperature purification production line scheduling optimization system according to claim 1, characterized in that: The working process of the prioritization module is as follows: Obtain the final qualified product number of the product to be purified, and divide the final qualified product number by the total number of products to be purified to obtain the total yield rate of the product to be purified; When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the corresponding processing priority is set according to the sequence of steps in the high-temperature purification of the product to be purified; When the total yield rate of the product to be purified is greater than the standard total yield rate, the total yield rate is compared with the average total yield rate; If the total yield rate is greater than the average total yield rate, no action is taken; If the total yield rate is less than or equal to the average total yield rate, proceed to the next step; Obtaining the step yields corresponding to all steps in the high-temperature purification process of the product to be purified, and comparing the step yields of all steps in the high-temperature purification process of the product to be purified with the corresponding standard step yields and the average step yield; If the step yield rate of a step is less than or equal to the corresponding standard step yield rate, the high-temperature purification of the product to be purified is determined to be unqualified, and the processing priority of the corresponding step is set to high priority. If there are multiple steps with high priority, they are processed in the order of the steps when the product to be purified is subjected to high-temperature purification; If the step yield of a step is greater than the corresponding standard step yield, but the step yield of a step is less than or equal to the corresponding average step yield, the processing priority of the corresponding step is set to medium priority. If there are multiple steps with medium priority, they are processed in sequence according to the order of the steps during high-temperature purification of the product to be purified; If the step yield of a step is greater than the corresponding average step yield, it is determined that the processing priority of the corresponding step is set to a low priority; Among them, the processing priority of the first priority is greater than the processing priority of the second priority, the processing priority of the second priority is greater than the processing priority of the third priority, and the processing priority of the third priority is greater than the processing priority of the fourth priority.

6. A high-temperature purification production line scheduling optimization system according to claim 1, characterized in that: The initial data of deep purification include the initial insulation time of the third high-temperature purification furnace when the product to be purified is kept warm and the initial hydrogen ratio of the third high-temperature purification furnace; the initial hydrogen ratio is the ratio between hydrogen and argon when the product to be purified is subjected to high-temperature purification in the deep purification step.

7. A high-temperature purification production line scheduling optimization system according to claim 6, characterized in that: The working process of the process analysis unit is as follows: When the total yield rate of the product to be purified is less than or equal to the standard total yield rate, the process analysis unit uses the order of steps in the high-temperature purification of the product to be purified as the detection order; When the total yield of the product to be purified is greater than the standard total yield, the process analysis unit takes the detection order as the processing principle based on the processing priority.

8. A high-temperature purification production line scheduling optimization system according to claim 7, characterized in that: The working process of the deep purification unit is as follows: Obtaining an initial holding time of the product to be purified by the third high-temperature purification furnace and an initial hydrogen ratio of the third high-temperature purification furnace; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is increased upward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio reaches the maximum hydrogen ratio and the increase is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios is obtained when the hydrogen ratio is increased. Taking the holding time as a variable, the fixed holding time is increased upward based on the initial holding time, and the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time is obtained. This is repeated until the holding time reaches the maximum holding time and the increase is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is increased is obtained; Taking the initial holding time as the quantitative value and the hydrogen ratio as the variable, the fixed hydrogen ratio is reduced downward based on the initial hydrogen ratio to obtain the test step yield rate corresponding to the deep purification. This is repeated until the hydrogen ratio is reduced to the minimum hydrogen ratio and then the reduction is stopped. The test step yield rate corresponding to the deep purification of all hydrogen ratios when the hydrogen ratio is reduced is obtained; Taking the holding time as a variable, the fixed holding time is reduced downward based on the initial holding time to obtain the yield rate of the deep purification test step at different hydrogen ratios under the corresponding holding time. This process is repeated until the holding time is reduced to the minimum holding time and the reduction is stopped. The yield rate of the deep purification test step corresponding to different hydrogen ratios under all holding times when the holding time is reduced is obtained.

9. A high-temperature purification production line scheduling optimization system according to claim 8, characterized in that: The working process of the deep purification unit also includes: Obtain the hydrogen ratio Ai and holding time test number Bj of the third high-temperature purification furnace, where i is the hydrogen test number corresponding to increasing or decreasing the hydrogen ratio, and j is the duration test number corresponding to increasing or decreasing the holding time. Associate the hydrogen ratio, holding time, and deep purification test step yield Yij to obtain an experimental matrix of the deep purification test step yield. The experimental matrix is ​​as follows: , where A1, A2…, Ai and B1, B2…Bj are the labels of the experimental matrix; Establish a plane rectangular coordinate system and record it as the holding time-deep purification test step yield rate coordinate system, where the X-axis unit of the holding time-deep purification test step yield rate coordinate system is minutes and the Y-axis unit is percentage. Construct a holding time-deep purification test yield rate polyline; A quadratic regression model was used to fit the holding time-deep purification test yield curve to obtain the hydrogen ratio and holding time corresponding to the maximum yield rate of the corresponding test step when the product to be purified was subjected to deep purification. The product to be purified was then subjected to the deep purification step again with the same hydrogen ratio and holding time to obtain the experimental step yield rate of the product to be purified during deep purification. If the yield rate of the corresponding experimental step during deep purification of the product to be purified is greater than or equal to the yield rate of the standard step of deep purification, the deep purification step is determined to be qualified, and the corresponding hydrogen ratio is recorded as the optimal hydrogen ratio, and the corresponding holding time is recorded as the optimal holding time; If the yield rate of the experimental step corresponding to the deep purification of the product to be purified is less than the average step yield rate of deep purification, repeat the above steps until the yield rate of the experimental step corresponding to deep purification is greater than or equal to the standard step yield rate of deep purification.

10. A high-temperature purification production line scheduling optimization method, characterized in that: A high-temperature purification production line scheduling optimization system according to any one of claims 1 to 9, the method comprising: Step S10, obtaining production data of the product to be purified and initial purification data when the product to be purified is tested; Step S20, analyzing the initial purification data of the product to be purified in combination with the production data, and obtaining the step yield rate of the product to be purified at different steps in the production line and the final number of qualified products of the production line; Step S30, sorting the yield rate priority of each step in the high-temperature purification production line to obtain the processing priority of each step in the high-temperature purification production line; Step S40: setting a corresponding detection order according to the processing priority of different steps, and then obtaining the initial data of deep purification of the product to be purified; Step S50, combining the initial data of deep purification to optimize the deep purification steps of the product to be purified and improve the yield rate of the corresponding steps of deep purification, obtain the optimal hydrogen ratio, optimal insulation time and experimental step yield rate of deep purification and visualize them.

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