Supply production management system and method of battery manufacturing material

Abstract

The invention discloses a supply production management system and method for a battery manufacturing material, and relates to the technical field of production management, and the system collects flow data in a battery manufacturing process, and divides the battery manufacturing process into three process ends: a supply end, a manufacturing end and a sales end; an information sharing platform for battery manufacturing is built, and each process end inputs working data into the information sharing platform and periodically updates the working data; analyzing the working data of the three process ends to obtain an influence relationship among the three process ends, extracting workloads of the three process ends, and constructing a battery manufacturing relationship circle according to the influence relationship; and respectively performing anomaly analysis on the three process ends, inputting main characteristics into the battery manufacturing relation circle when judging that the process ends are abnormal, and adjusting the working data of the process ends which are not abnormal by utilizing the influence relation among the three process ends in the battery manufacturing relation circle.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to a supply production management system and method for battery manufacturing materials. Background Art

[0002] The raw materials of early batteries (such as lead-acid batteries) were relatively simple, mainly lead and sulfuric acid. With the development of battery technology, especially the emergence of lithium batteries, the supply of raw materials began to shift towards lithium salts, cobalt salts, etc. With the rise of the new energy vehicle industry, the requirements for battery energy density and cost are getting higher and higher. The supply side has increased its investment in the research and development and production of new positive electrode materials such as NCM and NCA. During the period of 2000-2010, NCM materials gradually moved from the laboratory to industrialization, and many material suppliers began to mass produce NCM materials in different proportions. Information processing at each link in the battery manufacturing process is crucial to battery quality and production. With the development of Internet technology, the channels for battery sales have gradually expanded from the traditional offline dealer model to online platforms. Online sales platforms can more conveniently display information such as the performance, specifications and prices of battery products, while facilitating consumers to compare and purchase. As sales information is generated faster and changes occur more frequently, changes in any process end during battery production will affect the work of other process ends. However, most manufacturers currently only have one-to-one information communication and processing to deal with this impact, and need to send adjustment information to the next process end in sequence according to the process, which greatly wastes processing time and causes a lot of unnecessary losses. When an abnormality occurs in the battery production process, how to extract the abnormal information in a timely manner and adjust one's own working data quickly is of vital importance to battery manufacturing. Summary of the invention

[0003] The object of the present invention is to provide a supply production management system and method for battery manufacturing materials to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions: A method for managing the supply and production of battery manufacturing materials, the method comprising the following steps: S100, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end; collect communication data of each process end in the battery manufacturing process, build an information sharing platform for battery manufacturing, and each process end inputs work data into the information sharing platform and performs periodic updates; Furthermore, the specific steps for each process end to input the work data into the information sharing platform and perform periodic updates are as follows: S101, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end, collect the communication data of each process end in the battery manufacturing process, and obtain the number of supply ends as n1, the number of manufacturing ends as n2, and the number of sales ends as n3. Collect the communication data of each supply end and the other two process ends in history to obtain the communication object as ,in Indicates the supply side, Indicates the process end that communicates with the supply end except the supply end; obtains the communication object end of n1 supply ends; establishes an information channel for the process end that communicates with the supply end, and uses the information channel to exchange and share information; uses the same method to establish an information channel for communication on each manufacturing end and sales end; S102, after constructing the information channels between all process ends, extract the working data of each process end, mark all process ends with characters, and mark the supply end as , the manufacturing end is marked as , the sales end is marked as ; The extracted work data of each process end is stored separately according to the tag, and the extracted work data is shared with the communication object by using the information channel of each process end; an information sharing platform is built by using the separately stored work data and information channel; access restrictions are set for each separately stored work data in the information sharing platform, and when the visitor is determined to be a user in the information sharing platform and the correct tag of each process end is entered, the access rights of the process end corresponding to the tag are opened; S103. Collect the time when the working data of each process end changes in history, calculate the average time when the working data of each process end changes, and use the average time as the information update cycle Gt of each process end in the information sharing platform, so that each process end updates the working data in the information sharing platform according to the corresponding information update cycle.

[0005] After building an information sharing platform in the battery manufacturing process, the supply side, manufacturing side and sales side can obtain and transmit information in real time through the information sharing platform, reduce information delay and distortion, thereby optimizing the operation process of the entire supply chain and improving the efficiency of production and delivery. Avoid inventory backlogs or shortages caused by information asymmetry. The manufacturing side can reasonably arrange production and inventory based on accurate market demand information and supply information, reducing unnecessary inventory costs. The supply side can also accurately supply raw materials according to the production plan of the manufacturing side, reducing the storage and transportation costs of raw materials.

[0006] S200, extracting the work data of each process end in the constructed information sharing platform, analyzing the work data of the three process ends, obtaining the influence relationship between the three process ends, extracting the workload of the three process ends and constructing a battery manufacturing relationship circle according to the influence relationship; Furthermore, the specific steps of extracting the workload of the three process ends and constructing the battery manufacturing relationship circle according to the influence relationship are as follows: S201. Collect the work data of each process end in history on the information sharing platform, and arrange each process end to obtain a positive process circle of supply end → manufacturing end → sales end → supply end; extract all the work data when abnormalities occur in history, and judge the work data that changes when each process end is abnormal as abnormal work data. Set the type of abnormal work data of each process end as , It represents the 1st, 2nd, 3rd, ..., jth abnormal working data of each process end obtained by judgment, where j is a positive integer; when an abnormality occurs at each process end, the working data types that are changed when the next process end in the forward flow circle works normally are collected, and the number of working data types that are changed when each abnormal working data of the abnormal process end causes the next normal process end to be extracted is , Indicates the number of types of working data that are changed in the next normal process end due to the 1st, 2nd, 3rd, ...kth abnormal working data in the abnormal process end, and the working data type with the largest number of changes in the normal process end is taken as the main feature of the process end where the abnormality occurs; S202, collecting the main characteristic data values ​​of each process end when an abnormality occurs in the history and the working data value with the largest change in the next normal process end in the information sharing platform, taking the main characteristic data value of the process end with the abnormality as the independent variable, and the working data value with the largest change in the next process end as the variable, drawing a curve graph, and fitting the curve in the curve graph using a linear regression algorithm to obtain the influence function F of each process end on the next process end, and constructing a battery manufacturing positive relationship circle using the order of each process end in the forward process circle and the corresponding influence function; S203. After constructing the battery manufacturing forward relationship circle, calculate the inverse function of each process end influence function in the battery manufacturing forward relationship circle, use the inverse function mapping to obtain the reverse influence function of each process end on the previous process end, and construct the battery manufacturing reverse relationship circle as sales end → manufacturing end → supply end → sales end; combine the generated battery manufacturing forward relationship circle and battery manufacturing reverse relationship circle to generate a battery manufacturing relationship circle.

[0007] By using the battery manufacturing relationship circle, we can clearly get the influence relationship between the three process ends. By analyzing the influence of the supply end on the manufacturing end, manufacturers can accurately grasp the supply of raw materials. Understanding the influence of the manufacturing end on the sales end helps to reasonably arrange the connection between production and sales. Analyzing the influence of the feedback from the sales end on the supply end and the manufacturing end can enable manufacturers to determine production and supply based on sales.

[0008] S300, extract the number of types of battery manufacturing materials, collect the number of supply terminals that supply each manufacturing material by material type, analyze each battery manufacturing material combination, obtain the supply quantity of each material during normal production, judge the main characteristics of each supply terminal when supplying the corresponding material, issue an alarm when a supply abnormality occurs, and input the main characteristics into the battery manufacturing relationship circle; Furthermore, the specific steps for judging the main characteristics of each supplier when supplying the corresponding material are as follows: S301, extract the number of types of battery manufacturing materials, collect the number of supply ends that supply each manufacturing material by material type, obtain the amount of material that needs to be supplied by the corresponding supply end of each manufacturing material according to the combination of each battery manufacturing material, and obtain the standard supply ratio of each material supply end according to the combination of battery manufacturing materials: , Indicates the standard supply ratio of the 1st, 2nd, 3rd, ..., kth material in battery manufacturing corresponding to the supply side, where k is a positive integer; the supply quantity of each material at the supply side is collected in real time on the information sharing platform, and the real-time material supply ratio is calculated. When the real-time supply ratio is different from the standard supply ratio, the corresponding supply side issues an alarm message; S302. When a supply ratio warning is issued, extract the main features in the working data of the warning supply end to determine whether the main features have changed. When the main features have changed, determine that the supply end is working abnormally, and input the changed main features into the battery manufacturing relationship circle.

[0009] S400, collecting historical production abnormality data when the manufacturing end uses manufacturing materials to produce batteries, extracting abnormal features from the production abnormality data, and calculating the abnormal threshold of the manufacturing end according to the abnormal features; collecting abnormal features of the manufacturing end during battery manufacturing in real time, using the abnormal threshold to judge and warn the real-time abnormal features, and inputting the main features into the battery manufacturing relationship circle; Furthermore, the specific steps of using abnormal thresholds to judge real-time abnormal features and issue warnings are as follows: S401, collect the production abnormality data when the manufacturing end uses the manufacturing materials to produce batteries in the history, judge the collected production abnormality data when the manufacturing end produces batteries in the history, calculate the change amount of each abnormal data when the abnormality occurs, take the abnormal data with the largest change amount as the abnormal feature of the manufacturing end, collect the abnormal feature data values ​​when the abnormality occurs in the manufacturing end in the history, and calculate the abnormal threshold of the manufacturing end. The formula is: , where In represents the calculated abnormal threshold of the manufacturing end, Pe represents the average value of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history, and St represents the standard deviation of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history; S402. Collect the abnormal feature data of the manufacturing end during production in real time, and use the calculated abnormal threshold to judge the real-time abnormal feature data. When the real-time abnormal feature data is greater than the abnormal threshold, it is judged that an abnormality has occurred on the manufacturing end and an early warning is issued. Then, the real-time main feature data of the manufacturing end where the abnormality has occurred is extracted, and the real-time main feature data is input into the battery manufacturing relationship circle.

[0010] S500, collecting historical working data of the sales end when selling the produced batteries, using the historical data to calculate the regular sales volume of the sales end, extracting the historical sales volume change data to calculate the change threshold, collecting the sales volume and change range of the sales end in real time, using the change threshold to predict the sales volume, using the prediction result to obtain the real-time main feature data value, and inputting the main feature into the battery manufacturing relationship circle; Furthermore, the specific steps of using the change threshold to predict sales volume are as follows: S501, collecting historical work data of the sales end when selling the produced batteries, using the historical work data of each year to determine the sales volume of the batteries in different time periods, and making a regular sales plan table for the sales end; calculating the sales volume change amplitude in adjacent time periods in the regular sales plan table, calculating the average of all change amplitudes, and using the average change amplitude as the sales volume change threshold; S502. Collect the sales volume of the sales end and the sales volume change value of the previous time period in real time, and use the regular sales plan table and the sales volume change threshold to make real-time judgments. When the real-time sales volume is not equal to the sales volume of the corresponding time in the regular sales plan table, and is not equal to the sales volume change value and the change threshold of the previous time period, it is judged that an abnormality has occurred at the sales end, and the sales volume of the next time period is predicted based on the change amplitude of the real-time sales end; use the predicted sales volume to obtain the main features of the sales end, and input the main features into the battery manufacturing relationship circle.

[0011] S600: When abnormal conditions occur in the three process ends and the information is input into the battery manufacturing relationship circle, the working data of the process ends that are not abnormal are adjusted by utilizing the influence relationship between the three process ends in the battery manufacturing relationship circle.

[0012] Furthermore, the specific steps for adjusting the working data of the process end that is not abnormal are as follows: S601. When abnormal conditions occur at the three process ends and the information is input into the battery manufacturing relationship circle, the main characteristic data of the process end where the abnormality occurs is used as the independent variable of the influence function, and the adjustment target value of the working data of the process end where the abnormality does not occur is calculated according to the influence function of two directions in the battery manufacturing relationship circle. The formula is: ; In the formula, Indicates the adjustment target value of the next process end where the abnormal process end occurs. Indicates the adjustment target value of the process end before the abnormal process end. Represents the positive influence function of the abnormal process end. It represents the reverse influence function of the process end where the abnormality occurs, B is the main characteristic data value of the process end where the abnormality occurs, and the working data of the process end where the abnormality does not occur is adjusted to the target value.

[0013] The constructed information sharing platform and battery manufacturing relationship circle can be used to quickly adjust each process end in the battery production process. When abnormalities occur in some process ends, the other process ends can quickly obtain abnormal information and adjust their own working data according to the influence function to avoid serious losses in battery production.

[0014] A supply production management system for battery manufacturing materials, the supply production management system includes a data collection module, an information sharing platform module, a battery manufacturing relationship circle module, an abnormality judgment module and an adjustment module; The data collection module is used to collect the working data of each process end during the battery manufacturing in history; The information sharing platform module is used to construct an information channel based on the communication data of each process end in history, and to store the working data of each process end separately to build an information sharing platform; The battery manufacturing relationship circle module is used to analyze the battery manufacturing process, obtain the mutual influence function and inverse function of each process end, respectively construct the positive and reverse relationship circles, and obtain the battery manufacturing relationship circle after combining; The abnormality judgment module is used to make real-time judgments on the working status of the three process ends respectively, and input the main features into the battery manufacturing relationship circle when an abnormality occurs in the process end; The adjustment module is used to adjust the working data of the process end where no abnormality occurs by using the main characteristic data value and the influence function of the abnormal process end when an abnormality occurs at the process end.

[0015] The battery manufacturing relationship circle module includes a battery manufacturing positive relationship circle unit and a battery manufacturing reverse relationship circle unit; The battery manufacturing positive relationship circle unit is used to analyze the battery manufacturing process, obtain the mutual influence function of each process end, and construct the battery manufacturing positive relationship circle; The battery manufacturing reverse relationship circle unit is used to calculate the inverse function of the mutual influence function of each process end, and construct a battery manufacturing reverse relationship circle.

[0016] The abnormality judgment module includes a supply-side judgment unit, a manufacturing-side judgment unit, and a sales-side judgment unit; The supply-side judgment unit is used to judge the proportion of manufacturing materials that the supply side needs to supply, and when the proportion is different from the standard proportion, it is judged to be abnormal and an early warning is issued; The manufacturing end judgment unit is used to judge the working data of the manufacturing end during production, extract abnormal features, calculate abnormal thresholds, and use the abnormal thresholds to judge whether an abnormality occurs in the real-time manufacturing end and issue an early warning; The sales-end judgment unit is used to collect sales volumes in different time periods to form a regular sales plan table, and use the historical sales volume change amplitude to calculate the change threshold, use the regular sales plan table and the change threshold to judge the real-time sales volume, and predict the sales volume in the next time period.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. After building an information sharing platform in the battery manufacturing process, the present invention uses the information sharing platform so that the supply end, manufacturing end and sales end can obtain and transmit information in real time, reduce information delay and distortion, thereby optimizing the operation process of the entire supply chain and improving the efficiency of production and delivery.

[0018] 2. The present invention utilizes the battery manufacturing relationship circle to clearly obtain the influence relationship between the three process ends, and realizes rapid adjustment of each process end in the battery production process. When abnormalities occur in some process ends, the remaining process ends can quickly obtain abnormal information and adjust their own working data according to the influence function to avoid serious losses in battery production. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A module distribution diagram of a supply production management system for battery manufacturing materials of the present invention; Figure 2 A schematic diagram of the steps of a supply production management method for battery manufacturing materials of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution. A method for managing the supply and production of battery manufacturing materials, the method comprising the following steps: S100, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end; collect communication data of each process end in the battery manufacturing process, build an information sharing platform for battery manufacturing, and each process end inputs work data into the information sharing platform and performs periodic updates; The specific steps for each process end to input work data into the information sharing platform and perform periodic updates are: S101, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end, collect the communication data of each process end in the battery manufacturing process, and obtain the number of supply ends as n1, the number of manufacturing ends as n2, and the number of sales ends as n3. Collect the communication data of each supply end and the other two process ends in history to obtain the communication object as ,in Indicates the supply side, Indicates the process end that communicates with the supply end except the supply end; obtains the communication object end of n1 supply ends; establishes an information channel for the process end that communicates with the supply end, and uses the information channel to exchange and share information; uses the same method to establish an information channel for communication on each manufacturing end and sales end; S102, after constructing the information channels between all process ends, extract the working data of each process end, mark all process ends with characters, and mark the supply end as , the manufacturing end is marked as , the sales end is marked as ; The extracted work data of each process end is stored separately according to the tag, and the extracted work data is shared with the communication object by using the information channel of each process end; an information sharing platform is built by using the separately stored work data and information channel; access restrictions are set for each separately stored work data in the information sharing platform, and when the visitor is determined to be a user in the information sharing platform and the correct tag of each process end is entered, the access rights of the process end corresponding to the tag are opened; S103. Collect the time when the working data of each process end changes in history, calculate the average time when the working data of each process end changes, and use the average time as the information update cycle Gt of each process end in the information sharing platform, so that each process end updates the working data in the information sharing platform according to the corresponding information update cycle.

[0022] After building an information sharing platform in the battery manufacturing process, the supply side, manufacturing side and sales side can obtain and transmit information in real time through the information sharing platform, reduce information delay and distortion, thereby optimizing the operation process of the entire supply chain and improving the efficiency of production and delivery. Avoid inventory backlogs or shortages caused by information asymmetry. The manufacturing side can reasonably arrange production and inventory based on accurate market demand information and supply information, reducing unnecessary inventory costs. The supply side can also accurately supply raw materials according to the production plan of the manufacturing side, reducing the storage and transportation costs of raw materials.

[0023] S200, extracting the work data of each process end in the constructed information sharing platform, analyzing the work data of the three process ends, obtaining the influence relationship between the three process ends, extracting the workload of the three process ends and constructing a battery manufacturing relationship circle according to the influence relationship; The specific steps to extract the workload of the three process ends and construct the battery manufacturing relationship circle according to the impact relationship are as follows: S201. Collect the work data of each process end in history on the information sharing platform, and arrange each process end to obtain a positive process circle of supply end → manufacturing end → sales end → supply end; extract all the work data when abnormalities occur in history, and judge the work data that changes when each process end is abnormal as abnormal work data. Set the type of abnormal work data of each process end as , It represents the 1st, 2nd, 3rd, ..., jth abnormal working data of each process end obtained by judgment, where j is a positive integer; when an abnormality occurs at each process end, the working data types that are changed when the next process end in the forward flow circle works normally are collected, and the number of working data types that are changed when each abnormal working data of the abnormal process end causes the next normal process end to be extracted is , Indicates the number of types of working data that are changed in the next normal process end due to the 1st, 2nd, 3rd, ...kth abnormal working data in the abnormal process end, and the working data type with the largest number of changes in the normal process end is taken as the main feature of the process end where the abnormality occurs; S202, collecting the main characteristic data values ​​of each process end when an abnormality occurs in the history and the working data value with the largest change in the next normal process end in the information sharing platform, taking the main characteristic data value of the process end with the abnormality as the independent variable, and the working data value with the largest change in the next process end as the variable, drawing a curve graph, and fitting the curve in the curve graph using a linear regression algorithm to obtain the influence function F of each process end on the next process end, and constructing a battery manufacturing positive relationship circle using the order of each process end in the forward process circle and the corresponding influence function; S203. After constructing the battery manufacturing forward relationship circle, calculate the inverse function of each process end influence function in the battery manufacturing forward relationship circle, use the inverse function mapping to obtain the reverse influence function of each process end on the previous process end, and construct the battery manufacturing reverse relationship circle as sales end → manufacturing end → supply end → sales end; combine the generated battery manufacturing forward relationship circle and battery manufacturing reverse relationship circle to generate a battery manufacturing relationship circle.

[0024] By using the battery manufacturing relationship circle, we can clearly get the influence relationship between the three process ends. By analyzing the influence of the supply end on the manufacturing end, manufacturers can accurately grasp the supply of raw materials. Understanding the influence of the manufacturing end on the sales end helps to reasonably arrange the connection between production and sales. Analyzing the influence of the feedback from the sales end on the supply end and the manufacturing end can enable manufacturers to determine production and supply based on sales.

[0025] S300, extract the number of types of battery manufacturing materials, collect the number of supply terminals that supply each manufacturing material by material type, analyze each battery manufacturing material combination, obtain the supply quantity of each material during normal production, judge the main characteristics of each supply terminal when supplying the corresponding material, issue an alarm when a supply abnormality occurs, and input the main characteristics into the battery manufacturing relationship circle; The specific steps to judge the main characteristics of each supplier when supplying the corresponding materials are: S301, extract the number of types of battery manufacturing materials, collect the number of supply ends that supply each manufacturing material by material type, obtain the amount of material that needs to be supplied by the corresponding supply end of each manufacturing material according to the combination of each battery manufacturing material, and obtain the standard supply ratio of each material supply end according to the combination of battery manufacturing materials: , Indicates the standard supply ratio of the 1st, 2nd, 3rd, ..., kth material in battery manufacturing corresponding to the supply side, where k is a positive integer; the supply quantity of each material at the supply side is collected in real time on the information sharing platform, and the real-time material supply ratio is calculated. When the real-time supply ratio is different from the standard supply ratio, the corresponding supply side issues an alarm message; S302. When a supply ratio warning is issued, extract the main features in the working data of the warning supply end to determine whether the main features have changed. When the main features have changed, determine that the supply end is working abnormally, and input the changed main features into the battery manufacturing relationship circle.

[0026] S400, collecting historical production abnormality data when the manufacturing end uses manufacturing materials to produce batteries, extracting abnormal features from the production abnormality data, and calculating the abnormal threshold of the manufacturing end according to the abnormal features; collecting abnormal features of the manufacturing end during battery manufacturing in real time, using the abnormal threshold to judge and warn the real-time abnormal features, and inputting the main features into the battery manufacturing relationship circle; The specific steps of using abnormal thresholds to judge real-time abnormal features and issue warnings are as follows: S401, collect the production abnormality data when the manufacturing end uses the manufacturing materials to produce batteries in the history, judge the collected production abnormality data when the manufacturing end produces batteries in the history, calculate the change amount of each abnormal data when the abnormality occurs, take the abnormal data with the largest change amount as the abnormal feature of the manufacturing end, collect the abnormal feature data values ​​when the abnormality occurs in the manufacturing end in the history, and calculate the abnormal threshold of the manufacturing end. The formula is: , where In represents the calculated abnormal threshold of the manufacturing end, Pe represents the average value of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history, and St represents the standard deviation of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history; S402. Collect the abnormal feature data of the manufacturing end during production in real time, and use the calculated abnormal threshold to judge the real-time abnormal feature data. When the real-time abnormal feature data is greater than the abnormal threshold, it is judged that an abnormality has occurred on the manufacturing end and an early warning is issued. Then, the real-time main feature data of the manufacturing end where the abnormality has occurred is extracted, and the real-time main feature data is input into the battery manufacturing relationship circle.

[0027] S500, collecting historical working data of the sales end when selling the produced batteries, using the historical data to calculate the regular sales volume of the sales end, extracting the historical sales volume change data to calculate the change threshold, collecting the sales volume and change range of the sales end in real time, using the change threshold to predict the sales volume, using the prediction result to obtain the real-time main feature data value, and inputting the main feature into the battery manufacturing relationship circle; The specific steps for predicting sales volume using change thresholds are: S501, collecting historical work data of the sales end when selling the produced batteries, using the historical work data of each year to determine the sales volume of the batteries in different time periods, and making a regular sales plan table for the sales end; calculating the sales volume change amplitude in adjacent time periods in the regular sales plan table, calculating the average of all change amplitudes, and using the average change amplitude as the sales volume change threshold; S502. Collect the sales volume of the sales end and the sales volume change value of the previous time period in real time, and use the regular sales plan table and the sales volume change threshold to make real-time judgments. When the real-time sales volume is not equal to the sales volume of the corresponding time in the regular sales plan table, and is not equal to the sales volume change value and the change threshold of the previous time period, it is judged that an abnormality has occurred at the sales end, and the sales volume of the next time period is predicted based on the change amplitude of the real-time sales end; use the predicted sales volume to obtain the main features of the sales end, and input the main features into the battery manufacturing relationship circle.

[0028] S600: When abnormal conditions occur in the three process ends and the information is input into the battery manufacturing relationship circle, the working data of the process ends that are not abnormal are adjusted by utilizing the influence relationship between the three process ends in the battery manufacturing relationship circle.

[0029] The specific steps to adjust the working data of the process end that is not abnormal are: S601. When abnormal conditions occur at the three process ends and the information is input into the battery manufacturing relationship circle, the main characteristic data of the process end where the abnormality occurs is used as the independent variable of the influence function, and the adjustment target value of the working data of the process end where the abnormality does not occur is calculated according to the influence function of two directions in the battery manufacturing relationship circle. The formula is: ; In the formula, Indicates the adjustment target value of the next process end where the abnormal process end occurs. Indicates the adjustment target value of the process end before the abnormal process end. Represents the positive influence function of the abnormal process end. It represents the reverse influence function of the process end where the abnormality occurs, B is the main characteristic data value of the process end where the abnormality occurs, and the working data of the process end where the abnormality does not occur is adjusted to the target value.

[0030] The constructed information sharing platform and battery manufacturing relationship circle can be used to quickly adjust each process end in the battery production process. When abnormalities occur in some process ends, the other process ends can quickly obtain abnormal information and adjust their own working data according to the influence function to avoid serious losses in battery production.

[0031] A supply production management system for battery manufacturing materials, the supply production management system includes a data collection module, an information sharing platform module, a battery manufacturing relationship circle module, an abnormality judgment module and an adjustment module; The data collection module is used to collect the working data of each process end during the battery manufacturing in history; The information sharing platform module is used to construct an information channel based on the communication data of each process end in history, and to store the working data of each process end separately to build an information sharing platform; The battery manufacturing relationship circle module is used to analyze the battery manufacturing process, obtain the mutual influence function and inverse function of each process end, respectively construct the positive and reverse relationship circles, and obtain the battery manufacturing relationship circle after combining; The abnormality judgment module is used to make real-time judgments on the working status of the three process ends respectively, and input the main features into the battery manufacturing relationship circle when an abnormality occurs in the process end; The adjustment module is used to adjust the working data of the process end where no abnormality occurs by using the main characteristic data value and the influence function of the abnormal process end when an abnormality occurs at the process end.

[0032] The battery manufacturing relationship circle module includes a battery manufacturing positive relationship circle unit and a battery manufacturing reverse relationship circle unit; The battery manufacturing positive relationship circle unit is used to analyze the battery manufacturing process, obtain the mutual influence function of each process end, and construct the battery manufacturing positive relationship circle; The battery manufacturing reverse relationship circle unit is used to calculate the inverse function of the mutual influence function of each process end, and construct a battery manufacturing reverse relationship circle.

[0033] The abnormality judgment module includes a supply-side judgment unit, a manufacturing-side judgment unit, and a sales-side judgment unit; The supply-side judgment unit is used to judge the proportion of manufacturing materials that the supply side needs to supply, and when the proportion is different from the standard proportion, it is judged to be abnormal and an early warning is issued; The manufacturing end judgment unit is used to judge the working data of the manufacturing end during production, extract abnormal features, calculate abnormal thresholds, and use the abnormal thresholds to judge whether an abnormality occurs in the real-time manufacturing end and issue an early warning; The sales-end judgment unit is used to collect sales volumes in different time periods to form a regular sales plan table, and use the historical sales volume change amplitude to calculate the change threshold, use the regular sales plan table and the change threshold to judge the real-time sales volume, and predict the sales volume in the next time period.

[0034] Embodiment: Now, the working process of a battery manufacturer is judged. Assume that the manufacturer has a single supply end g1, g2, g3; two manufacturing ends z1, z2; two sales ends x1, x2; the exchange data obtained is (g1, z2), (g2, z2), (z2, x2), etc., and the exchange data is used to generate an information channel and build an information sharing platform; The influence functions of the three process ends are calculated to obtain three influence functions: z=2×g+1, x=2.5×z+3.2, g=3×x+1.2; forming a positive relationship circle for battery manufacturing, and further calculating the inverse function of each influence function to construct a negative relationship circle for battery manufacturing; The abnormality judgments were made on the three process ends respectively, and it was found that the supply end g2 had an abnormality. g2 input the main feature into the battery manufacturing relationship circle. The main feature was that the material production volume was 20; The influence function and inverse function are used to calculate the adjustment target values ​​of the working data at the manufacturing and sales ends, which are 41 and 6.2; the working data at the two process ends are adjusted according to the adjustment target values.

[0035] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for supply and production management of battery manufacturing materials, characterized in that: The method comprises the following steps: S100, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end; collect communication data of each process end in the battery manufacturing process, build an information sharing platform for battery manufacturing, and each process end inputs work data into the information sharing platform and performs periodic updates; S200, extracting the work data of each process end in the constructed information sharing platform, analyzing the work data of the three process ends, obtaining the influence relationship between the three process ends, extracting the workload of the three process ends and constructing a battery manufacturing relationship circle according to the influence relationship; S300, extract the number of types of battery manufacturing materials, collect the number of supply terminals that supply each manufacturing material by material type, analyze each battery manufacturing material combination, obtain the supply quantity of each material during normal production, judge the main characteristics of each supply terminal when supplying the corresponding material, issue an alarm when a supply abnormality occurs, and input the main characteristics into the battery manufacturing relationship circle; S400, collecting historical production abnormality data when the manufacturing end uses manufacturing materials to produce batteries, extracting abnormal features from the production abnormality data, and calculating the abnormal threshold of the manufacturing end according to the abnormal features; collecting abnormal features of the manufacturing end during battery manufacturing in real time, using the abnormal threshold to judge and warn the real-time abnormal features, and inputting the main features into the battery manufacturing relationship circle; S500, collecting historical working data of the sales end when selling the produced batteries, using the historical data to calculate the regular sales volume of the sales end, extracting the historical sales volume change data to calculate the change threshold, collecting the sales volume and change range of the sales end in real time, using the change threshold to predict the sales volume, using the prediction result to obtain the real-time main feature data value, and inputting the main feature into the battery manufacturing relationship circle; S600: When abnormal conditions occur in the three process ends and the information is input into the battery manufacturing relationship circle, the working data of the process ends that are not abnormal are adjusted by utilizing the influence relationship between the three process ends in the battery manufacturing relationship circle.

2. The method for supply and production management of battery manufacturing materials according to claim 1, characterized in that: The specific steps for each process end in S100 to input the work data into the information sharing platform and perform periodic updates are: S101, collect process data in the battery manufacturing process, divide the battery manufacturing process into three process ends: supply end, manufacturing end and sales end, collect the communication data of each process end in the battery manufacturing process, and obtain the number of supply ends as n1, the number of manufacturing ends as n2, and the number of sales ends as n3. Collect the communication data of each supply end and the other two process ends in history to obtain the communication object as ,in Indicates the supply side, Indicates the process end that communicates with the supply end except the supply end; obtains the communication object end of n1 supply ends; establishes an information channel for the process end that communicates with the supply end, and uses the information channel to exchange and share information; uses the same method to establish an information channel for communication on each manufacturing end and sales end; S102, after constructing the information channels between all process ends, extract the working data of each process end, mark all process ends with characters, and mark the supply end as , the manufacturing end is marked as , the sales end is marked as ; The extracted working data of each process end is stored separately according to the tag, and the extracted working data is shared with the communication object through the information channel of each process end; Build an information sharing platform using separately stored work data and information channels; Access restrictions are set for each separately stored work data in the information sharing platform. When the visitor is determined to be a user in the information sharing platform and enters the correct tag of each process end, the access rights of the process end corresponding to the tag are opened; S103. Collect the time when the working data of each process end changes in history, calculate the average time when the working data of each process end changes, and use the average time as the information update cycle Gt of each process end in the information sharing platform, so that each process end updates the working data in the information sharing platform according to the corresponding information update cycle.

3. The method for supply and production management of battery manufacturing materials according to claim 2, characterized in that: The specific steps of extracting the workload of the three process ends in S200 and constructing a battery manufacturing relationship circle according to the influence relationship are as follows: S201. Collect the work data of each process end in history on the information sharing platform, and arrange each process end to obtain a positive process circle of supply end → manufacturing end → sales end → supply end; extract all the work data when abnormalities occur in history, and judge the work data that changes when each process end is abnormal as abnormal work data. Set the type of abnormal work data of each process end as , It represents the 1st, 2nd, 3rd, ..., jth abnormal working data of each process end obtained by judgment, where j is a positive integer; when an abnormality occurs at each process end, the working data types that are changed when the next process end in the forward flow circle works normally are collected, and the number of working data types that are changed when each abnormal working data of the abnormal process end causes the next normal process end to be extracted is , Indicates the number of types of working data that are changed in the next normal process end due to the 1st, 2nd, 3rd, ...kth abnormal working data in the abnormal process end, and the working data type with the largest number of changes in the normal process end is taken as the main feature of the process end where the abnormality occurs; S202, collecting the main characteristic data values ​​of each process end when an abnormality occurs in the history and the working data value with the largest change in the next normal process end in the information sharing platform, taking the main characteristic data value of the process end with the abnormality as the independent variable, and the working data value with the largest change in the next process end as the variable, drawing a curve graph, and fitting the curve in the curve graph using a linear regression algorithm to obtain the influence function F of each process end on the next process end, and constructing a battery manufacturing positive relationship circle using the order of each process end in the forward process circle and the corresponding influence function; S203. After constructing the battery manufacturing forward relationship circle, calculate the inverse function of each process end influence function in the battery manufacturing forward relationship circle, use the inverse function mapping to obtain the reverse influence function of each process end on the previous process end, and construct the battery manufacturing reverse relationship circle as sales end → manufacturing end → supply end → sales end; combine the generated battery manufacturing forward relationship circle and battery manufacturing reverse relationship circle to generate a battery manufacturing relationship circle.

4. The method for supply and production management of battery manufacturing materials according to claim 3, characterized in that: The specific steps of determining the main features of each supply end when supplying corresponding materials in S300 are: S301, extract the number of types of battery manufacturing materials, collect the number of supply ends that supply each manufacturing material by material type, obtain the amount of material that needs to be supplied by the corresponding supply end of each manufacturing material according to the combination of each battery manufacturing material, and obtain the standard supply ratio of each material supply end according to the combination of battery manufacturing materials: , Indicates the standard supply ratio of the 1st, 2nd, 3rd, ..., kth material in battery manufacturing corresponding to the supply side, where k is a positive integer; the supply quantity of each material at the supply side is collected in real time on the information sharing platform, and the real-time material supply ratio is calculated. When the real-time supply ratio is different from the standard supply ratio, the corresponding supply side issues an alarm message; S302. When a supply ratio warning is issued, extract the main features in the working data of the warning supply end to determine whether the main features have changed. When the main features have changed, determine that the supply end is working abnormally, and input the changed main features into the battery manufacturing relationship circle.

5. The method for supply and production management of battery manufacturing materials according to claim 3, characterized in that: The specific steps of using the abnormal threshold to judge the real-time abnormal characteristics and make an early warning in S400 are: S401, collect the production abnormality data when the manufacturing end uses the manufacturing materials to produce batteries in the history, judge the collected production abnormality data when the manufacturing end produces batteries in the history, calculate the change amount of each abnormal data when the abnormality occurs, take the abnormal data with the largest change amount as the abnormal feature of the manufacturing end, collect the abnormal feature data values ​​when the abnormality occurs in the manufacturing end in the history, and calculate the abnormal threshold of the manufacturing end. The formula is: , where In represents the calculated abnormal threshold of the manufacturing end, Pe represents the average value of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history, and St represents the standard deviation of the abnormal characteristic data value when the abnormality occurs in the manufacturing end in the collected history; S402. Collect the abnormal feature data of the manufacturing end during production in real time, and use the calculated abnormal threshold to judge the real-time abnormal feature data. When the real-time abnormal feature data is greater than the abnormal threshold, it is judged that an abnormality has occurred on the manufacturing end and an early warning is issued. Then, the real-time main feature data of the manufacturing end where the abnormality has occurred is extracted, and the real-time main feature data is input into the battery manufacturing relationship circle.

6. A method for supply and production management of battery manufacturing materials according to claim 3, characterized in that: The specific steps of using the change threshold to predict the sales volume in S500 are: S501, collecting historical work data of the sales end when selling the produced batteries, using the historical work data of each year to determine the sales volume of the batteries in different time periods, and making a regular sales plan table for the sales end; Calculate the sales volume change amplitudes in adjacent periods in the regular sales plan table, calculate the average of all change amplitudes, and use the average change amplitude as the sales volume change threshold; S502. Collect the sales volume of the sales end and the sales volume change value of the previous time period in real time, and use the regular sales plan table and the sales volume change threshold to make real-time judgments. When the real-time sales volume is not equal to the sales volume of the corresponding time in the regular sales plan table, and is not equal to the sales volume change value and the change threshold of the previous time period, it is judged that an abnormality has occurred at the sales end, and the sales volume of the next time period is predicted based on the change amplitude of the real-time sales end; use the predicted sales volume to obtain the main features of the sales end, and input the main features into the battery manufacturing relationship circle.

7. A method for supply and production management of battery manufacturing materials according to claim 6, characterized in that: The specific steps of adjusting the working data of the process end that is not abnormal in S600 are: S601. When abnormal conditions occur at the three process ends and the information is input into the battery manufacturing relationship circle, the main characteristic data of the process end where the abnormality occurs is used as the independent variable of the influence function, and the adjustment target value of the working data of the process end where the abnormality does not occur is calculated according to the influence function of two directions in the battery manufacturing relationship circle. The formula is: ； In the formula, Indicates the adjustment target value of the next process end where the abnormal process end occurs. Indicates the adjustment target value of the process end before the abnormal process end. Represents the positive influence function of the abnormal process end. It represents the reverse influence function of the process end where the abnormality occurs, B is the main characteristic data value of the process end where the abnormality occurs, and the working data of the process end where the abnormality does not occur is adjusted to the target value.

8. A supply production management system for battery manufacturing materials, characterized by: The supply production management system includes a data collection module, an information sharing platform module, a battery manufacturing relationship circle module, an abnormality judgment module and an adjustment module; The data collection module is used to collect the working data of each process end during the battery manufacturing in history; The information sharing platform module is used to construct an information channel based on the communication data of each process end in history, and to store the working data of each process end separately to build an information sharing platform; The battery manufacturing relationship circle module is used to analyze the battery manufacturing process, obtain the mutual influence function and inverse function of each process end, respectively construct the positive and reverse relationship circles, and obtain the battery manufacturing relationship circle after combining; The abnormality judgment module is used to make real-time judgments on the working status of the three process ends respectively, and input the main features into the battery manufacturing relationship circle when an abnormality occurs in the process end; The adjustment module is used to adjust the working data of the process end where no abnormality occurs by using the main characteristic data value and the influence function of the abnormal process end when an abnormality occurs at the process end.

9. A battery manufacturing material supply production management system according to claim 8, characterized in that: The battery manufacturing relationship circle module includes a battery manufacturing positive relationship circle unit and a battery manufacturing negative relationship circle unit; The battery manufacturing positive relationship circle unit is used to analyze the battery manufacturing process, obtain the mutual influence function of each process end, and construct the battery manufacturing positive relationship circle; The battery manufacturing reverse relationship circle unit is used to calculate the inverse function of the mutual influence function of each process end, and construct a battery manufacturing reverse relationship circle.

10. A battery manufacturing material supply production management system according to claim 8, characterized in that: The abnormality judgment module includes a supply-side judgment unit, a manufacturing-side judgment unit and a sales-side judgment unit; The supply-side judgment unit is used to judge the proportion of manufacturing materials that the supply side needs to supply, and when the proportion is different from the standard proportion, it is judged to be abnormal and an early warning is issued; The manufacturing end judgment unit is used to judge the working data of the manufacturing end during production, extract abnormal features, calculate abnormal thresholds, and use the abnormal thresholds to judge whether an abnormality occurs in the real-time manufacturing end and issue an early warning; The sales-end judgment unit is used to collect sales volumes in different time periods to form a regular sales plan table, and use the historical sales volume change amplitude to calculate the change threshold, use the regular sales plan table and the change threshold to judge the real-time sales volume, and predict the sales volume in the next time period.

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