A stamping die management method based on big data

Abstract

The present application relates to a stamping die management method based on big data, which includes the following steps: establishing a die management database, monitoring the working status of existing inventory dies, regularly maintaining existing inventory dies, and generating inventory die work record information; obtaining the design scheme of new dies in real time, and sending it to the die manufacturing department for die trial production, sending the trial-produced new dies to their corresponding parts production line for verification production, and collecting verification production data of new dies; regularly collecting inventory die work record information and verification production data of new dies, calculating and determining the production efficiency A and production cost B of each group of dies, sorting and screening each group of dies to obtain various types of dies required by the user, and generating a die inventory optimization plan according to the preset die inventory ratio. The present application has the effect of intelligently optimizing die inventory and improving stamping production efficiency.

Description

Technical Field

[0001] The present application relates to the field of mold management, and in particular to a stamping mold management method based on big data. Background Art

[0002] Auto parts are the various units that make up the whole car and a kind of product that serves the car. There are many kinds of auto parts. With the improvement of people's living standards, people's consumption of cars is increasing, and the market of auto parts is getting bigger and bigger. In recent years, auto parts manufacturers have also developed rapidly. As the foundation of the automobile industry, auto parts are a necessary factor to support the sustainable and healthy development of the automobile industry. In particular, the current automobile industry is carrying out independent development and innovation, and it needs a strong parts system to support it. Among them, the demand for general auto parts has increased year by year. How to improve the production efficiency of general parts and standard parts and save production costs is a problem that each OEM production enterprise needs to solve.

[0003] Stamping equipment often requires uninterrupted continuous production. The failure downtime rate of stamping equipment has always been an important factor restricting the development of stamping parts production. The main reason is that the molds and wearing parts of the stamping equipment are not maintained or replaced in time. If the maintenance work is done well, the downtime rate can be greatly reduced. However, the maintenance work in the stamping production process cannot play its due role due to the high mobility of technical personnel, forgetting to implement due to busyness, manual recording of maintenance content, and maintenance based on the feeling of the old master. , Leading to a high downtime rate of stamping equipment. In addition, when producing automotive parts, as the design work continues, the stamping equipment is constantly updated, resulting in multiple types of stamping dies used in a certain stamping process of the same automotive parts. Each group of molds has different designs and advantages. Therefore, on the basis of monitoring the use of molds, optimizing mold inventory is also a technical problem to be solved.

[0004] Regarding the above-mentioned related technologies, the usage status of molds is currently tracked and managed through manual management, and the mold inventory cannot be optimized according to the specific usage of the molds, which easily leads to low mold management efficiency, excessively high stamping production costs and low production efficiency. Summary of the invention

[0005] In order to solve the problem that the mold usage status is tracked and managed through manual management, and the mold inventory cannot be optimized according to the specific usage of the mold, which easily leads to low mold management efficiency, high stamping production costs and low production efficiency, the present application provides a stamping mold management method based on big data.

[0006] In the first aspect, the present application provides a stamping die management method based on big data, which adopts the following technical solution:

[0007] A stamping die management method based on big data includes the following steps:

[0008] Establish a mold management database, monitor the working status of existing inventory molds, regularly perform maintenance on existing inventory molds, and generate inventory mold work record information;

[0009] Obtain the design plan of the new mold in real time and send it to the mold manufacturing department for mold trial production. Send the trial-produced new mold to its corresponding parts production line for verification production, and collect verification production data of the new mold;

[0010] Regularly collect inventory mold work record information and verification production data of new molds, calculate and determine the production efficiency A and production cost B of each group of molds, sort and screen each group of molds to obtain the various types of molds required by the user, and generate a mold inventory optimization plan based on the preset mold inventory ratio.

[0011] Preferably, the establishment of a mold management database specifically includes the following steps:

[0012] Establish a database to input characteristic information of existing inventory molds, the characteristic information including production date information, coding information, service life information, processed parts information and work record information;

[0013] The inventory mold work record information generated after each existing inventory mold completes the production work is added to the feature information of the existing inventory mold in real time;

[0014] Pack and seal the characteristic information of scrapped molds;

[0015] Receive the design plan of the new mold in real time, enter the characteristic information of the new mold after the trial production of the new mold is completed, and add the verification production data generated during the verification production of the new mold to the characteristic information of the new mold in real time.

[0016] Preferably, the monitoring of the working status of the existing inventory molds, regular maintenance of the existing inventory molds, and generating inventory mold work record information specifically include the following steps:

[0017] Real-time acquisition of the working status of existing inventory molds, including idle, working and under maintenance;

[0018] When any mold is in operation, obtain its usage times, usage duration and product yield information in real time;

[0019] When any one of the number of times a mold is used, the length of time it is used, and the product yield rate information exceeds a preset number of times, length of time, or product yield rate threshold, a maintenance reminder message for the mold is generated and sent to the management personnel to perform maintenance on the mold;

[0020] After each use or maintenance of the mold, mold work record data and / or maintenance information is collected to generate inventory mold work record information.

[0021] Preferably, the process of sending the trial-produced new mold to its corresponding parts production line for verification production, and collecting and obtaining the verification production data of the new mold specifically includes the following steps:

[0022] Send the trial-produced new molds to their corresponding parts production lines for preliminary installation and debugging;

[0023] After installation and debugging are completed, product trial production is carried out, and the new mold is installed and adjusted based on the trial production results until the trial production yield of the parts production line meets the preset trial production qualified threshold, and the installation adjustment data is recorded;

[0024] After the installation and adjustment of the new mold is completed, the parts production line is started for verification production;

[0025] Monitor the working status of the new mold. When the usage time or usage frequency of the new mold exceeds the preset usage frequency threshold or usage time threshold of the new mold, stop the parts production line, generate maintenance reminder information of the mold and send it to the management personnel to perform maintenance on the new mold.

[0026] After the new mold is maintained, repeat the above steps until the new mold is scrapped;

[0027] Collect installation and adjustment data, work record data and maintenance information of new molds and package them to generate verification production data.

[0028] Preferably, the periodic collection of inventory mold work record information and verification production data of new molds, and calculation and determination of production efficiency A and production cost B of each group of molds specifically include the following steps:

[0029] Regularly collect work record information of inventory molds and verification production data of new molds. The collection cycle is set by the management personnel;

[0030] Clean the collected inventory mold work record information and the verification production data of new molds, and extract the usage data of each group of molds within the average service life cycle;

[0031] Calculate the production efficiency A of each group of molds according to the preset production efficiency calculation formula;

[0032] The production cost B of each group of molds is calculated according to the preset production cost calculation formula.

[0033] Preferably, the production efficiency calculation formula is calculated as:

[0034]

[0035] Among them, C is the total number of good products produced during the average service life of the group of molds, D is the average service life of the group of molds, and c i is the number of good products produced when this set of molds is used for the i-th time, d i is the usage time of the set of molds when used for the i-th time.

[0036] Preferably, the production cost calculation formula is:

[0037]

[0038] Among them, C is the total number of good products produced during the average service life of this group of molds, K is the total number of products produced during the average service life of this group of molds, E is the cost of materials consumed during the average service life of this group of molds, F is the production cost of this group of molds, G is the single maintenance cost of this group of molds, H is the number of maintenance times during the average service life of this group of molds; J is the equipment loss cost of a single processing of the production equipment adapted to this group of molds, which is set by the management personnel.

[0039] Preferably, generating a mold inventory optimization plan according to a preset mold inventory ratio specifically includes the following steps:

[0040] According to the production efficiency A and production cost B of each group of molds, sort and screen each group of molds to obtain high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part;

[0041] Calculate the required quantity of each type of molds according to the preset mold inventory ratio;

[0042] The existing inventory quantity of each type of molds is obtained through the database, and based on the demand quantity of each type of molds, supplementary demand information is generated for molds whose inventory quantity does not meet the demand quantity. For molds whose inventory quantity meets the demand quantity, maintenance demand information is generated. The supplementary demand information and maintenance demand information of each part are packaged to generate a mold inventory optimization plan.

[0043] Preferably, the method of sorting and screening each group of molds according to the production efficiency A and the production cost B of each group of molds to obtain the high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part specifically includes the following steps:

[0044] According to the production efficiency A and production cost B of each group of molds, each group of molds is sorted to generate a production efficiency sequence and a production cost sequence;

[0045] According to the production efficiency sequence, the mold with the highest production efficiency is selected as the high-efficiency mold;

[0046] According to the production cost sequence, the mold with the lowest production cost is selected as the low-cost mold;

[0047] According to the preset sorting score table, efficiency scores and cost scores are generated for various molds in the production efficiency sequence and production cost sequence based on the sorting score table, the efficiency scores and cost scores of each group of molds are added together to obtain a comprehensive score, and each group of molds is sorted based on the comprehensive score to generate a comprehensive sequence;

[0048] According to the comprehensive sequence, the mold with the highest comprehensive score is selected as the all-round mold.

[0049] In a second aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0050] A computer-readable storage medium, characterized in that it stores a computer program that can be loaded by a processor and execute any of the above methods.

[0051] In summary, the present application includes at least one of the following beneficial technical effects:

[0052] 1. By calculating the production efficiency and production cost of each group of molds, each group of molds can be classified and screened, and various mold type labels can be assigned. Then, based on the type of each group of molds and the preset mold inventory ratio, a mold inventory optimization plan is generated to achieve intelligent tracking and management of mold inventory and mold usage, thereby improving mold management efficiency;

[0053] 2. On the basis of regular optimization of existing mold inventory, when new mold research and development is implemented, the verification production data of new molds can be collected to generate inventory optimization plans for existing inventory molds and new molds, further improve the intelligence of mold management, and promote the linkage between mold research and development and inventory management, so that when parts are produced, they can match the mold group suitable for production according to the actual situation of the order. On the premise of meeting the order schedule, the stamping production efficiency is effectively improved and the stamping production cost is reduced, achieving the effect of intelligent optimization of mold inventory and improving stamping production efficiency;

[0054] 3. According to user needs, regularly collect inventory mold work record information to verify production data, and use data cleaning to clean the collected data information to achieve data preprocessing, which is helpful to extract the accuracy of various usage data within the average service life cycle of each group of molds, reduce the difficulty of data analysis and extraction, and ensure the accurate calculation of production efficiency A and production cost B of each group of molds, and then intelligently and efficiently plan and generate mold inventory optimization solutions, so that the mold inventory optimization solutions are more in line with the actual production needs of users;

[0055] 4. Generate production efficiency sequence and production cost sequence based on the production cost and production efficiency of each group of molds, and then determine high-efficiency molds and low-cost molds. Introduce a scoring mechanism to calculate the efficiency score and cost score of each group of molds, determine the comprehensive score of each group of molds, and select all-round molds, so as to facilitate the determination of mold inventory optimization plans based on the classification and screening results, so that users can determine the mold groups that meet their needs based on the labor requirements of the order in different production seasons, improve the parts production efficiency as much as possible, reduce the parts production cost, optimize the mold inventory plan, abandon and eliminate mediocre molds, and effectively connect the implementation of new molds while regularly optimizing the existing mold inventory structure, so as to realize the linkage between mold research and development and inventory management, and achieve the effect of intelligent optimization of mold inventory and improvement of stamping production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is a flow chart of a method for stamping die management in an embodiment of the present application;

[0057] Figure 2 is a flow chart of a method for establishing a mold management database in an embodiment of the present application;

[0058] Figure 3 is a flow chart of a method for monitoring the working status of inventory molds in an embodiment of the present application;

[0059] Figure 4 It is a flow chart of a method for collecting verification production data of a new mold in an embodiment of the present application;

[0060] Figure 5 is a flow chart of a method for calculating the production efficiency and production cost of each group of molds in an embodiment of the present application;

[0061] Figure 6 is a flow chart of a method for generating a mold inventory optimization solution in an embodiment of the present application;

[0062] Figure 7 It is a flow chart of the method for sorting and screening each group of molds in the embodiment of the present application. DETAILED DESCRIPTION

[0063] The following is combined with Figure 1-7 This application is described in further detail.

[0064] The present application embodiment discloses a stamping die management method based on big data. Figure 1 , a stamping die management method based on big data, comprising the following steps:

[0065] S1. Generate inventory mold work record information: establish a mold management database, monitor the working status of existing inventory molds, regularly perform maintenance on existing inventory molds, and generate inventory mold work record information;

[0066] S2. Collect verification production data of new molds: obtain the design plan of new molds in real time, and send it to the mold manufacturing department for mold trial production. Send the trial-produced new molds to their corresponding parts production lines for verification production, and collect verification production data of new molds;

[0067] S3. Generate mold inventory optimization plan: regularly collect inventory mold work record information and verification production data of new molds, calculate and determine the production efficiency A and production cost B of each group of molds, sort and screen each group of molds to obtain the various types of molds required by the user, and generate a mold inventory optimization plan based on the preset mold inventory ratio. By establishing a mold management database, continuously collecting and storing inventory mold work record information of existing inventory molds and verification production data of new molds, calculating the production efficiency and production cost of each group of molds, and then classifying and screening each group of molds, assigning each group of molds a corresponding type label, and then generating a mold inventory optimization plan based on the type of each group of molds according to the preset mold inventory ratio, intelligent tracking and management of mold inventory and mold usage status is achieved, improving mold management efficiency.

[0068] On the basis of regularly optimizing the existing mold inventory, when the research and development of new molds is implemented, the verification production data of the new molds is collected, and inventory optimization plans for existing inventory molds and new molds are generated to further improve the intelligence of mold management, promote the linkage between mold research and development and inventory management, so that when parts are produced, they can be matched with suitable mold groups according to the actual situation of the order. On the premise of meeting the order schedule, the stamping production efficiency is effectively improved and the stamping production cost is reduced, achieving the effect of intelligent optimization of mold inventory and improving stamping production efficiency.

[0069] Reference Figure 2 The above-mentioned establishment of mold management database specifically includes the following steps:

[0070] A1. Establish a database to input the characteristic information of existing inventory molds, including production date information, coding information, service life information, processed parts information and work record information;

[0071] A2. Supplement and update the characteristic information of existing inventory molds: the inventory mold work record information generated after each existing inventory mold completes the production work is supplemented into the characteristic information of the existing inventory molds in real time;

[0072] A3. Pack and seal the characteristic information of scrapped molds;

[0073] A4. Input the characteristic information of new molds: Receive the design plan of new molds in real time, input the characteristic information of new molds after the trial production of new molds is completed, and add the verification production data generated during the verification production of new molds into the characteristic information of new molds in real time. By establishing a mold management database, it is possible to continuously collect, update, and store the characteristic information of existing inventory molds and new molds, and package and seal the characteristic information of scrapped molds, which helps to improve the data accuracy of calculating the production cost and production efficiency of various molds, and helps to accurately and efficiently generate mold inventory optimization plans.

[0074] Reference Figure 3 The above-mentioned monitoring of the working status of the existing inventory molds, regular maintenance of the existing inventory molds, and generation of inventory mold work record information specifically include the following steps:

[0075] B1. Real-time acquisition of the working status of existing inventory molds, which includes three states: idle, working, and under maintenance;

[0076] B2. When any mold is in operation, obtain its usage times, usage duration and product yield information in real time;

[0077] B3. Perform maintenance on the mold: When any one of the usage times, usage time and product yield information of the mold exceeds the preset usage times threshold, usage time threshold or product yield threshold, a maintenance reminder message of the mold is generated and sent to the management personnel to perform maintenance on the mold;

[0078] B4. Generate inventory mold work record information: After each mold use or maintenance, collect mold work record data and / or maintenance information to generate inventory mold work record information. Among them, the work record data includes information on the number of uses, the length of use, the number of output products, the number of qualified output products, the product production yield, and material consumption data. Through the above steps, intelligent monitoring of inventory molds is achieved, which helps to improve mold management efficiency and achieve the effect of intelligent tracking and management of molds.

[0079] Reference Figure 4 The above-mentioned new mold produced by trial production is sent to its corresponding parts production line for verification and production. The collection and acquisition of verification production data of the new mold specifically includes the following steps:

[0080] C1. Preliminary installation and debugging of new molds: Send the trial-produced new molds to their corresponding parts production lines for preliminary installation and debugging;

[0081] C2. Conduct product trial production and install and adjust the new mold: After installation and commissioning, conduct product trial production and install and adjust the new mold based on the trial production results until the yield rate of the trial production product of the parts production line meets the preset trial production qualified threshold, and record the installation and adjustment data;

[0082] C3. Start the parts production line for verification production: After the installation and adjustment of the new mold is completed, start the parts production line for verification production;

[0083] C4. Monitor the working status of the new mold and perform maintenance: Monitor the working status of the new mold. When the usage time or usage frequency of the new mold exceeds the preset usage frequency threshold or usage time threshold of the new mold, stop the parts production line, generate maintenance reminder information of the mold and send it to the management personnel, and perform maintenance on the new mold;

[0084] C5. After the new mold is maintained, repeat the above steps until the new mold is scrapped;

[0085] C6. Packaging and generating verification production data: Collect the installation adjustment data, work record data and maintenance information of the new molds and pack them to generate verification production data. After a group of new molds are trial-produced and passed the quality inspection, they are installed on the corresponding parts production line for installation, debugging and trial production verification, and then verification production is carried out until the new molds are scrapped. During the verification production process, the installation adjustment data, work record data and maintenance information of the new molds are collected and packaged to generate verification production data, which lengthens the dimension of the new mold verification production test, helps to improve the accuracy of the verification production data, avoids the phenomenon of large errors in the calculation of the production cost and production efficiency of the new molds due to the single data sample, and ensures that the production performance of the group of new molds can be accurately obtained after the trial production of a new mold for a certain automotive part is completed, which helps to accurately calculate the production cost and production efficiency of the new mold in the future, helps to improve the accuracy of data calculation, improves the intelligence of mold management, and promotes the linkage between mold research and development and inventory management, so as to achieve the effect of intelligent optimization of mold inventory and improving stamping production efficiency and saving production costs.

[0086] Reference Figure 5 The above-mentioned regular collection of inventory mold work record information and verification production data of new molds, and calculation and determination of the production efficiency A and production cost B of each group of molds specifically include the following steps:

[0087] D1. Regularly collect inventory mold work record information and new mold verification production data. The collection cycle is set by the management personnel;

[0088] It should be noted that the characteristic information of the same model of scrapped and sealed molds is also within the extraction scope; the more molds of the same model there are, the more accurate the production efficiency A and production cost B calculated from the various usage data extracted from their characteristic information;

[0089] D2. Clean the collected data and obtain the usage data of each group of molds: clean the collected inventory mold work record information and the verification production data of new molds, and extract the usage data of each group of molds within the average service life cycle;

[0090] D3. Calculate the production efficiency A of each group of molds: Calculate the production efficiency A of each group of molds according to the preset production efficiency calculation formula;

[0091] D4. Calculate the production cost B of each group of molds: Calculate the production cost B of each group of molds according to the preset production cost calculation formula. According to user needs, regularly collect inventory mold work records and verify production data, use data cleaning to clean the collected data information, and implement data preprocessing, which is helpful to extract the accuracy of various usage data within the average service life cycle of each group of molds, reduce the difficulty of data analysis and extraction, ensure the accurate calculation of the production efficiency A and production cost B of each group of molds, and then intelligently and efficiently plan and generate mold inventory optimization solutions, so that the mold inventory optimization solutions are more in line with the actual production needs of users.

[0092] The above production efficiency calculation formula is calculated as:

[0093]

[0094] Among them, C is the total number of good products produced during the average service life of the group of molds, D is the average service life of the group of molds, and c i is the number of good products produced when this set of molds is used for the i-th time, d i is the usage time of the group of molds when it is used for the i-th time. First, the overall production efficiency of the molds during their average service life is calculated, and then the production efficiency of each group of molds is summed and averaged based on the work record data of each production, and then the production efficiency of each group of molds is calculated, which helps to improve the accuracy of the production efficiency calculation, so that the calculated production efficiency is more consistent with the actual production situation of the molds, and helps to sort and screen each group of molds in the future, so as to achieve the effect of intelligent optimization of mold inventory.

[0095] The above production cost calculation formula is:

[0096]

[0097] Among them, C is the total number of good products produced during the average service life of the group of molds, K is the total number of products produced during the average service life of the group of molds, E is the material cost consumed during the average service life of the group of molds, F is the production cost of the group of molds, G is the single maintenance cost of the group of molds, H is the number of maintenance times during the average service life of the group of molds; J is the equipment loss cost of a single processing of the production equipment adapted to the group of molds, which is set by the management personnel. Calculating the actual production cost of each group of molds from multiple dimensions such as material loss, mold cost, maintenance cost, and adaptation equipment loss helps to improve the accuracy of data calculation, so that the calculated production cost is more consistent with the actual production situation of the mold, and helps to sort and screen each group of molds in the future, so as to achieve the effect of intelligent optimization of mold inventory.

[0098] In addition, this application introduces the equipment loss cost of a single processing of the production equipment adapted to the mold. This is based on the fact that different sets of molds are adapted to different production equipment, and their costs vary greatly. The introduction of equipment loss costs makes the production cost calculation of each set of molds more reasonable and closer to actual production. For example, a set of molds is expensive to adapt to a certain production equipment, but its performance in the parts processing process is quite excellent in terms of material loss, processing accuracy, processing efficiency, etc., but its production loss rate is fast and its theoretical effective processing life is low. If calculated from material loss, mold cost, and maintenance cost, it is easy for this set of molds to have higher production efficiency and lower production cost, resulting in inaccurate data calculation, which in turn affects the mold inventory optimization plan.

[0099] Reference Figure 6 , generating a mold inventory optimization plan based on the preset mold inventory ratio specifically includes the following steps:

[0100] E1. Sort and select each group of molds: Sort and select each group of molds according to their production efficiency A and production cost B, and obtain high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part;

[0101] E2. Calculate the required quantity of each type of mold: Calculate the required quantity of each type of mold according to the preset mold inventory ratio, which is set by the management personnel;

[0102] E3. Generate mold inventory optimization plan: obtain the existing inventory quantity of each type of mold through the database, generate supplementary demand information for molds whose inventory quantity does not meet the demand quantity based on the demand quantity of each type of mold, generate maintenance demand information for molds whose inventory quantity meets the demand quantity, and package the supplementary demand information and maintenance demand information corresponding to each part to generate a mold inventory optimization plan. Based on the production efficiency A and production cost B of each group of molds, each group of molds is screened and classified to obtain efficient molds, low-cost molds and all-round molds corresponding to the production of each part, so that users can match the appropriate production mold group for the order in different application scenarios, and effectively improve the stamping production efficiency and reduce the stamping production cost while meeting the order schedule. The maintenance demand information is to maintain the molds with excess quantity, that is, when the mold is scrapped due to wear, the mold will not be replenished until the number of molds of this model group is lower than the demand quantity.

[0103] Reference Figure 7 The above-mentioned sorting and screening of each group of molds according to the production efficiency A and production cost B of each group of molds to obtain the high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part specifically includes the following steps:

[0104] F1. Generate production efficiency sequence and production cost sequence: According to the production efficiency A and production cost B of each group of molds, each group of molds is sorted to generate the production efficiency sequence and production cost sequence;

[0105] F2. Select high-efficiency molds: Select the mold with the highest production efficiency as the high-efficiency mold according to the production efficiency sequence;

[0106] F3. Select low-cost molds: Select the mold with the lowest production cost as the low-cost mold according to the production cost sequence;

[0107] F4. Generate comprehensive sequence: According to the preset sorting score table, generate efficiency scores and cost scores for various molds in the production efficiency sequence and production cost sequence based on the sorting score table, add up the efficiency scores and cost scores of each group of molds to obtain a comprehensive score, and sort each group of molds based on the comprehensive score to generate a comprehensive sequence;

[0108] F5. Select all-purpose molds: Select the mold with the highest comprehensive score as the all-purpose mold according to the comprehensive sequence. It should be noted that the scores corresponding to the sequence numbers are recorded in the sorting score table. For example, in this embodiment, sequence 1 is 10 points and sequence 2 is 9 points. The number of mold sets of each type for the same part can be set according to the actual scale of the factory. In the embodiment of this application, the number of efficient molds, low-cost molds and all-purpose molds for the same part are all 1. When all types of molds for the production of a certain part are a set of molds, in order to diversify the mold inventory, it may be considered to increase the number of molds of each type. Based on the production cost and production efficiency of each group of molds, the production efficiency sequence and production cost sequence are generated, and then the high-efficiency molds and low-cost molds are determined. The scoring mechanism is introduced to calculate the efficiency score and cost score of each group of molds, and the comprehensive score of each group of molds is determined. The all-round mold is selected, which is convenient for determining the mold inventory optimization plan according to the classification and screening results. In different production seasons, users can determine the mold group that meets their needs based on the order's working hour requirements, improve the parts production efficiency as much as possible, reduce the parts production cost, optimize the mold inventory plan, abandon and eliminate mediocre molds, and effectively connect the implementation of new molds while regularly optimizing the existing mold inventory structure, so as to realize the linkage between mold research and development and inventory management, and achieve the effect of intelligent optimization of mold inventory and improvement of stamping production efficiency.

[0109] The above-mentioned managers pre-setting the mold inventory ratio also includes: collecting historical order information and historical extraction and use information of various types of molds used in the production of various parts, importing them into the machine learning model for training, and obtaining a recommendation model for the mold ratio in the off-season and peak-season. Then, when the administrator sets the inventory ratio of various types of molds corresponding to each part, the off-season and peak-season mold ratio recommendation model extracts the current time information and part information, and matches and generates reference values ​​for the inventory ratio setting of various types of molds corresponding to the current season of the part. Managers can refer to it to set the mold inventory ratio of each part. By collecting historical order information, the demand for various parts generated in each quarter can be determined, and then by extracting the historical use information of various types of molds used in the production of various parts, the call of various types of molds in the production of various parts in each quarter can be extracted, and then the off-season and peak-season mold ratio recommendation model can be trained to generate reference values ​​for mold inventory ratio settings based on part models and the current quarter, which is convenient for managers to scientifically and accurately set and adjust the mold inventory ratio so that the inventory molds can adapt to the current quarter's parts processing and production needs.

[0110] The embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executed as in the above method. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0111] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in this field can still combine, add, delete or make other adjustments to the features in the various embodiments of the present invention according to the circumstances without conflict, without making creative work, so as to obtain different other technical solutions that do not deviate from the concept of the present invention in essence, and these technical solutions also belong to the scope of protection of the present invention.

Claims

1. A stamping die management method based on big data, characterized in that: The following steps are involved: Establish a mold management database, monitor the working status of existing inventory molds, regularly perform maintenance on existing inventory molds, and generate inventory mold work record information; Obtain the design plan of the new mold in real time and send it to the mold manufacturing department for mold trial production. Send the trial-produced new mold to its corresponding parts production line for verification production, and collect verification production data of the new mold; Regularly collect inventory mold work record information and new mold verification production data, calculate and determine the production efficiency A and production cost B of each group of molds, sort and screen each group of molds to obtain the various types of molds required by the user, and generate a mold inventory optimization plan based on the preset mold inventory ratio; The establishment of the mold management database specifically includes the following steps: Establish a database to input characteristic information of existing inventory molds, the characteristic information including production date information, coding information, service life information, processed parts information and work record information; The inventory mold work record information generated after each existing inventory mold completes the production work is added to the feature information of the existing inventory mold in real time; Pack and seal the characteristic information of scrapped molds; Receive the design plan of the new mold in real time, enter the characteristic information of the new mold after the trial production of the new mold is completed, and add the verification production data generated during the verification production of the new mold to the characteristic information of the new mold in real time; The monitoring of the working status of the existing inventory molds, regular maintenance of the existing inventory molds, and generation of inventory mold work record information specifically include the following steps: Real-time acquisition of the working status of existing inventory molds, including idle, working and under maintenance; When any mold is in operation, obtain its usage times, usage duration and product yield information in real time; When any one of the number of times a mold is used, the length of time it is used, and the product yield rate information exceeds a preset number of times, length of time, or product yield rate threshold, a maintenance reminder message for the mold is generated and sent to the management personnel to perform maintenance on the mold; After each mold is used or maintained, collect mold work record data and / or maintenance information to generate inventory mold work record information; The method of sending the trial-produced new mold to its corresponding parts production line for verification and production, and collecting and obtaining the verification production data of the new mold specifically includes the following steps: Send the trial-produced new molds to their corresponding parts production lines for preliminary installation and debugging; After installation and debugging are completed, product trial production is carried out, and the new mold is installed and adjusted based on the trial production results until the trial production yield of the parts production line meets the preset trial production qualified threshold, and the installation adjustment data is recorded; After the installation and adjustment of the new mold is completed, the parts production line is started for verification production; Monitor the working status of the new mold. When the usage time or usage frequency of the new mold exceeds the preset usage frequency threshold or usage time threshold of the new mold, stop the parts production line, generate maintenance reminder information of the mold and send it to the management personnel to perform maintenance on the new mold. After the new mold is maintained, repeat the above steps until the new mold is scrapped; Collect installation and adjustment data, work record data and maintenance information of new molds, package them and generate verification production data; The method of regularly collecting the work record information of the inventory molds and the verification production data of the new molds, and calculating and determining the production efficiency A and the production cost B of each group of molds specifically includes the following steps: Regularly collect work record information of inventory molds and verification production data of new molds. The collection cycle is set by the management personnel; Clean the collected inventory mold work record information and the verification production data of new molds, and extract the usage data of each group of molds within the average service life cycle; Calculate the production efficiency A of each group of molds according to the preset production efficiency calculation formula; Calculate the production cost B of each set of molds according to the preset production cost calculation formula; The production efficiency calculation formula is calculated as follows: Among them, C is the total number of good products produced during the average service life of the group of molds, D is the average service life of the group of molds, and c i is the number of good products produced when this set of molds is used for the i-th time, d i The duration of use of the set of molds for the i-th time; The production cost calculation formula is: Among them, C is the total number of good products produced during the average service life of this group of molds, K is the total number of products produced during the average service life of this group of molds, E is the cost of materials consumed during the average service life of this group of molds, F is the production cost of this group of molds, G is the single maintenance cost of this group of molds, H is the number of maintenance times during the average service life of this group of molds; J is the equipment loss cost of a single processing of the production equipment adapted to this group of molds, which is set by the management personnel; The method of sorting and screening each group of molds to obtain various types of molds required by the user and generating a mold inventory optimization plan according to a preset mold inventory ratio specifically includes the following steps: According to the production efficiency A and production cost B of each group of molds, sort and screen each group of molds to obtain high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part; Calculate the required quantity of each type of molds according to the preset mold inventory ratio, which is set by the management personnel; Obtain the existing inventory quantity of each type of molds through the database, generate supplementary demand information for molds whose inventory quantity does not meet the demand quantity based on the demand quantity of each type of molds, and generate maintenance demand information for molds whose inventory quantity meets the demand quantity. The supplementary demand information and maintenance demand information of each part are packaged to generate a mold inventory optimization plan; The manager presetting the mold inventory ratio also includes: collecting historical order information and historical extraction and usage information of various types of molds used for the production of various parts, importing it into a machine learning model for training, and obtaining a recommendation model for the mold ratio in the off-season and peak-season. Then, when the administrator sets the inventory ratio of various types of molds corresponding to each part, the off-season and peak-season mold ratio recommendation model extracts the current time information and part information, and matches and generates a reference value for setting the inventory ratio of various types of molds corresponding to the part in the current season, and the manager can refer to it to set the mold inventory ratio of each part; The method of sorting and screening each group of molds according to the production efficiency A and production cost B of each group of molds to obtain the high-efficiency molds, low-cost molds and all-round molds corresponding to the production of each part specifically includes the following steps: According to the production efficiency A and production cost B of each group of molds, each group of molds is sorted to generate a production efficiency sequence and a production cost sequence; According to the production efficiency sequence, the mold with the highest production efficiency is selected as the high-efficiency mold; According to the production cost sequence, the mold with the lowest production cost is selected as the low-cost mold; According to the preset sorting score table, efficiency scores and cost scores are generated for various molds in the production efficiency sequence and production cost sequence based on the sorting score table, the efficiency scores and cost scores of each group of molds are added together to obtain a comprehensive score, and each group of molds is sorted based on the comprehensive score to generate a comprehensive sequence; According to the comprehensive sequence, the mold with the highest comprehensive score is selected as the all-round mold.

2. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes any method as claimed in claim 1.

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