An intelligent parameter adjusting method and system for injection molding equipment, a storage medium and a program product

Abstract

The application discloses an intelligent parameter adjusting method and system of injection molding equipment, a storage medium and a program product. The method comprises the following steps: constructing an equipment pool and a standard process parameter pool based on production equipment combinations corresponding to different injection molding products and process parameters; the production equipment combination comprises an injection molding machine and a plurality of auxiliary equipment; according to the type of the injection molding product and the key parameters of the injection molding machine to be adjusted, a plurality of groups of production equipment combinations consistent with the key parameters are selected from the equipment pool as candidates, and one of the candidates is recommended as the best production equipment combination; the process parameters of the best production equipment combination for producing the type of injection molding product are matched from the standard process parameter pool, and the process parameters are updated to the injection molding machine to be adjusted and the auxiliary equipment. The parameter adjusting method of the application does not need to construct a model and other complex means, and relies on historical data to match corresponding equipment and parameters, which is simple, fast and suitable for the injection molding field.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of injection molding equipment parameter debugging, and particularly relates to an intelligent parameter adjustment method and system for injection molding equipment, a storage medium and a program product. BACKGROUND

[0002] With the increasing richness of plastic products, the process requirements for injection molding processing are also continuously improved. One injection molding machine cannot meet the needs of production and processing with one specific injection molding mold. Considering the universality, a plurality of injection molding molds are usually matched with one injection molding machine, and different injection molding molds are used for processing according to different production and processing tasks arranged. However, different injection molding molds have different requirements for injection molding process parameters of the injection molding machine. A specific injection molding mold needs to be matched with specific injection molding process parameters such as injection speed, pressure and specific mold clamping force of the injection molding machine, so as to ensure that the molding precision of the product meets the processing requirements.

[0003] The existing parameter adjustment method is to debug the equipment one by one by manual operation. On the one hand, the starting rate and processing rate are reduced. On the other hand, if the process parameters are found through trial production for each device, that is, the process standard parameters for producing good products are found through trial and error, a large amount of material is wasted, and the cost is high.

[0004] In addition, different combinations of equipment may produce different injection molding products. Therefore, once the product is changed, it may be necessary to design and debug again, which undoubtedly further increases the cost. Moreover, it is heavily dependent on manual experience. SUMMARY

[0005] The application aims to provide an intelligent parameter adjustment method and system for injection molding equipment, a computer readable storage medium and a computer program product, which can match appropriate production equipment combinations and process parameters according to historical data.

[0006] In order to solve the above-mentioned technical problems, the application specifically adopts the following technical solutions: an intelligent parameter adjustment method for injection molding equipment, comprising:

[0007] A device pool and a standard process parameter pool are constructed based on production equipment combinations and process parameters corresponding to different injection molding products. The production equipment combination includes an injection molding machine and a plurality of auxiliary equipment. The injection molding product is marked as a qualified injection molding product.

[0008] According to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, a plurality of groups of production equipment combinations consistent with the key parameters are selected from the device pool as candidates, and one of them is recommended as the best production equipment combination. The key parameter is the tonnage of the injection molding machine.

[0009] matching the process parameters of the best production equipment combination from the standard process parameter pool to produce the type of injection molded product, and updating the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

[0010] As an improvement, for the same injection molded product, the device pool includes a plurality of production equipment combinations whose batch quantity of historical processing of the same injection molded product is greater than a preset quantity threshold, and the average yield reaches a preset yield threshold.

[0011] As an improvement, in the case that the user does not accept the auxiliary equipment in the best production equipment combination, other auxiliary equipment is recommended from the alternative production equipment combination until the user accepts or the alternative production equipment combination recommendation is exhausted, or the user configures the auxiliary equipment to form a new best production equipment combination.

[0012] As an improvement, when one of the groups is recommended as the best production equipment combination, according to the preset production scheduling plan, the total number of production batches, the total output and the preset yield of the current required injection molded product are obtained, and from the alternative production equipment combination, a plurality of production equipment combinations whose historical production batch quantity and historical total output are greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield are selected, and then one of them is randomly selected as the best production equipment combination.

[0013] The actual product yield after the trial run is obtained, and it is judged whether the actual product yield reaches the preset yield, if not, the one with the largest average yield is selected as the best production equipment combination; and,

[0014] If no production equipment combination whose historical production batch quantity and historical total output are greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield is matched, at least one production equipment combination whose average product yield is greater than or equal to the preset yield in a specified time period is matched for it, and the one with the largest average yield is selected as the best production equipment combination.

[0015] As a further improvement, for each injection molded product, the ratio of the number of times each production equipment combination is adopted to the number of times it is recommended is calculated as its reference index, and when a plurality of production equipment combinations whose historical production batch quantity and historical total output are greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield are selected from the alternative production equipment combination, the one with the largest reference index is selected as the best production equipment combination.

[0016] As an improvement, a mark is set on the injection molded product, which contains the quality inspection result, the production equipment combination for producing the injection molded product, and the corresponding process parameters.

[0017] As an improvement, the identification is a two-dimensional code, which can only be scanned by a specific APP to contain information.

[0018] As an improvement, the data collector is used to collect process parameters in the production of injection molding products, and the production equipment combination and process parameters for producing qualified injection molding products are used to construct the equipment pool and the standard process parameter pool.

[0019] As an improvement, the key parameter is the tonnage of the injection molding machine.

[0020] An intelligent parameter adjusting system of injection molding equipment, comprising:

[0021] A data construction module is used to construct an equipment pool and a standard process parameter pool based on production equipment combinations and process parameters corresponding to different injection molding products; the production equipment combination comprises an injection molding machine and several auxiliary equipment; the injection molding product is marked as a qualified injection molding product;

[0022] A recommendation module is used to select several groups of production equipment combinations consistent with the key parameters of the injection molding machine to be adjusted as candidates in the equipment pool according to the type of injection molding product and the key parameters, and recommend one of them as the best production equipment combination;

[0023] A parameter matching module is used to match the process parameters of the best production equipment combination for producing the type of injection molding product from the standard process parameter pool, and update the process parameters to the injection molding machine to be adjusted and the auxiliary equipment;

[0024] A configuration module is used to configure the auxiliary equipment to form a new best production equipment combination by the user in the case that the user does not accept the auxiliary equipment in the best production equipment combination.

[0025] The application also provides a computer program product, which comprises a computer program that can implement the above-mentioned intelligent parameter adjusting method of injection molding equipment when executed.

[0026] The application also provides a storage medium, which stores a computer program that can implement the above-mentioned intelligent parameter adjusting method of injection molding equipment when executed.

[0027] The application also provides a computer system, which comprises a processor and a memory, and the memory stores a computer program that can implement the above-mentioned intelligent parameter adjusting method of injection molding equipment when executed.

[0028] The application has the advantages that: the application constructs a device pool and a standard process parameter pool through the data corresponding to the production of qualified injection molding products (or also known as good products) in historical data. When the newly purchased equipment needs to be debugged, the process parameters for producing corresponding qualified injection molding products are automatically matched in the standard process parameter pool through the key parameters of the injection molding machine and the type of injection molding products, and are automatically adapted to the new injection molding equipment and its auxiliary equipment, without manual parameter adjustment. Further, during the device configuration stage, a number of production equipment combinations can be selected for recommendation in the device pool according to the key parameters of the injection molding machine and the type of injection molding products. If the user accepts the recommendation, the corresponding process parameters are matched in the standard process parameter pool according to the recommendation and are synchronized to the corresponding production equipment combination. If the user does not accept the recommendation, the user can continue to be recommended production equipment combinations, or can configure auxiliary equipment matching the injection molding machine to form a production equipment combination, and match the corresponding process parameters in the standard process parameter pool according to the user's self-configuration production equipment combination and synchronize the process parameters to the corresponding production equipment combination.

[0029] In addition, a two-dimensional code is arranged on the injection molding product in the application for digital traceability, so as to link the injection molding product with the production equipment combination, the corresponding process, and the quality evaluation. The above-mentioned two-dimensional code can only be scanned by a special APP to obtain information, protecting the manufacturer's technical secrets.

[0030] The parameter adjustment method of the application does not need to construct a model or other complex means, and relies on historical data to match the corresponding equipment and parameters, which is simple and fast, and is suitable for the injection molding field. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual proportion. Obviously, the drawings described below are some embodiments of the application, and those skilled in the art can obtain other drawings according to these drawings without creating any inventive labor.

[0032] Figure 1 Flow chart of the injection molding equipment intelligent parameter adjustment method of an embodiment of the application;

[0033] Figure 2 Flow chart of the injection molding equipment intelligent parameter adjustment method of another embodiment of the application;

[0034] Figure 3 Structure diagram of the injection molding equipment intelligent parameter adjustment system of an embodiment of the application. DETAILED DESCRIPTION

[0035] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0036] Herein, using suffixes such as "module", "component", or "unit" for representing elements is only for facilitating the description of the present application, and has no specific meaning by itself. Therefore, "module", "component", or "unit" can be used mixedly.

[0037] Herein, the terms "upper", "lower", "inner", "outer", "front", "back", "one end", "the other end", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for facilitating the description of the present application and simplifying the description, and do not indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance.

[0038] Herein, unless otherwise explicitly specified and limited, the terms "mount", "provided with", "connected", and the like should be understood broadly, for example, "connected" can be fixedly connected, or detachably connected, or integrally connected; can be mechanically connected, can be directly connected, or indirectly connected through an intermediate medium, can be the communication inside two elements. For a person of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0039] Herein, "and / or" includes any and all combinations of one or more listed related items.

[0040] Herein, "multiple" means two or more, that is, it includes two, three, four, five, etc.

[0041] The prior art CN115146875A discloses a process parameter recommendation method, device, system and medium based on historical data. In a specific embodiment, the method comprises: based on the current material attribute, retrieving historical data about the mapping relationship between the material attribute and the process parameter, obtaining the recommended process parameter corresponding to the historical material attribute closest to the current material attribute; taking the recommended process parameter as the optimization starting point, adjusting the process parameter based on the trained regression model until the local optimal process parameter satisfying the expected measurement result is obtained.

[0042] The prior art adjusts the process parameters by establishing a regression model to obtain the optimal process parameters. This method has high professional degree and is difficult to implement because a model needs to be established. In addition, in the field of injection molding technology, different equipment combinations can produce the same product, and the same equipment combination (except for the mold) can produce different products. Therefore, for the same product, different equipment combinations and process parameters can be selected.

[0043] Example 1: In order to adapt to the parameter adjustment of the injection molding equipment, as shown in the following table, the present application provides an intelligent parameter adjustment method for injection molding equipment, which comprises the following steps: Figure 1

[0044] S101, based on the production equipment combination and process parameters corresponding to the production of different injection molding products, a device pool and a standard process parameter pool are constructed; the production equipment combination comprises an injection molding machine and several auxiliary equipment.

[0045] Specifically, in the previous production process, the data collector is used to collect the process parameters of the production equipment combination in the production of injection molding products, and the production equipment combination and the process parameters thereof when producing qualified injection molding products (i.e. good products) are used to construct the device pool and the standard process parameter pool. The qualified injection molding products can be approved by quality inspection or by customers.

[0046] For example, the injection molding machine and auxiliary equipment such as mold temperature machine, temperature control box, etc. used to produce a certain injection molding product are recorded, and their model types such as tonnage, power, etc. are recorded at the same time, and the process parameters such as pressure, temperature, time, etc. in the production process are collected. If the injection molding product is finally determined to be qualified, the above recorded data is added to the device pool and the standard process parameter pool.

[0047] Generally, for the same injection molding product and the same set of production equipment combination, after adjustment, the production equipment will run under the same set of process parameters unless the equipment fails or the injection molding product is replaced, the mold is replaced, etc. Therefore, in this embodiment, only the process parameters of the production equipment combination for producing qualified injection molding products are recorded in the device pool, or the yield of a batch of injection molding products reaches the preset yield, and the equipment combination and the corresponding process parameters can be recorded in the device pool.

[0048] ​However, using single qualified injection molding product or single batch yield as the input standard, on the one hand, the construction of the device pool and the standard process parameter pool will make the number too large, and there may be a lot of repeated data, thereby increasing the workload of subsequent screening steps; on the other hand, the single qualified or single batch yield reaching the requirement cannot prove that the production equipment combination and its process parameters are reliable and stable. For example, if some production equipment combination is only used as an emergency for a batch or a period of time, or for other reasons, it only processes a very small batch of injection molding products, even if the injection molding products obtained meet the basic requirements, it does not mean that the production equipment combination and its process parameters are very reliable or can be stable and effective for a long time.

[0049] Therefore, in order to improve the reliability of each production equipment combination and its corresponding process parameters in the device pool, when constructing the device pool, for the same injection molding product, only the production equipment combinations that have processed more than a preset number of batches of the same injection molding product and have an average yield of a preset yield threshold are selected. Each production batch corresponds to a yield, so the average yield refers to the average value of the yield of all historical production batches of the production equipment combination (of course, the average value of the yield of historical production batches within a specified time period can also be specified).

[0050] S102, according to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, select several groups of production equipment combinations consistent with the key parameters from the device pool as candidates, and recommend one of them as the best production equipment combination.

[0051] When purchasing new equipment or replacing products, the device needs to be parameter adjusted. At this time, according to the type of injection molding product to be produced and the key parameters (preferably tonnage) of the injection molding machine to be adjusted, the production equipment combination for producing the above injection molding product is selected from the device pool. The reason for taking tonnage as the key parameter is that generally the auxiliary equipment is configured with reference to the tonnage of the injection molding machine. The larger the tonnage of the injection molding machine, the larger the power of other auxiliary equipment that needs to be configured.

[0052] Of course, since there is more than one production equipment combination for producing the same injection molding product, multiple production equipment combinations can be selected. Then a group is randomly selected from the multiple production equipment combinations selected as the best production equipment combination.

[0053] In some other embodiments, a set of optimal production equipment combinations is matched for the type of injection molded product according to the yield and output of the type of injection molded product in historical data within a preset production period (e.g., the most recent month) from a plurality of sets of production equipment combinations. Specifically, according to the production scheduling plan, the total number of production batches and the total output (i.e., the sum of the output of each production batch in the total number of production batches) that the production equipment combination to be debugged will undertake in the production scheduling plan, and a preset yield, and according to the total output and the total number of production batches, and the preset yield, a plurality of production equipment combinations are further screened from the plurality of sets of production equipment combinations (specifically, production equipment combinations in which the total number of historical production batches and the total historical output (i.e., the sum of the output of each historical production batch in the total number of historical production batches) are greater than or equal to the total number of production batches and the total output of the production equipment combination to be debugged in the production scheduling plan, and the average product yield is greater than or equal to the preset yield), and then one of the production equipment combinations is randomly selected as the optimal production equipment combination. Generally, the production scheduling is based on the historical data of the factory, so the total number of production batches and the total output of the production equipment combination to be debugged can generally find at least one set of production equipment for benchmarking among the plurality of sets of production equipment combinations.

[0054] In addition, since there are still differences between the production equipment combination to be debugged and the existing production equipment combination, after the process parameters are set, the actual product yield of the new production equipment combination after trial operation can also be obtained (for example, from the perspective of reducing the cost of trial operation and saving materials, a production batch or a preset number of times can be trial operated, and the corresponding actual product yield can be obtained), and it is determined whether the actual product yield reaches the preset yield. If not, a production equipment combination with the highest yield is selected as the optimal production equipment combination.

[0055] Of course, if the actual production scheduling plan is adjusted or other circumstances, so that no production equipment combination in which the total number of historical production batches and the total historical output are greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield is matched, then at this time, the screening standard needs to be adjusted, and only a plurality of production equipment combinations in which the average product yield is greater than or equal to the preset yield within a specified time period (if the time interval is too long, the reliability as a reference will also decrease, so the most recent week or the most recent month can be specified) is matched.

[0056] Generally, a group of production equipment can only produce one injection molding product in the same production period, and different production quantities mean different working intensities of the equipment and different running states of the equipment. When the same injection molding product is produced in the same production quantity, the combination of the equipment with the highest yield rate indicates that the process parameters of the equipment combination are optimal and the equipment combination is in the best working state (except for factors such as breakdowns or human factors). Therefore, when an injection molding product needs to be produced, if a combination of production equipment can be found that has the same or larger production batch quantity and total production quantity and an average yield rate greater than or equal to a preset yield rate, the yield rate of the product can be ensured as much as possible by copying the process parameters of the equipment combination.

[0057] In some embodiments, for each injection molding product, the ratio of the number of times each production equipment combination is adopted to the number of times each production equipment combination is recommended is calculated as its reference index. When a plurality of production equipment combinations are filtered from a plurality of alternative production equipment combinations, the historical production batch quantity and the historical total production quantity of each production equipment combination are greater than or equal to the total production batch quantity and the total production quantity, and the average product yield rate is greater than or equal to a preset yield rate, a production equipment combination with the largest reference index is selected as the optimal production equipment combination.

[0058] At the beginning of the system operation, most users will directly adopt the production equipment combination recommended by the system without any prior reference or expert participation. However, after the system has been running for a period of time and a certain amount of historical data has been accumulated, users will usually decide whether to adopt the recommendation according to the actual situation, or, with the participation of experienced debugging staff, to filter a more suitable production equipment combination. Therefore, the ratio of the number of times each production equipment combination is adopted (including being recommended by the system and being adopted by the user, or being actively selected by the user without being recommended by the system) to the number of times each production equipment combination is recommended can be used to measure whether the production equipment combination is suitable as a reference standard for debugging new production equipment combinations in the future. Specifically, the smaller the reference index, the more likely it is that the production equipment combination will not meet the user's expectations even if it is recommended, or that a more suitable production equipment combination will be filtered by experts, and therefore, in subsequent system recommendations, the production equipment combination will be gradually placed in a less favorable position. Of course, the larger the reference index, the more likely it is that the production equipment combination and its process parameters will be used as a reference standard for other production equipment, that is, the reliability of the process parameters is high, and a large amount of practice has proven this, and therefore, a production equipment combination with a larger reference index is preferably recommended.

[0059] S103, match the process parameters of the production of the injection molding product of the type from the standard process parameter pool according to the optimal production equipment combination, and update the process parameters to the injection molding machine and auxiliary equipment to be debugged.

[0060] The process parameters of the production equipment combination as the best production equipment combination in producing the injection molding product have been added to the standard process parameter pool. Therefore, only the type of the injection molding product and the production equipment combination need to be input, and the corresponding process parameters can be matched from the standard process parameter pool, so as to match the process parameters to the injection molding machine to be adjusted and its auxiliary equipment.

[0061] In addition, in order to realize digital traceability, the injection molding product produced after the parameter adjustment by the above method in the embodiment can be provided with an identification, which contains the quality inspection result, the production equipment combination for producing the injection molding product, and the corresponding process parameters.

[0062] More specifically, the identification is a two-dimensional code, which can only be scanned by a specific APP to obtain the contained information, and the specific APP is only used by specific staff of the factory to avoid leakage of production process.

[0063] Embodiment 2: The application also provides another intelligent parameter adjustment method, which is described below with reference to Figure 2 which includes the following steps:

[0064] S201, constructing a device pool and a standard process parameter pool based on production equipment combinations and process parameters corresponding to different injection molding products; the production equipment combination includes an injection molding machine and a plurality of auxiliary equipment.

[0065] S202, selecting a plurality of groups of production equipment combinations consistent with the key parameters of the injection molding machine to be adjusted as candidates according to the type of the injection molding product and the key parameters of the injection molding machine to be adjusted, and recommending one group as the best production equipment combination.

[0066] Of course, the user may agree or refuse the recommended best production equipment combination.

[0067] S203, in the case that the user approves the best production equipment combination, matching the process parameters of the injection molding product produced by the best production equipment combination from the standard process parameter pool, and updating the process parameters to the injection molding machine to be adjusted and the auxiliary equipment.

[0068] S204, in the case that the user does not accept the auxiliary equipment in the best production equipment combination, recommending other auxiliary equipment from the candidate production equipment combination until the user accepts or the candidate production equipment combination recommendation is exhausted, or the user configures the auxiliary equipment to form a new best production equipment combination.

[0069] The user can not accept the recommended auxiliary equipment in the optimal production equipment combination for some reason, at this time, the system can randomly select a group of production equipment combinations from the alternative production equipment combinations for recommendation. This process continues until the user accepts the recommendation or all alternative production equipment combinations are recommended. The production equipment combination accepted by the user becomes the optimal production equipment combination.

[0070] Of course, the user can also configure the auxiliary equipment by himself, and the auxiliary equipment configured by the user also becomes the optimal production equipment combination.

[0071] S205, matching the process parameters of the optimal production equipment combination from the standard process parameter pool for producing the type of injection molding product, and updating the process parameters to the injection molding machine to be adjusted and the auxiliary equipment.

[0072] Embodiment 3: as shown in the figure, the present application also provides an intelligent parameter adjustment system for injection molding equipment, comprising: Figure 3

[0073] A data construction module is configured to construct a device pool and a standard process parameter pool based on production equipment combinations and process parameters corresponding to different injection molding products; the production equipment combination includes an injection molding machine and a plurality of auxiliary equipment;

[0074] A recommendation module is configured to select a plurality of groups of production equipment combinations consistent with the key parameters of the injection molding machine to be adjusted as alternatives in the device pool according to the type of injection molding product and the key parameters, and recommend one of them as the optimal production equipment combination;

[0075] A parameter matching module is configured to match the process parameters of the optimal production equipment combination from the standard process parameter pool for producing the type of injection molding product, and update the process parameters to the injection molding machine to be adjusted and the auxiliary equipment;

[0076] A configuration module is configured to configure the auxiliary equipment by the user himself in the case that the user does not accept the auxiliary equipment in the optimal production equipment combination, so as to form a new optimal production equipment combination.

[0077] ​In some embodiments, the recommendation module is specifically configured to, when recommending a group of production devices as the optimal production device combination, obtain the total number of production batches, the total production and the preset yield of the current to-be-produced injection molded product according to the preset scheduling plan, and filter a plurality of production device combinations from the plurality of groups of production device combinations, wherein the plurality of production device combinations have a historical production batch quantity and a historical total production that are greater than or equal to the total number of production batches and the total production, and have an average product yield that is greater than or equal to the preset yield; or, when no production device combination having a historical production batch quantity and a historical total production that are greater than or equal to the total number of production batches and the total production, and having an average product yield that is greater than or equal to the preset yield is matched, match at least one production device combination having an average product yield that is greater than or equal to the preset yield in a specified time period, and select a production device combination having the largest average yield from the at least one production device combination as the optimal production device combination.

[0078] In other embodiments, the recommendation module is specifically configured to, when a plurality of production device combinations having a historical production batch quantity and a historical total production that are greater than or equal to the total number of production batches and the total production, and having an average product yield that is greater than or equal to the preset yield are filtered from the plurality of groups of production device combinations, select a production device combination having the largest reference index from the plurality of production device combinations as the optimal production device combination. The reference index is a ratio of the number of times each production device combination is adopted to the number of times each production device combination is recommended, which is calculated in advance for each injection molded product. That is, each production device corresponds to different injection molded products and has different reference indexes.

[0079] Embodiment 4: The present application also provides a computer program product, which comprises a computer program that can implement the above-mentioned injection molding device intelligent parameter adjustment method when executed.

[0080] Embodiment 5: The present application also provides a storage medium, which stores a computer program that can implement the above-mentioned injection molding device intelligent parameter adjustment method when executed.

[0081] Embodiment 6: The present application also provides a computer system, which comprises a processor and a memory, and the memory stores a computer program that can implement the above-mentioned injection molding device intelligent parameter adjustment method when executed.

[0082] It should be noted that, in this document, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0083] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and necessary general hardware platform, of course, also can be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of software product, and the computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a plurality of instructions to make a computer terminal (may be mobile phone, computer, server, or network equipment, etc.) execute the method described in various embodiments of the present application.

[0084] The embodiments of the present application are described above in conjunction with the drawings, but the present application is not limited to the above-mentioned specific embodiments, and the above-mentioned specific embodiments are only illustrative, not restrictive. Those skilled in the art can make many forms under the inspiration of the present application without departing from the purpose of the present application and the scope protected by the claims.

Claims

1. A method for intelligent parameter adjustment of injection molding equipment, characterized in that... include: An equipment pool and a standard process parameter pool are constructed based on the combination of production equipment and process parameters corresponding to the production of different injection molded products. The production equipment assembly includes an injection molding machine and several auxiliary equipment; the injection molded products are marked as qualified injection molded products. Based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, several sets of production equipment combinations that match the key parameters are selected from the equipment pool as alternatives, and one set is recommended as the optimal production equipment combination; the key parameter is the tonnage of the injection molding machine. Match the optimal production equipment combination from the standard process parameter pool to produce this type of injection molded product using process parameters, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted. When recommending one of the production equipment combinations as the best combination, the total number of production batches, total output and preset yield of the injection molded products to be produced are obtained according to the preset production schedule. From the several alternative production equipment combinations, multiple production equipment combinations are selected where the number of historical production batches and the total historical output are both greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield. Then, a production equipment combination is randomly selected as the best production equipment combination. Obtain the actual product yield after trial operation, and determine whether the actual product yield reaches the preset yield. If it does not reach the preset yield, select the production equipment combination with the highest average yield as the optimal production equipment combination; and... If no matching production equipment combination is found where the number of historical production batches and the total historical output are both greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield, then at least one production equipment combination with an average product yield greater than or equal to the preset yield within a specified time period is matched, and the production equipment combination with the highest average yield is selected as the optimal production equipment combination.

2. The intelligent parameter adjustment method for injection molding equipment according to claim 1, characterized in that: For the same injection molded product, the equipment pool includes multiple combinations of production equipment that have historically processed the same injection molded product in batches exceeding a preset quantity threshold and whose average yield has reached a preset yield threshold.

3. The intelligent parameter adjustment method for injection molding equipment according to claim 1, characterized in that: If the user does not accept the auxiliary equipment in the optimal production equipment combination, other auxiliary equipment shall be recommended from the alternative production equipment combinations until the user accepts the alternative production equipment combination recommendation, or the user shall configure the auxiliary equipment to form a new optimal production equipment combination. And / or, a mark is affixed to the injection-molded product, the mark including the quality inspection results, the production equipment combination that produced the injection-molded product, and the corresponding process parameters.

4. The intelligent parameter adjustment method for injection molding equipment according to claim 3, characterized in that: The identifier is a QR code, which can only be scanned by a specific app to retrieve the corresponding information.

5. The intelligent parameter adjustment method for injection molding equipment according to claim 1, characterized in that: The process parameters of the production equipment combination during the production of injection molded products are collected using a data acquisition device, and the production equipment combination and process parameters that produce qualified injection molded products are used to construct an equipment pool and a standard process parameter pool.

6. An intelligent parameter adjustment system for injection molding equipment, characterized in that... include: The data construction module is used to build an equipment pool and a standard process parameter pool based on the combination of production equipment and process parameters corresponding to the production of different injection molded products. The production equipment assembly includes an injection molding machine and several auxiliary equipment; the injection molded products are marked as qualified injection molded products. The recommendation module is used to select several production equipment combinations from the equipment pool that match the key parameters of the injection molding product type and the injection molding machine to be adjusted, and recommend one of them as the optimal production equipment combination. Specifically, when recommending one of the optimal production equipment combinations, the total number of production batches, total output, and preset yield of the injection molding product to be produced are obtained according to the preset production schedule. From the several candidate production equipment combinations, multiple production equipment combinations are selected where the number of historical production batches and the historical total output are both greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield. Then, one is randomly selected from these combinations. A set of production equipment combinations is selected as the optimal production equipment combination. The actual product yield after trial operation is obtained, and it is determined whether the actual product yield reaches the preset yield. If it does not reach the preset yield, the production equipment combination with the highest average yield is selected as the optimal production equipment combination. Furthermore, if no production equipment combination is matched where the number of historical production batches and the total historical output are both greater than or equal to the total number of production batches and the total output, and the average product yield is greater than or equal to the preset yield, at least one production equipment combination with an average product yield greater than or equal to the preset yield within a specified time period is matched for it, and the production equipment combination with the highest average yield is selected as the optimal production equipment combination. The parameter matching module is used to match the process parameters for producing this type of injection molded product from the standard process parameter pool for the optimal combination of production equipment, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted. The configuration module allows users to configure auxiliary equipment to form a new optimal production equipment combination if they do not accept the auxiliary equipment in the optimal production equipment combination.

7. A computer program product, characterized in that: The computer program product includes a computer program that, when executed, can implement the intelligent parameter adjustment method for injection molding equipment as described in any one of claims 1 to 5.

8. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed, can implement the intelligent parameter adjustment method for injection molding equipment as described in any one of claims 1 to 5.

9. A computer system, characterized in that: It includes a processor and a memory, wherein the memory stores a computer program that, when executed, can implement the intelligent parameter adjustment method for injection molding equipment as described in any one of claims 1 to 5.

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