Methods, systems, and storage media for quickly adjusting process parameters of injection molding equipment

Abstract

This invention discloses a method, system, and storage medium for rapidly adjusting process parameters of injection molding equipment. The method includes: constructing an equipment pool and a standard process parameter pool based on production equipment combinations and process parameters corresponding to the production of different injection molded products; the production equipment combination includes an injection molding machine and several auxiliary devices; according to the type of injection molded product and the key parameters of the injection molding machine to be adjusted, selecting several production equipment combinations consistent with the key parameters from the equipment pool as candidates, and recommending at least the largest of these as the optimal production equipment combination; matching the process parameters for producing this type of injection molded product from the optimal production equipment combination in the standard process parameter pool, and updating the process parameters to the injection molding machine and auxiliary devices to be adjusted. This parameter adjustment method does not require complex methods such as model building; it relies on historical data to match the corresponding equipment and parameters, is simple and fast, and is applicable to the injection molding field.

Description

[0001] Divisional application

[0002] This application is a divisional application of application No. 202410918540.1 filed on July 5, 2024, entitled "An Intelligent Parameter Adjustment Method and System for Injection Molding Equipment, Storage Medium, and Program Product". Technical Field

[0003] This invention belongs to the field of injection molding equipment parameter adjustment technology, and particularly relates to a method, system, and storage medium for rapidly adjusting process parameters of injection molding equipment. Background Technology

[0004] With the increasing variety of plastic products, the technological requirements for injection molding are also constantly improving. A single injection molding machine with a specific set of injection molds is no longer sufficient to meet production needs. Considering versatility, companies typically use multiple sets of injection molds with a single injection molding machine, employing different molds depending on the specific production task. However, different injection molds have different requirements for the injection molding process parameters of the injection molding machine. Specific injection molds require specific injection speeds, pressures, and clamping forces from the injection molding machine to ensure that the molding accuracy of the finished product meets the processing requirements.

[0005] The existing method of parameter adjustment involves manually debugging each piece of equipment one by one. On the one hand, this reduces the uptime and processing rate. On the other hand, if each piece of equipment has to go through trial production to find the process parameters, that is, to find the process standard parameters for producing good products through trial and error, it will result in a lot of material waste and high costs.

[0006] Furthermore, different equipment combinations may produce different injection molded products. Therefore, if the product is changed, the design and debugging may need to be redesigned, which undoubtedly increases costs further. Moreover, it relies heavily on manual experience. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for rapidly adjusting process parameters of injection molding equipment, and a computer-readable storage medium that can match appropriate production equipment combinations and process parameters based on historical data.

[0008] To solve the aforementioned technical problems, the present invention specifically adopts the following technical solution:

[0009] One aspect of the present invention is to provide a method for rapidly adjusting process parameters of injection molding equipment, comprising:

[0010] An equipment pool and a standard process parameter pool are constructed based on the production equipment combinations and process parameters corresponding to the production of different injection molded products; the production equipment combination includes an injection molding machine and several auxiliary equipment; the injection molded products are marked as qualified injection molded products.

[0011] Based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, several production equipment combinations that match the key parameters are selected from the equipment pool as alternatives, and the production equipment combination with the highest reference index is recommended as the optimal production equipment combination; the key parameter is the tonnage of the injection molding machine; the reference index is the ratio of the number of times the production equipment combination is adopted to the number of times it is recommended.

[0012] Match the optimal production equipment combination from the standard process parameter pool to the process parameters for producing this type of injection molded product, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

[0013] As an improvement, for the same injection molded product, the equipment pool includes multiple combinations of production equipment that have historically processed more batches of the same injection molded product than a preset quantity threshold and whose average yield has reached a preset yield threshold.

[0014] As an improvement, if the user does not accept the auxiliary equipment in the optimal production equipment combination, other auxiliary equipment is recommended from the alternative production equipment combinations until the user accepts it or all alternative production equipment combinations are recommended, or the user configures the auxiliary equipment to form a new optimal production equipment combination.

[0015] As an improvement, when recommending one set as the optimal production equipment combination, the total number of production batches, total output and preset yield of the injection molded products required at present 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 optimal production equipment combination.

[0016] 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...

[0017] 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.

[0018] 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. When multiple production equipment combinations are selected from the candidate groups, and 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, the production equipment combination with the largest reference index is selected as the optimal production equipment combination.

[0019] As an improvement, an identifier is set on the injection molded product, which includes the quality inspection results, the production equipment combination that produced the injection molded product, and the corresponding process parameters.

[0020] As an improvement, the identifier is a QR code, which can only be scanned by a specific app to retrieve the information it contains.

[0021] As an improvement, a data acquisition device is used to collect process parameters of production equipment combinations during the production of injection molded products, and the production equipment combinations and process parameters that produce qualified injection molded products are used to construct an equipment pool and a standard process parameter pool.

[0022] As an improvement, the key parameter is the injection molding machine tonnage.

[0023] A second aspect of the present invention is to provide a system for rapidly adjusting process parameters of an injection molding equipment, comprising:

[0024] The data construction module is used to construct an equipment pool and a standard process parameter pool based on the production equipment combinations and process parameters corresponding to the production of different injection molded products; the production equipment combinations include injection molding machines and several auxiliary equipment; the injection molded products are marked as qualified injection molded products.

[0025] The recommendation module is used to select several sets of production equipment combinations that match the key parameters from the equipment pool as alternatives based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, and recommend one of them as the best production equipment combination.

[0026] 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.

[0027] 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.

[0028] The present invention also provides a computer program product, which includes a computer program that, when executed, can implement the above-mentioned intelligent parameter adjustment method for injection molding equipment.

[0029] A third aspect of the present invention is to provide a storage medium storing a computer program that, when executed, performs the aforementioned intelligent parameter adjustment method for injection molding equipment.

[0030] A fourth aspect of the present invention is to provide a computer system including a processor and a memory, wherein the memory stores a computer program that, when executed, can implement the above-described intelligent parameter adjustment method for injection molding equipment.

[0031] The advantages of this invention are as follows: This invention constructs an equipment pool and a standard process parameter pool based on historical data showing the production of qualified injection-molded products (or good products). When debugging newly purchased equipment, the key parameters of the injection molding machine and the type of injection-molded product are automatically matched from the standard process parameter pool to the process parameters for producing the corresponding qualified injection-molded products, automatically adapting them to the new injection molding equipment and its auxiliary equipment without manual parameter adjustment. Furthermore, during the equipment configuration stage, several production equipment combinations can be selected from the equipment pool for recommendation based on the key parameters of the injection molding machine and the type of injection-molded product. If the user accepts the recommendation, the corresponding process parameters are matched from the standard process parameter pool and synchronized to the corresponding production equipment combination. If the user does not accept the recommendation, production equipment combinations can continue to be recommended, or the user can configure auxiliary equipment matching the injection molding machine to form a production equipment combination. The corresponding process parameters are matched from the standard process parameter pool based on the user's self-configured production equipment combination and synchronized to the corresponding production equipment combination.

[0032] Furthermore, this invention incorporates QR codes on injection-molded products for digital traceability, thereby linking the injection-molded product with the production equipment, corresponding process descriptions, and quality assessments. The information obtained from these QR codes can only be scanned via a dedicated app, protecting the manufacturer's trade secrets.

[0033] The parameter tuning method of the present invention does not require complex means such as building models. It relies on historical data to match the corresponding equipment and parameters, which is simple and fast and applicable to the injection molding field. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. The elements or parts in the drawings are not necessarily drawn to scale. Obviously, the drawings described below are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0035] Figure 1 This is a flowchart of an intelligent parameter adjustment method for injection molding equipment according to an embodiment of the present invention;

[0036] Figure 2 This is a flowchart of an intelligent parameter adjustment method for injection molding equipment according to another embodiment of the present invention;

[0037] Figure 3 This is a structural diagram of an intelligent parameter adjustment system for injection molding equipment according to an embodiment of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0039] In this document, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" may be used interchangeably.

[0040] In this document, the terms "upper," "lower," "inner," "outer," "front," "rear," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0041] In this document, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0042] In this document, "and / or" includes any and all combinations of one or more of the listed related items.

[0043] In this article, "multiple" means two or more, that is, it includes two, three, four, five, etc.

[0044] The prior art CN115146875A discloses a method, device, system and medium for recommending process parameters based on historical data. In a specific embodiment, the method includes: retrieving historical data on the mapping relationship between material attributes and process parameters based on the current material attributes, and obtaining the recommended process parameters corresponding to the historical material attributes that are closest to the current material attributes; using the recommended process parameters as the starting point for optimization, and adjusting the process parameters based on the trained regression model until the locally optimal process parameters that meet the expected measurement results are obtained.

[0045] In the above prior art, the process parameters are adjusted by establishing a regression model to obtain the optimal process parameters. Since this method requires model establishment, it has a high degree of professionalism and great implementation difficulty. 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 also produce different products. Therefore, for the same product, different equipment combinations and process parameters can be selected.

[0046] Example 1: In order to adapt to the parameter debugging of injection molding equipment, as Figure 1 shown, the present invention provides an intelligent parameter adjustment method for injection molding equipment, including:

[0047] S101. Construct an equipment pool and a standard process parameter pool based on the production equipment combinations and process parameters corresponding to different injection molded products; the production equipment combination includes an injection molding machine and several auxiliary equipment.

[0048] Specifically, in the past production process, a data collector is used to collect the process parameters of the production equipment combination during the production of injection molded products, and the production equipment combinations that produce qualified injection molded products (i.e., good products) and their process parameters when producing qualified injection molded products are used to construct the equipment pool and the standard process parameter pool. The qualified injection molded products can be recognized through quality inspection or by customers.

[0049] For example, record the injection molding machine and auxiliary equipment such as a mold temperature controller and a temperature control box used when producing a certain injection molded product, and at the same time record their model types such as tonnage and power, and also collect process descriptions such as pressure, temperature, and time during the production process. If the injection molded product is finally determined to be qualified, the above-recorded data will be added to the equipment pool and the standard process parameter pool.

[0050] Typically, for the same injection-molded product and the same set of production equipment, after debugging, this set of equipment will usually run continuously under the same set of process parameters, unless equipment failure or changes in the injection-molded product or mold cause changes. Therefore, in this embodiment, it is only necessary to enter the process parameters of a qualified injection-molded product produced by the production equipment combination into the equipment pool, or to enter the equipment combination and its corresponding process parameters into the equipment pool once the yield of a batch of injection-molded products reaches a preset yield.

[0051] However, using the yield rate of a single qualified injection molded product or a single batch as the entry standard has two main drawbacks. First, it results in a massive pool of equipment and standard process parameters, potentially leading to a large amount of duplicate data and increasing the workload of subsequent screening steps. Second, achieving the required yield rate for a single qualified product or a single batch does not necessarily prove the high reliability or stability of the production equipment combination and its process parameters. For example, if some production equipment combinations are only used as an emergency measure for a certain batch or period of time, or if for other reasons the batches of injection molded products processed are very small, even if the resulting injection molded products meet the basic requirements, it does not mean that the production equipment combination and its process parameters are highly reliable or can remain stable and effective over a long period of time.

[0052] Therefore, to improve the reliability of each production equipment combination and its corresponding process parameters in the equipment pool, when constructing the equipment pool, for the same injection molded product, only multiple production equipment combinations that have processed more than a preset quantity threshold in the past and whose average yield in the past processing reaches a preset yield threshold are selected. Each production batch has a corresponding yield; therefore, the average yield refers to the average yield of all historical production batches of that production equipment combination (or, of course, the average yield of historical production batches within a specified time period).

[0053] S102. Based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, select several sets of production equipment combinations that are consistent with the key parameters from the equipment pool as alternatives, and recommend one set as the best production equipment combination.

[0054] When purchasing new equipment or changing products, it is necessary to adjust the equipment parameters. At this time, based on the type of injection molded products to be produced and the key parameters (preferably tonnage) of the injection molding machine to be adjusted, a combination of production equipment matching the tonnage of the injection molding machine to be adjusted can be selected from the equipment pool to produce the aforementioned injection molded products. The reason for using tonnage as a key parameter is that, generally, the configuration of auxiliary equipment is based on the tonnage of the injection molding machine; the larger the tonnage of the injection molding machine, the greater the power and other specifications of the auxiliary equipment required.

[0055] Of course, since there are multiple combinations of production equipment for producing the same injection molded product, multiple combinations of production equipment can be selected. Then, one combination is randomly selected from these multiple combinations as the optimal combination of production equipment.

[0056] In other embodiments, based on historical data showing the yield and output of this type of injection molded product during a preset production period (e.g., the most recent month), an optimal production equipment combination is matched from a pool of candidate production equipment combinations. Specifically, based on the production scheduling plan, the total number of production batches and total output (i.e., the sum of the outputs of each production batch within that total number of production batches) and the preset yield of the production equipment combination to be debugged in this production scheduling plan are obtained. Then, based on the total output, total number of production batches, and preset yield, multiple production equipment combinations are further selected from the pool of production equipment combinations (specifically, in a single production scheduling plan, the total number of historical production batches and the total historical output (i.e., the sum of the outputs of each historical production batch within that total historical number of production batches) are both greater than or equal to the total number of production batches and total output of the production equipment combination to be debugged in this production scheduling plan, and the average product yield is greater than or equal to the preset yield). Finally, a production equipment combination is randomly selected as the optimal production equipment combination. Generally speaking, production scheduling is based on the factory's historical data. Therefore, the total number of batches and total output of the production equipment combination to be debugged can usually be found in at least one production equipment combination for benchmarking among the above-mentioned production equipment combinations.

[0057] In addition, since there are still differences between the production equipment combination to be debugged and the existing production equipment combination, after setting the process parameters, the actual product yield after the trial run of the new production equipment combination can be obtained (for example, from the perspective of reducing the cost of trial run and saving materials, a trial run can be performed first, and it can be determined whether the injection molded products obtained from the trial run are qualified products. If they are not qualified products, the optimal production equipment combination can be rematched; if they are qualified products, a production batch or a preset number of trials can be performed, and the corresponding actual product yield can be obtained). It can also be 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 yield can be reselected as the optimal production equipment combination.

[0058] Of course, if the actual production schedule is adjusted, or other circumstances arise that the number of unmatched historical production batches and their total historical output are both greater than or equal to the total number of generated batches and their total output, and the average product yield is greater than or equal to the preset yield, then the screening criteria need to be adjusted to match only multiple production equipment combinations that have an average product yield greater than or equal to the preset yield within a specified time period (if the time interval is too long, the reliability of the reference will also decrease, so the most recent week or the most recent month can be specified).

[0059] Typically, a set of production equipment can only produce one type of injection molded product within the same production period. Different output volumes mean different workloads and potentially different operating conditions for the equipment. The equipment combination with the highest yield for producing the same injection molded product at the same output indicates that its process parameters are optimal, allowing the equipment to operate at its best (excluding malfunctions or human error). Therefore, when producing an injection molded product, if a set of production equipment can be found with the same or larger batch size and total output, and an average yield greater than or equal to a preset yield, replicating the process parameters of that equipment combination can help ensure the highest possible product yield.

[0060] In some embodiments, 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. When multiple production equipment combinations are selected from the candidate groups of production equipment combinations, and 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, the production equipment combination with the largest reference index is selected as the optimal production equipment combination.

[0061] In the initial stages of system operation, without any prior reference or expert participation, most users will directly adopt the system-recommended production equipment combinations. However, after the system has been running for a period of time and a certain amount of historical data has accumulated, users will usually decide whether to adopt the recommendations based on actual conditions, or, with the participation of experienced commissioning personnel, select more suitable production equipment combinations. Therefore, the ratio of the number of times each production equipment combination is adopted (including cases where it is recommended by the system and adopted by the user, or cases where it is not recommended by the system but the user actively chooses it) to the number of times it is recommended can be used to measure whether the generated equipment combination is suitable as a reference standard for commissioning new production equipment combinations in the future. Specifically, the smaller the reference index, the more likely it is that even if the production equipment combination is recommended, it may not meet the user's expectations, or there may be more suitable options after expert screening. Therefore, it will be gradually ranked lower in subsequent system recommendations. On the other hand, the larger the reference index, the more likely it is that the production equipment combination and its process parameters have been used as reference standards for other production equipment multiple times, meaning that its process parameters are highly reliable and have been proven through extensive practical experience. Therefore, production equipment combinations with higher reference indices are preferred.

[0062] S103. 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.

[0063] The optimal combination of production equipment for producing this type of injection molded product has its process parameters added to the standard process parameter pool. Therefore, by simply inputting the type of injection molded product and the combination of production equipment, the corresponding process parameters can be matched from the standard process parameter pool and applied to the injection molding machine and its auxiliary equipment.

[0064] In addition, in order to achieve digital traceability, the injection molded products produced after parameter adjustment using the above method can be marked with an identifier. The identifier includes the quality inspection results, the production equipment combination that produced the injection molded product, and the corresponding process parameters.

[0065] More specifically, the identifier is a QR code, which can only be scanned by a specific app to retrieve the information contained therein. This specific app is only available to specific factory staff to prevent the leakage of production process information.

[0066] Example 2: This invention also provides another intelligent parameter tuning method, see [link to example]. Figure 2 It includes the following steps:

[0067] S201. Construct an equipment pool and a standard process parameter pool based on the production equipment combinations and process parameters corresponding to the production of different injection molded products; the production equipment combination includes an injection molding machine and several auxiliary equipment.

[0068] S202. Based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, select several sets of production equipment combinations that are consistent with the key parameters from the equipment pool as alternatives, and recommend one set as the best production equipment combination.

[0069] Of course, users may agree with or reject the recommended optimal combination of production equipment.

[0070] S203. If the user approves the optimal combination of production equipment, match the process parameters for producing this type of injection molded product from the standard process parameter pool, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

[0071] S204. 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 or all alternative production equipment combinations are recommended, or the user may configure the auxiliary equipment to form a new optimal production equipment combination.

[0072] Users may not accept the auxiliary equipment recommended in the optimal production equipment combination for some reason. In this case, the system can randomly select a new combination from the multiple alternative combinations. This process continues until the user accepts the recommendation or all alternative combinations have been recommended. The production equipment combination accepted by the user becomes the optimal production equipment combination.

[0073] Of course, users can also configure their own auxiliary equipment, and the auxiliary equipment configured by users can also become the best combination of production equipment.

[0074] S205. Match the process parameters for producing this type of injection molded product 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 adjusted.

[0075] Example 3: As Figure 3 As shown, the present invention also provides an intelligent parameter adjustment system for injection molding equipment, comprising:

[0076] The data construction module is used to construct an equipment pool and a standard process parameter pool based on the production equipment combinations and process parameters corresponding to the production of different injection molded products; the production equipment combinations include injection molding machines and several auxiliary equipment.

[0077] The recommendation module is used to select several sets of production equipment combinations that match the key parameters from the equipment pool as alternatives based on the type of injection molded product and the key parameters of the injection molding machine to be adjusted, and recommend one of them as the best production equipment combination.

[0078] 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.

[0079] 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.

[0080] In some embodiments, the recommendation module is specifically used to recommend one set as the optimal production equipment combination. This involves obtaining the total number of production batches, total output, and preset yield of the injection-molded products to be produced based on a preset production schedule. From a pool of candidate production equipment combinations, multiple 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 historical 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 optimal production equipment combination. Alternatively, if no 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 historical 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, and the production equipment combination with the highest average yield is selected as the optimal production equipment combination.

[0081] In other embodiments, the recommendation module is specifically used to select the optimal production equipment combination from a pool of candidate production equipment combinations when 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 a preset yield. The reference index is calculated in advance, for each injection-molded product, as the ratio of the number of times each production equipment combination is adopted to the number of times it is recommended. That is, each production equipment will correspond to a different reference index for different injection-molded products.

[0082] Example 4: The present invention also provides a computer program product, which includes a computer program that, when executed, can realize the above-mentioned intelligent parameter adjustment method for injection molding equipment.

[0083] Example 5: The present invention also provides a storage medium storing a computer program, which, when executed, can perform the above-described intelligent parameter adjustment method for injection molding equipment.

[0084] Example 6: The present invention also provides a computer system, including a processor and a memory, wherein the memory stores a computer program, which, when executed, can implement the above-mentioned intelligent parameter adjustment method for injection molding equipment.

[0085] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0086] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a computer terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0087] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for rapidly adjusting process parameters 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 production equipment combinations that match the key parameters are selected from the equipment pool as alternatives, and the production equipment combination with the highest reference index is recommended as the optimal production equipment combination; the key parameter is the tonnage of the injection molding machine; the reference index is the ratio of the number of times the production equipment combination is adopted to the number of times it is recommended. Match the optimal production equipment combination from the standard process parameter pool to the process parameters for producing this type of injection molded product, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

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

3. The method for rapidly adjusting process parameters of injection molding equipment according to claim 2, characterized in that: When recommending one of the production equipment combinations as the best production equipment 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, the production equipment combination with the largest reference index is 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.

4. The method for rapidly adjusting process parameters of 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 recommended alternative production equipment combinations, or the user may configure the auxiliary equipment to form a new optimal production equipment combination.

5. The method for rapidly adjusting process parameters of injection molding equipment according to claim 1, characterized in that: An identifier is affixed to the injection-molded product, which includes the quality inspection results, the production equipment combination that produced the injection-molded product, and the corresponding process parameters.

6. The method for rapidly adjusting process parameters of 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.

7. A system for rapidly adjusting process parameters of injection molding equipment, characterized in that... include: The data construction module is used to build equipment pools and standard process parameter pools based on the production equipment combinations 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 that match the key parameters from the equipment pool as candidates based on the injection molding product type and the key parameters of the injection molding machine to be adjusted, and recommend the production equipment combination with the highest reference index as the optimal production equipment combination; the reference index is the ratio of the number of times the production equipment combination is adopted to the number of times it is recommended. 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.

8. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed, implements a method for rapidly adjusting process parameters of an injection molding equipment as described in any one of claims 1 to 6.

9. A computer system, characterized in that: It includes a processor and a memory, wherein the memory stores a computer program that, when executed, implements a method for rapidly adjusting process parameters of an injection molding equipment as described in any one of claims 1 to 6.

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