Method and system for rapidly adjusting technological parameters of injection molding equipment and storage medium

Abstract

The invention discloses a method and system for rapidly adjusting process parameters of injection molding equipment and a storage medium. The method comprises the following steps: constructing an equipment pool and a standard process parameter pool based on production equipment combinations and process parameters corresponding to production of different injection molding products; the production equipment combination comprises an injection molding machine and a plurality of auxiliary equipment; according to the injection molding product type 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 to serve as alternatives, and at least one group with the maximum reference is recommended to serve as the optimal production equipment combination; and matching the process parameters of the optimal production equipment combination for producing the injection molding product of the type from a standard process parameter pool, and updating the process parameters to the injection molding machine to be adjusted and the auxiliary equipment. The parameter adjusting method does not need complex means such as model building, corresponding equipment and parameters are matched according to historical data, and the parameter adjusting method is simple, rapid and suitable for the field of injection molding.

Description

[0001] Divisional application This application is a divisional application of [Application Number: 202410918540.1] [Invention Name: A method and system for intelligent parameter adjustment of injection molding equipment, storage medium, and program product] filed on July 5, 2024. Technical Field

[0002] The invention belongs to the technical field of injection molding equipment parameter debugging, and in particular relates to a method and system for quickly adjusting injection molding equipment process parameters, and a storage medium. Background Art

[0003] With the increasing variety of plastic products, the requirements for injection molding process are also increasing. One injection molding machine with one specific injection mold can no longer meet the needs of production and processing. Considering the versatility, enterprises usually need to use multiple injection molds for one injection molding machine. Different injection molds are used for processing according to different production and processing tasks. However, different injection molds have different requirements for the injection molding process parameters of the injection molding machine. Specific injection molds need to be matched with the injection molding machine's specific injection speed, pressure, and specific clamping force and other injection molding process parameters to ensure that the molding accuracy of the product meets the processing requirements.

[0004] The existing parameter adjustment method is to manually debug each device one by one. On the one hand, it reduces the startup rate and processing rate. On the other hand, if each device finds the process parameters through trial production, that is, finds the process standard parameters for producing good products through trial and error, it will lead to more material waste and higher costs.

[0005] In addition, different equipment combinations may produce different injection molding products. Therefore, once the product is changed, it may be necessary to redesign and debug, which will undoubtedly further increase the cost. Moreover, it is heavily dependent on manual experience. Summary of the invention

[0006] The object of the present invention is to provide a method and system for quickly adjusting the process parameters of injection molding equipment, and a computer-readable storage medium, which can match appropriate production equipment combinations and process parameters according to historical data.

[0007] In order to solve the above-mentioned technical problems, the present invention specifically adopts the following technical solutions: One aspect of the present invention is to provide a method for quickly adjusting process parameters of an injection molding device, comprising: Building an equipment pool and a standard process parameter pool based on the production equipment combination and process parameters corresponding to the production of different injection molding products; the production equipment combination includes an injection molding machine and several auxiliary equipment; the injection molding products are marked as qualified injection molding products; According to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, several groups of production equipment combinations that are consistent with the key parameters are selected from the equipment pool as candidates, and a group of production equipment combinations with the largest reference index is recommended as the best 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; The process parameters for producing this type of injection molded product by matching the best production equipment combination are selected from the standard process parameter pool, and the process parameters are updated to the injection molding machine and auxiliary equipment to be adjusted.

[0008] As an improvement, for the same injection molded product, the equipment pool includes multiple production equipment combinations whose batch quantity of historically processed the same injection molded product is greater than a preset quantity threshold and whose average yield reaches a preset yield threshold.

[0009] 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 or the alternative production equipment combinations are exhausted, or the user configures the auxiliary equipment by himself to form a new optimal production equipment combination.

[0010] As an improvement, when recommending one of the groups as the best production equipment combination, the total number of production batches, the total output and the preset yield of the currently required injection molding products are obtained according to the preset production scheduling plan, and multiple production equipment combinations whose historical production batch numbers and historical total outputs are greater than or equal to the total number of production batches and their total outputs, and whose average product yields are greater than or equal to the preset yields are screened from the alternative groups of production equipment combinations, and then a production equipment combination is randomly selected from them as the best production equipment combination; Obtaining the actual product yield after the trial run, and determining whether the actual product yield reaches the preset yield. If not, selecting a production equipment combination with the largest average yield as the best production equipment combination; and, If no production equipment combination is matched whose number of historical production batches and whose total historical output are both greater than or equal to the total number of production batches and whose total output, and whose average product yield is greater than or equal to the preset yield, at least one production equipment combination whose average product yield is greater than or equal to the preset yield within a specified time period is matched for it, and the production equipment combination with the largest average yield is selected as the best production equipment combination.

[0011] As a further improvement, for each injection molding 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 whose historical number of production batches and their historical total output are greater than or equal to the total number of production batches and their total output, and whose average product yield is greater than or equal to the preset yield, are screened out from several groups of alternative production equipment combinations, a production equipment combination with the largest reference index is selected as the optimal production equipment combination.

[0012] As an improvement, a mark is set on the injection molded product, and the mark includes the quality inspection result, the combination of production equipment for producing the injection molded product and the corresponding process parameters.

[0013] As an improvement, the identifier is a QR code, and the information contained in the QR code can only be scanned by a specific APP.

[0014] As an improvement, a data collector is used to collect process parameters of production equipment combinations during the production of injection molding products, and the production equipment combinations and process parameters that produce qualified injection molding products are used to construct an equipment pool and a standard process parameter pool.

[0015] As an improvement, the key parameter is the tonnage of the injection molding machine.

[0016] A second aspect of the present invention is to provide a system for quickly adjusting process parameters of an injection molding device, comprising: A data construction module, used to construct an equipment pool and a standard process parameter pool based on a production equipment combination and process parameters corresponding to the production of different injection molding products; the production equipment combination includes an injection molding machine and several auxiliary equipment; the injection molding product is marked as a qualified injection molding product; A recommendation module is used to select several groups of production equipment combinations that are consistent with the key parameters in the equipment pool as candidates according to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, and recommend one of the groups as the best production equipment combination; A parameter matching module is used to match the process parameters of the best production equipment combination for producing the type of injection molded product from a standard process parameter pool, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted; The configuration module is used for the user to configure the auxiliary equipment by himself to form a new optimal production equipment combination when the user does not accept the auxiliary equipment in the optimal production equipment combination.

[0017] The present invention also provides a computer program product, which includes a computer program, and when the computer program is executed, it can implement the above-mentioned intelligent parameter adjustment method for injection molding equipment.

[0018] The third aspect of the present invention is to provide a storage medium, in which a computer program is stored. When the computer program is executed, the above-mentioned intelligent parameter adjustment method of the injection molding equipment can be implemented.

[0019] A fourth aspect of the present invention is to provide a computer system, comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed, the above-mentioned intelligent parameter adjustment method of the injection molding equipment can be implemented.

[0020] The present invention is beneficial in that: the present invention constructs an equipment pool and a standard process parameter pool through the data corresponding to the production of qualified injection molding products (or good products) in the historical data. When the newly purchased equipment needs to be debugged, the key parameters of the injection molding machine and the type of injection molding products are automatically matched in the standard process parameter pool to the process parameters for producing the corresponding qualified injection molding products, and automatically adapted to the new injection molding equipment and its auxiliary equipment, without manual parameter adjustment; further, in the equipment configuration stage, several production equipment combinations can be selected in the equipment pool according to the key parameters of the injection molding machine and the type of injection molding products for recommendation. If the user accepts the recommendation, the corresponding process parameters are matched in the standard process parameter pool according to the recommendation and the process parameters are synchronized to the corresponding production equipment combination. If the user does not accept the recommendation, the production equipment combination can continue to be recommended to the user, or the user can configure the auxiliary equipment matching the injection molding machine by himself to form a production equipment combination, and the corresponding process parameters are matched in the standard process parameter pool according to the production equipment combination configured by the user, and the process parameters are synchronized to the corresponding production equipment combination.

[0021] In addition, in the present invention, a QR code is set on the injection molded product for digital traceability, so as to combine the injection molded product with the production equipment, the corresponding process description and the quality evaluation. The above QR code can only be scanned by a dedicated APP to protect the manufacturer's technical secrets.

[0022] The parameter adjustment method of the present invention does not require complex means such as building a model, and relies on historical data to match corresponding equipment and parameters. It is simple and fast and is suitable for the field of injection molding. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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 scale. Obviously, the drawings described below are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without paying creative labor.

[0024] Figure 1 It is a flow chart of an intelligent parameter adjustment method for injection molding equipment according to an embodiment of the present invention; Figure 2 A flowchart of an intelligent parameter adjustment method for injection molding equipment according to another embodiment of the present invention; 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 DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Herein, suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings by themselves. Therefore, "module", "component" or "unit" can be used mixedly.

[0027] In this document, the terms "upper", "lower", "inner", "outer", "front", "back", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0028] In this document, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" 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, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] Herein "and / or" includes any and all combinations of one or more of the associated listed items.

[0030] Herein, "plurality" means two or more than two, ie, it includes two, three, four, five, etc.

[0031] 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: based on the current material properties, retrieving historical data on the mapping relationship between material properties and process parameters, obtaining recommended process parameters corresponding to the historical material properties closest to the current material properties; using the recommended process parameters as the starting point for optimization, based on the trained regression model, adjusting the process parameters until the local optimal process parameters that meet the expected measurement results are obtained.

[0032] In the above-mentioned prior art, the process parameters are adjusted by establishing a regression model to obtain the optimal process parameters. This method requires a high degree of professionalism and is difficult to implement because it requires the establishment of a model. In addition, in the field of injection molding technology, different equipment combinations can produce the same product, and the same equipment combination (except for molds) can also produce different products. Therefore, for the same product, different equipment combinations and process parameters can be selected.

[0033] Example 1: In order to adapt to the parameter debugging of injection molding equipment, such as Figure 1 As shown, the present invention provides an intelligent parameter adjustment method for injection molding equipment, comprising: S101. 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 molding products; the production equipment combination includes an injection molding machine and several auxiliary equipment.

[0034] Specifically, in the past production process, the data collector is used to collect the process parameters of the production equipment combination in the process of producing injection molded products, and the production equipment combination that produces qualified injection molded products (i.e., good products) and the process parameters when producing qualified injection molded products are used to build an equipment pool and a standard process parameter pool. The qualified injection molded products can be approved by quality inspection or by customers.

[0035] For example, the injection molding machine and auxiliary equipment such as mold temperature controller and temperature control box used in the production of a certain injection molding product are recorded, and their model types such as tonnage and power are recorded, and the process descriptions in the production process such as pressure, temperature, time, etc. are collected at the same time. If the injection molding product is finally judged to be qualified, the above-mentioned recorded data will be added to the equipment pool and the standard process parameter pool.

[0036] Usually, for the same injection molding product and the same set of production equipment combination, after debugging, the set of production equipment will usually continue to operate under the set of process parameters, unless the equipment fails or the injection molding product or mold is replaced, causing the situation to change. Therefore, in this embodiment, it is only necessary to enter the process parameters of the qualified injection molding product produced by the production equipment combination into the equipment pool, or the yield of the injection molding products obtained in a batch reaches the preset yield, and the equipment combination and its corresponding process parameters can be entered into the equipment pool.

[0037] However, using the yield of a single qualified injection molding product or a single batch as the entry standard will, on the one hand, make the construction of the equipment pool and the standard process parameter pool huge, and there may be a large amount of duplicate data, thereby increasing the workload of subsequent screening steps; on the other hand, the fact that a single qualified or single batch yield meets the requirements does not prove that the production equipment combination and its process parameters are reliable or stable. For example, if some production equipment combinations are only used as an emergency for a certain batch or a certain period of time, or for other reasons, they only process very few batches 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.

[0038] In view of this, in order 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 molding product, only multiple production equipment combinations whose historical processing batch number of the same injection molding product is greater than the preset quantity threshold and whose average yield of historical processing reaches the preset yield threshold are screened. Each production batch has a corresponding yield, so the average yield refers to the average yield of all historical production batches of the production equipment combination (of course, it can also be the average yield of historical production batches within a specified time period).

[0039] S102, according to the type of injection molded 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 in the equipment pool as alternatives, and recommend one of the groups as the best production equipment combination.

[0040] When purchasing new equipment or replacing products, it is necessary to debug the parameters of the equipment. At this time, according to the type of injection molding products to be produced and the key parameters (preferably tonnage) of the injection molding machine to be adjusted, the production equipment combination that produces the above injection molding products with the same tonnage as the injection molding machine to be adjusted can be selected from the equipment pool. The reason for taking tonnage as a key parameter is that in general, 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 of other auxiliary equipment that needs to be configured.

[0041] Of course, since there is more than one combination of production equipment for producing the same injection molding product, multiple combinations of production equipment can be screened out, and then one group is randomly selected from the multiple groups of production equipment combinations screened out as the best combination of production equipment.

[0042] In other embodiments, according to the yield and output of the injection molding products of this type in the preset production period (for example, the most recent month) in the historical data, a group of optimal production equipment combinations is matched for the injection molding products of this type from several groups of alternative production equipment combinations. Specifically, according to the production schedule, 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) and the preset yield that the current production equipment combination to be debugged will undertake in this production schedule are obtained, and according to the total output, the total number of production batches and the preset yield, multiple production equipment combinations are further screened from several groups of production equipment combinations (specifically, 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) in a production schedule are greater than or equal to the total number of production batches and their total output that the production equipment combination to be debugged will undertake in this production schedule, and the average product yield is greater than or equal to the preset yield), and then 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 matched with at least one set of production equipment among the above-mentioned sets of production equipment combinations.

[0043] In addition, since there are still some differences between the production equipment combination to be debugged and the existing production equipment combination, after setting the process parameters, 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 trial operation can be carried out first, and it can be determined whether the injection molded product obtained from the trial operation is a qualified product. If it is not a qualified product, the best production equipment combination is re-matched; if it is a qualified product, a production batch or a preset number of times is trial-run, and the corresponding actual product yield is obtained), and it can be determined whether the actual product yield reaches the preset yield. If not, a production equipment combination with the highest yield is re-selected as the best production equipment combination.

[0044] Of course, if the actual production schedule is adjusted, or other circumstances result in a production equipment combination whose number of historical production batches and whose total historical output are greater than or equal to the total number of generated batches and their total output, and whose average product yield is greater than or equal to the preset yield, then at this time, it is necessary to adjust the screening criteria to only match multiple production equipment combinations whose 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, therefore, the most recent week or the most recent month can be specified).

[0045] Usually, in the same production period, a group of production equipment can only produce one injection molding product, and different outputs mean different working intensities of the equipment, and the equipment operating status may also be different. The group of equipment combinations with the highest yield for the same injection molding product with the same output to a certain extent indicates that the various process parameters of the equipment combination are optimal, and can make the group of equipment in the best working state (of course, excluding factors such as failures or human factors). Therefore, when it is necessary to produce an injection molding product, if a group of production equipment combinations with the same or greater production batch number and total output, and an average yield greater than or equal to the preset yield, can be found, the yield of the product can be guaranteed as much as possible by replicating the process parameters of the equipment combination.

[0046] 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 it is recommended is calculated as its reference index. When multiple production equipment combinations whose historical number of production batches and their historical total output are greater than or equal to the total number of production batches and their total output, and whose average product yield is greater than or equal to a preset yield, are screened out from several groups of alternative production equipment combinations, a production equipment combination with the largest reference index is selected as the optimal production equipment combination.

[0047] In the early stage of system operation, without any preliminary reference or expert participation, most users will directly adopt the production equipment combination recommended by the system. However, after the system has been running for a period of time and a certain amount of historical data has been accumulated, users usually decide whether to adopt the recommendation based on the actual situation, or screen out a more suitable production equipment combination with the participation of experienced commissioning staff. Therefore, the ratio of the number of times each production equipment combination is adopted (including the situation that it is recommended by the system and adopted by the user, or the situation that it is not recommended by the system but actively selected by the user) and the number of times it is recommended can be used to measure whether the generated equipment combination is suitable as a reference standard for subsequent commissioning of new production equipment combinations. Specifically, if the reference index is smaller, it means that even if the production equipment combination is recommended, it may not meet the user's expectations, or there are more suitable ones after expert screening. Therefore, in the subsequent system recommendation, it will gradually be ranked at the back. Of course, if the reference index is larger, it means that the production equipment combination and its process parameters have been used as reference standards for other production equipment many times, that is, its process parameters are more reliable, and have been proven by a lot of practice. Therefore, the production equipment combination with a larger reference index is preferred.

[0048] S103, matching the process parameters of the best production equipment combination for producing the type of injection molded product from the standard process parameter pool, and updating the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

[0049] The process parameters of the production equipment combination as the best production equipment combination when producing this type of injection molding products have been added to the standard process parameter pool. Therefore, you only need to enter the type of injection molding product and the production equipment combination to match the corresponding process parameters from the standard process parameter pool, and then match the process parameters to the injection molding machine to be adjusted and its auxiliary equipment.

[0050] In addition, in order to achieve digital traceability, in this implementation, a label can be set on the injection molded product produced after adjusting the parameters using the above method. The label includes the quality inspection results, the production equipment combination for producing the injection molded product, and the corresponding process parameters.

[0051] More specifically, the logo is a QR code, and the information contained in the QR code can only be scanned using a specific APP. The specific APP is only used by specific factory staff to avoid leakage of production process.

[0052] Embodiment 2: The present invention also provides another intelligent parameter adjustment method, see Figure 2 , which comprises the steps of: S201. Construct an equipment pool and a standard process parameter pool based on the production equipment combination and process parameters corresponding to the production of different injection molding products; the production equipment combination includes an injection molding machine and several auxiliary equipment.

[0053] S202. According to the type of injection molded product and the key parameters of the injection molding machine to be adjusted, select several groups of production equipment combinations that are consistent with the key parameters in the equipment pool as alternatives, and recommend one of the groups as the best production equipment combination.

[0054] Of course, users may agree or reject the recommended optimal production equipment combination.

[0055] S203. When the user approves the best production equipment combination, the process parameters for producing the type of injection molded product with the best production equipment combination are matched from the standard process parameter pool, and the process parameters are updated to the injection molding machine and auxiliary equipment to be adjusted.

[0056] S204. In the case that the user does not accept the auxiliary equipment in the optimal 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 by himself to form a new optimal production equipment combination.

[0057] The user may not accept the auxiliary equipment recommended in the best production equipment combination for some reason. In this case, the system can randomly select a group of 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 best production equipment combination.

[0058] Of course, users can also configure auxiliary equipment by themselves, and the auxiliary equipment configured by users themselves can also become the best production equipment combination.

[0059] S205, matching the process parameters of the best production equipment combination for producing the type of injection molded product from the standard process parameter pool according to the best production equipment combination, and updating the process parameters to the injection molding machine and auxiliary equipment to be adjusted.

[0060] Example 3: Figure 3 As shown, the present invention also provides an intelligent parameter adjustment system for injection molding equipment, comprising: A data construction module, used to construct an equipment pool and a standard process parameter pool based on the production equipment combination and process parameters corresponding to the production of different injection molding products; the production equipment combination includes an injection molding machine and several auxiliary equipment; A recommendation module is used to select several groups of production equipment combinations that are consistent with the key parameters in the equipment pool as candidates according to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, and recommend one of the groups as the best production equipment combination; A parameter matching module is used to match the process parameters of the best production equipment combination for producing the type of injection molded product from a standard process parameter pool, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted; The configuration module is used for the user to configure the auxiliary equipment by himself to form a new optimal production equipment combination when the user does not accept the auxiliary equipment in the optimal production equipment combination.

[0061] In some embodiments, the above-mentioned recommendation module is specifically used to recommend one of the groups as the best production equipment combination, and the total number of production batches, total output and preset yield of the injection molding products to be produced are obtained according to the preset production schedule, and multiple production equipment combinations whose historical number of production batches and their historical total output are greater than or equal to the total number of production batches and their total output, and whose average product yield is greater than or equal to the preset yield are screened from several groups of alternative production equipment combinations, and then one production equipment combination is randomly selected from them as the best production equipment combination; or, when a production equipment combination whose historical number of production batches and its historical total output are greater than or equal to the total number of production batches and their total output, and whose average product yield is greater than or equal to the preset yield is not matched, at least one production equipment combination whose average product yield is greater than or equal to the preset yield within a specified time period is matched, and the production equipment combination with the largest average yield is selected as the best production equipment combination.

[0062] In other embodiments, the recommendation module is specifically used to select a production equipment combination with the largest reference index as the best production equipment combination when multiple production equipment combinations whose historical production batch numbers and historical total outputs are greater than or equal to the total number of production batches and total outputs and whose average product yields are greater than or equal to the preset yields are screened from a plurality of alternative production equipment combinations. The reference index is: for each injection molding product, the ratio of the number of times each production equipment combination is adopted to the number of times it is recommended is pre-calculated. That is, each production equipment corresponding to different injection molding products will correspond to different reference indexes.

[0063] Embodiment 4: The present invention also provides a computer program product, which includes a computer program, and when the computer program is executed, it can implement the above-mentioned intelligent parameter adjustment method of injection molding equipment.

[0064] Embodiment 5: The present invention further provides a storage medium, wherein a computer program is stored in the storage medium. When the computer program is executed, the above-mentioned intelligent parameter adjustment method of the injection molding equipment can be implemented.

[0065] Embodiment 6: The present invention also provides a computer system, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed, the above-mentioned intelligent parameter adjustment method of the injection molding equipment can be implemented.

[0066] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a computer terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0068] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A method for quickly adjusting the process parameters of an injection molding device, characterized in that include: Build equipment pool and standard process parameter pool based on the production equipment combination and process parameters corresponding to the production of different injection molding products; The production equipment combination includes an injection molding machine and several auxiliary equipment; the injection molded product is marked as a qualified injection molded product; According to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, several groups of production equipment combinations that are consistent with the key parameters are selected from the equipment pool as candidates, and a group of production equipment combinations with the largest reference index is recommended as the best 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; The process parameters for producing this type of injection molded product by matching the best production equipment combination are selected from the standard process parameter pool, and the process parameters are updated to the injection molding machine and auxiliary equipment to be adjusted.

2. A method for rapidly adjusting process parameters of an injection molding device according to claim 1, characterized in that: For the same injection molded product, the equipment pool includes multiple production equipment combinations whose batch quantity of historically processed the same injection molded product is greater than a preset quantity threshold and whose average yield reaches a preset yield threshold.

3. A method for rapidly adjusting process parameters of an injection molding device according to claim 2, characterized in that: When recommending one of the groups as the best production equipment combination, the total number of production batches, the total output and the preset yield of the injection molding product to be produced are obtained according to the preset production schedule, and multiple production equipment combinations whose historical production batch numbers and historical total outputs are greater than or equal to the total number of production batches and their total outputs, and whose average product yields are greater than or equal to the preset yields are screened from the alternative production equipment combinations, and then a production equipment combination with the largest reference index is selected as the best production equipment combination; Obtaining the actual product yield after the trial run, and determining whether the actual product yield reaches the preset yield. If not, selecting a production equipment combination with the largest average yield as the best production equipment combination; and, If no production equipment combination is matched whose number of historical production batches and whose total historical output are both greater than or equal to the total number of production batches and whose total output, and whose average product yield is greater than or equal to the preset yield, at least one production equipment combination whose average product yield is greater than or equal to the preset yield within a specified time period is matched for it, and the production equipment combination with the largest average yield is selected as the best production equipment combination.

4. The method for rapidly adjusting the process parameters of an injection molding device according to claim 1, characterized in that: In the case that the user does not accept the auxiliary equipment in the optimal production equipment combination, other auxiliary equipment is recommended from the alternative production equipment combination until the user accepts the recommendation of the alternative production equipment combination, or the user configures the auxiliary equipment by himself to form a new optimal production equipment combination.

5. The method for rapidly adjusting the process parameters of an injection molding device according to claim 1, characterized in that: A mark is set on the injection molded product, wherein the mark includes a quality inspection result, a combination of production equipment for producing the injection molded product, and corresponding process parameters.

6. A method for rapidly adjusting process parameters of injection molding equipment according to claim 5, characterized in that: The logo is a QR code, and the QR code can only be scanned with a specific APP to obtain corresponding information.

7. A method for rapidly adjusting process parameters of an injection molding device according to claim 1, characterized in that: The data collector is used to collect the process parameters of the production equipment combination in the process of producing injection molded products, 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.

8. A system for rapidly adjusting the process parameters of an injection molding machine, characterized in that include: Data construction module, used to build equipment pool and standard process parameter pool based on the production equipment combination and process parameters corresponding to the production of different injection molding products; The production equipment combination includes an injection molding machine and several auxiliary equipment; the injection molded product is marked as a qualified injection molded product; A recommendation module is used to select several groups of production equipment combinations that are consistent with the key parameters of the injection molding machine to be adjusted from the equipment pool as candidates according to the type of injection molding product and the key parameters of the injection molding machine to be adjusted, and recommend a group of production equipment combinations with the largest reference index as the best 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; A parameter matching module is used to match the process parameters of the best production equipment combination for producing the type of injection molded product from a standard process parameter pool, and update the process parameters to the injection molding machine and auxiliary equipment to be adjusted; The configuration module is used for the user to configure the auxiliary equipment by himself to form a new optimal production equipment combination when the user does not accept the auxiliary equipment in the optimal production equipment combination.

9. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed, can implement a method for quickly adjusting process parameters of an injection molding device as described in any one of claims 1 to 7.

10. A computer system, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed, a method for quickly adjusting the process parameters of an injection molding equipment as described in any one of claims 1 to 7 can be implemented.

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