A method and system for improving the processing purity of a rubber sheet
By monitoring and calibrating the parameters of each process step in the rubber sheet preparation process, and optimizing the mixing process in conjunction with a purity assessment model, the problem of insufficient purity of rubber sheets in the existing technology has been solved, and the purity of the finished rubber sheet has been improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-03
- Publication Date
- 2026-03-31
AI Technical Summary
Existing technologies cannot calibrate and compare parameters for each process step in the preparation of rubber sheets, which makes it impossible to improve the purity of the prepared rubber sheets.
By intelligently monitoring and calibrating the parameters of each important process step in the rubber sheet preparation process, and using the uniform mixing information and mixing method of raw rubber and various compounding agents as optimization parameters, and combining them with the rubber sheet preparation purity evaluation model for integrated training, the mixing process is optimized to improve the preparation purity.
The purity of rubber sheet preparation based on the mixing process was improved, thus increasing the purity of the finished rubber sheet.
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Figure CN116985443B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of artificial intelligence, and more specifically, to a method and system for improving the purity of rubber sheet processing. Background Technology
[0002] The production process of rubber sheets involves basic steps such as plasticizing, mixing, calendering or extrusion, molding, and vulcanization. Each step has different requirements for the finished product and is accompanied by several auxiliary operations. However, the purity evaluation of existing rubber sheet products is inconsistent, which seriously affects the service life of these rubber products.
[0003] However, in the process of implementing the inventive technical solution in the embodiments of this application, the inventors of this application discovered that the above-mentioned technology has at least the following technical problems:
[0004] Existing technologies have the technical problem that it is impossible to calibrate and compare the parameters of each process in the preparation of rubber sheets, which makes it impossible to improve the purity of the rubber sheets during the preparation process. Summary of the Invention
[0005] To address the shortcomings of existing technologies, the purpose of this application is to provide a method and system for improving the processing purity of rubber sheets. This solves the technical problem in existing technologies where parameter calibration and comparison of each process step in rubber sheet preparation is impossible, thus hindering the improvement of rubber sheet purity during preparation. By intelligently monitoring and calibrating parameters at each crucial process stage in rubber sheet preparation—using the material information after uniform mixing of raw rubber and various compounding agents as the first optimization parameter and the mixing method of raw rubber and various compounding agents as the second optimization parameter—the mixing process in rubber sheet preparation is calibrated. Simultaneously, based on a rubber sheet preparation purity evaluation model, the various input process parameters are integrated and trained to obtain preset preparation purity information under ideal conditions. This allows for adjustment and optimization of the actual preparation purity, achieving the technical effect of improving the processing purity of rubber sheets based on the mixing process, thereby increasing the purity of the finished rubber sheet.
[0006] On one hand, embodiments of this application provide a method for improving the processing and preparation purity of rubber sheets, wherein the method includes: obtaining first rubber sheet order information, wherein the first rubber sheet order information includes a first rubber sheet application and a first order quantity; determining first compounding agent dosage information based on the first rubber sheet application; obtaining first rubber raw material ratio information; mixing the first rubber raw material according to the first compounding agent dosage information and the first rubber raw material ratio information to obtain first mixing material information, and using it as a first optimization parameter; determining a first mixing method for mixing the first rubber raw material according to the first order quantity, and using it as a second optimization parameter, wherein the first mixing method includes a first stirring force and a first feeding cycle; inputting the first optimization parameter and the second optimization parameter into a rubber sheet preparation purity evaluation model for training to obtain preset preparation purity information of the first rubber sheet; and adjusting and optimizing the actual preparation purity of the first rubber sheet according to the preset preparation purity information.
[0007] On the other hand, this application also provides a system for improving the processing purity of rubber sheets, wherein the system includes: a first obtaining unit: the first obtaining unit is used to obtain first rubber sheet order information, wherein the first rubber sheet order information includes the purpose of the first rubber sheet and a first order quantity; a first determining unit: the first determining unit is used to determine the dosage information of a first compounding agent based on the purpose of the first rubber sheet; a second obtaining unit: the second obtaining unit is used to obtain first rubber raw material proportioning information; and a third obtaining unit: the third obtaining unit is used to mix the first rubber raw material based on the first compounding agent dosage information and the first rubber raw material proportioning information. The system obtains information on the first mixing materials and uses it as the first optimization parameter; a second determining unit: the second determining unit is used to determine a first mixing method for mixing the first rubber raw material based on the first order quantity and uses it as the second optimization parameter, the first mixing method including a first stirring force and a first feeding cycle; a first input unit: the first input unit is used to input the first optimization parameter and the second optimization parameter into the rubber sheet preparation purity evaluation model for training, and obtain preset preparation purity information of the first rubber sheet; a first adjustment unit: the first adjustment unit is used to adjust and optimize the actual preparation purity of the first rubber sheet based on the preset preparation purity information.
[0008] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:
[0009] By intelligently monitoring and calibrating parameters at each crucial stage of the rubber sheet preparation process—specifically, using the material information after uniform mixing of raw rubber and various compounding agents as the first optimization parameter and the mixing method of raw rubber and various compounding agents as the second optimization parameter—the mixing process parameters in the rubber sheet preparation process are calibrated. Simultaneously, based on the rubber sheet preparation purity evaluation model, the various input process parameters are integrated and trained to obtain the preset preparation purity information under ideal conditions. This allows for the adjustment and optimization of the actual preparation purity, achieving the technical effect of improving the processing purity of rubber sheets based on the mixing process, thereby improving the purity of the finished rubber sheet.
[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description
[0011] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:
[0012] Figure 1 This is a schematic flowchart illustrating a method for improving the purity of rubber sheet processing according to an embodiment of this application.
[0013] Figure 2 This is a schematic flowchart illustrating a method for improving the processing purity of a rubber sheet according to an embodiment of this application, in which the actual processing purity of the first rubber sheet is adjusted and optimized based on the first influence coefficient.
[0014] Figure 3 This is a schematic flowchart illustrating a method for improving the processing purity of rubber sheets according to a preset rolling method, wherein the first rolling pressure and the first rolling coverage are adjusted.
[0015] Figure 4 This is a flowchart illustrating a method for improving the processing and preparation purity of rubber sheets according to an embodiment of this application, which predicts the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information in reverse based on the first mapping relationship.
[0016] Figure 5 This is a schematic diagram of a system for improving the purity of rubber sheet processing according to an embodiment of this application;
[0017] Figure 6 This is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of this application. Detailed Implementation
[0018] This application provides a method and system for improving the processing purity of rubber sheets, solving the technical problem in the prior art where parameter calibration and comparison of each process flow in rubber sheet preparation is impossible, thus hindering the improvement of rubber sheet preparation purity. By intelligently monitoring and calibrating parameters at each important process stage in rubber sheet preparation—using the material information after uniform mixing of raw rubber and various compounding agents as the first optimization parameter and the mixing method of raw rubber and various compounding agents as the second optimization parameter—the mixing process in rubber sheet preparation is calibrated. Simultaneously, based on a rubber sheet preparation purity evaluation model, the various input process parameters are integrated and trained to obtain preset preparation purity information under ideal conditions. This allows for adjustment and optimization of the actual preparation purity, achieving the technical effect of improving the processing purity of rubber sheets based on the mixing process, thereby increasing the purity of the finished rubber sheet.
[0019] The following describes in detail exemplary embodiments according to the present application with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application. It should be understood that the present application is not limited to the exemplary embodiments described herein.
[0020] Application Overview
[0021] The production process of rubber sheets involves basic steps such as plasticizing, mixing, calendering or extrusion, molding, and vulcanization. Each step has different requirements for the finished product and is accompanied by several auxiliary operations. However, the purity evaluation of existing rubber sheet preparations is inconsistent, seriously affecting the service life of these rubber products. Existing technologies suffer from the inability to calibrate and compare parameters for each process step in rubber sheet preparation, making it impossible to improve the purity of the rubber sheets during the preparation process.
[0022] To address the aforementioned technical problems, the overall approach of the technical solution provided in this application is as follows:
[0023] This application provides a method for improving the processing purity of rubber sheets. The method includes: obtaining first rubber sheet order information, wherein the first rubber sheet order information includes a first rubber sheet application and a first order quantity; determining first compounding agent dosage information based on the first rubber sheet application; obtaining first rubber raw material ratio information; mixing the first rubber raw material according to the first compounding agent dosage information and the first rubber raw material ratio information to obtain first mixing material information, which is used as a first optimization parameter; determining a first mixing method for mixing the first rubber raw material according to the first order quantity, which is used as a second optimization parameter, wherein the first mixing method includes a first stirring force and a first feeding cycle; inputting the first optimization parameter and the second optimization parameter into a rubber sheet preparation purity evaluation model for training to obtain preset preparation purity information of the first rubber sheet; and adjusting and optimizing the actual preparation purity of the first rubber sheet according to the preset preparation purity information.
[0024] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.
[0025] Example 1
[0026] like Figure 1 As shown in the embodiment of this application, a method for improving the processing purity of rubber sheets is provided, wherein the method includes:
[0027] Step S100: Obtain the first rubber sheet order information, wherein the first rubber sheet order information includes the purpose of the first rubber sheet and the quantity of the first order;
[0028] Step S200: Determine the dosage information of the first compounding agent according to the purpose of the first adhesive sheet;
[0029] Specifically, the production process of rubber sheets involves basic steps such as plasticizing, mixing, calendering or extrusion, molding, and vulcanization. Each step has different requirements for the finished product and is accompanied by several auxiliary operations. However, the purity of existing rubber sheet products varies. To improve the purity of rubber sheet processing, in this embodiment, intelligent monitoring can be performed on each important process step in the rubber sheet preparation process, thereby improving the purity of the finished rubber sheet. Furthermore, the first rubber sheet order information is the order requirements of the customer for the rubber sheets to be ordered, specifically including the first rubber sheet application, i.e., what the ordered rubber sheets will be used for, such as tires, rubber sheets, and rubber hoses. The first order quantity is the number of rubber sheets required by the customer. Then, based on the first rubber sheet application, the dosage information of the first compounding agent is determined. Because the plasticity of rubber sheets varies with different applications, the dosage information of the corresponding compounding agents also varies. The first compounding agent includes carbon black, various rubber additives, etc. With the known rubber sheet order information, the purity of the preparation can be further specified.
[0030] Step S300: Obtain the first rubber raw material proportioning information;
[0031] Step S400: Based on the dosage information of the first compounding agent and the proportion information of the first rubber raw material, the first rubber raw material is mixed to obtain the first mixing material information, which is used as the first optimization parameter;
[0032] Specifically, the first rubber raw material proportioning information refers to the proportion of each component in the prepared rubber raw material, including the proportions of raw rubber, accelerators, and metals. Then, based on the first compounding agent dosage information and the first rubber raw material proportioning information, the first rubber raw material is mixed to obtain the first mixing material information, which serves as the first optimization parameter. Specifically, mixing is the process of uniformly mixing raw rubber with various compounding agents through mechanical action. By uniformly mixing raw rubber with various compounding agents, the performance of the rubber can be improved, the processing performance can be enhanced, and costs can be reduced. The first mixing material information is the material information after uniformly mixing raw rubber with various compounding agents, and it can be used as the first optimization parameter to calibrate the mixing process during rubber sheet preparation, thereby improving the purity of the finished product.
[0033] Step S500: Based on the quantity of the first order, determine a first mixing method for mixing the first rubber raw material and use it as a second optimization parameter. The first mixing method includes a first stirring force and a first feeding cycle.
[0034] Specifically, there are various methods for mixing rubber raw materials. The optimal method can be selected based on the specific circumstances. That is, the first mixing method for mixing the first rubber raw material is determined according to the quantity of the first order. Generally speaking, mixing methods include batch mixing (open mixing mill, closed mixing mill), continuous mixing (continuous mixing mill), and open mill: these are highly flexible and suitable for small-scale, small-batch rubber products with frequent changes in varieties and low usage, especially suitable for sponge rubber, hard rubber, etc. The first mixing method can be used as the second optimization parameter, because the mixing method also affects the rubber mixing process, and thus affects the purity of the finished product. The first mixing method includes the first stirring intensity and the first feeding cycle. For example, if the order quantity is large, when producing the same batch of finished rubber products, in order to ensure that the raw rubber and various compounding agents are mixed evenly, it is necessary to increase the stirring intensity and appropriately control the feeding cycle of adding various compounding agents to the raw rubber to ensure that the raw rubber and various compounding agents are mixed evenly.
[0035] Step S600: Input the first optimization parameters and the second optimization parameters into the rubber sheet preparation purity evaluation model for training, and obtain the preset preparation purity information of the first rubber sheet;
[0036] Step S700: Adjust and optimize the actual purity of the first rubber sheet according to the preset purity information.
[0037] Specifically, the purity of the finished product can be improved by appropriately controlling the material information after the raw rubber and various compounding agents are uniformly mixed, as well as the method of uniformly mixing the raw rubber and various compounding agents. This can be achieved by inputting the first optimization parameter and the second optimization parameter into the rubber sheet preparation purity evaluation model for training. The rubber sheet preparation purity evaluation model can integrate and train various input process parameters until the preset preparation purity information under ideal conditions is obtained. Then, the actual preparation purity of the first rubber sheet is adjusted and optimized based on the preset preparation purity information, thereby achieving the technical effect of improving the processing purity of the rubber sheet based on the mixing process.
[0038] Furthermore, such as Figure 2 As shown, embodiments of this application also include:
[0039] Step S810: Based on the camera, image acquisition is performed on the surface of the first rubber sheet finished product to obtain the first surface image information;
[0040] Step S820: Based on the first surface image information, the positions of the rubber sheet marks on the surface of the first rubber sheet finished product are marked to obtain a first position marking set;
[0041] Step S830: Determine the actual depth information of each adhesive strip stain based on the first location calibration set, and use it as the first feature parameter;
[0042] Step S840: Based on the first surface image information, obtain the actual bubble information on the surface of the first rubber sheet finished product, and use it as the second feature parameter;
[0043] Step S850: Obtain the first influence coefficient based on the first feature parameter and the second feature parameter;
[0044] Step S860: Adjust and optimize the actual purity of the first rubber sheet according to the first influence coefficient.
[0045] Specifically, in order to adjust and optimize the actual purity of the first rubber sheet, further, the surface of the finished first rubber sheet can be imaged using a camera to obtain first surface image information. The first surface image information includes the image information of the finished rubber sheet surface, whether it includes defects such as rubber sheet blemishes or uneven parts, and then the positions of the rubber sheet blemishes on the surface of the finished first rubber sheet are marked to obtain a first position marking set, that is, the places with defects on the finished sheet are marked. The first position marking set is the set of positions of all defects. At the same time, further, based on the first position marking set, the actual depth information of each rubber sheet blemish is determined as the first feature parameter, that is, the scar depth is used as the refined first feature parameter. Generally speaking, the depth or height of the rubber sheet blemishes or uneven parts on the surface of the rubber sheet should not exceed the rubber sheet thickness tolerance. The depth and length of impurities should not exceed the rubber sheet thickness and should not be less than 40 mm. The width of uneven or spongy parts on the rubber sheet edge should not exceed 10 mm, and the length should not exceed 1 / 10 of the total length of the rubber sheet. Cracks are not allowed. Meanwhile, the actual bubble information on the surface of the finished rubber sheet is used as the refined second characteristic parameter. If the rolling is not done properly in the molding process of the rubber sheet, bubbles are easily generated, reducing the purity of the finished product. Generally speaking, there should be no more than 5 bubbles per square meter, and the distance between any two bubbles should be no less than 40 mm. Based on the first characteristic parameter and the second characteristic parameter, a first influence coefficient is obtained. The first influence coefficient is the influence of rubber sheet blemishes and actual bubbles on the surface of the finished rubber sheet on the purity of the finished product. Then, based on the first influence coefficient, the actual preparation purity of the first rubber sheet is adjusted and optimized, thus realizing the adjustment and optimization of the actual preparation purity of the first rubber sheet.
[0046] Furthermore, such as Figure 3 As shown, embodiments of this application also include:
[0047] Step S861: Obtain the position calibration of each bubble based on the actual bubble information;
[0048] Step S862: Based on the position calibration of each bubble, determine the average spacing information of each bubble;
[0049] Step S863: Based on the average spacing information, predict in reverse the first rolling pressure and the first rolling coverage for rolling the first compound material.
[0050] Step S864: Based on the preset purity information, obtain a preset rolling method for the first compound material;
[0051] Step S865: Adjust the first compaction pressure and the first compaction coverage according to the preset compaction method.
[0052] Specifically, to further adjust and optimize the actual purity of the first rubber sheet, the position of each bubble can be determined based on the actual bubble information. This involves locating the locations where bubbles appearing and determining the average spacing between each bubble. Generally, no more than five bubbles per square meter are allowed, and the distance between any two bubbles should be no less than 40mm. By obtaining the average spacing between each bubble, the initial rolling pressure and initial rolling coverage of the first compound material can be predicted. For example, if the initial rolling pressure is insufficient, then... This increases the number of air bubbles per square meter. If the first rolling coverage is insufficient, the spacing between air bubbles will increase, thereby reducing the purity of the finished product. To avoid this problem, a preset rolling method for the first compound material can be obtained based on the preset preparation purity information. The preset rolling method can fully roll the first compound material to achieve optimal purity of the finished rubber sheet. Furthermore, the first rolling pressure and the first rolling coverage can be adjusted according to the preset rolling method, achieving a more in-depth adjustment and optimization of the actual preparation purity of the first rubber sheet.
[0053] Furthermore, such as Figure 4 As shown, step S200, which determines the dosage information of the first compounding agent based on the intended use of the first adhesive sheet, further includes:
[0054] Step S210: Obtain the first raw material adhesive strength information based on the first rubber raw material ratio information;
[0055] Step S220: Obtain the initial dosage information of the compounding agent based on the adhesive strength information of the first raw material;
[0056] Step S230: Obtain the adhesive strength information of the second raw material after the initial addition based on the initial addition amount of the compounding agent;
[0057] Step S240: Determine the first mapping relationship based on the adhesive strength information of the second raw material and the initial dosage information of the added compounding agent;
[0058] Step S250: Obtain preset raw material adhesive strength information according to the intended use of the first adhesive sheet;
[0059] Step S260: Based on the first mapping relationship, reverse predict the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information.
[0060] Specifically, in order to determine the dosage information of the first compounding agent based on the intended use of the first rubber sheet, the following steps can be taken: First raw material adhesive strength information can be obtained based on the first rubber raw material ratio information, i.e., the initial adhesive strength information before adding the compounding agent to the raw material. Then, based on the first raw material adhesive strength information, the initial dosage information of the added compounding agent can be obtained, i.e., the dosage of the compounding agent added for the first time. The initial dosage information of the added compounding agent is the dosage of the first added compounding agent. Then, the second raw material adhesive strength information can be obtained, i.e., the second adhesive strength information after adding the compounding agent to the raw material. A first mapping relationship can be determined based on the second raw material adhesive strength information and the initial dosage information of the added compounding agent. The first mapping relationship is the mapping relationship between the current behavior and the state at the next moment. At the same time, based on the intended use of the first rubber sheet, preset raw material adhesive strength information can be obtained, i.e., the required raw material adhesive strength information can be determined based on the specific intended use of the finished rubber sheet. Then, based on the first mapping relationship, the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information can be predicted in reverse, thus realizing the determination of the dosage information of the first compounding agent based on the intended use of the first rubber sheet.
[0061] Furthermore, embodiments of this application also include:
[0062] Step S261: Based on the first mapping relationship, construct a first state distribution database of the rubber raw material adhesive force set;
[0063] Step S262: Based on the first state distribution database, obtain the first probability that the preset raw material adhesive information is in the first desired state;
[0064] Step S263: Determine whether the first probability satisfies the first expected probability;
[0065] Step S264: If the first probability satisfies the first expected probability, obtain the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information.
[0066] Specifically, in order to further predict the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information based on the first mapping relationship, more specifically, a first state distribution database of the rubber raw material adhesive strength set can be constructed according to the first mapping relationship. The first state distribution database shows the state distribution between the state at any time and the behavior at the previous time. In this embodiment of the application, it shows the state distribution between the rubber raw material adhesive strength at any time and the dosage of the compounding agent added at the previous time. Then, according to the first state distribution database, the first probability that the preset raw material adhesive strength information is in a first desired state can be obtained. The first desired state can be understood as the raw material adhesive strength information that is expected to be achieved. The first probability is the probability of the actual occurrence of the desired state obtained based on the Markov chain. The first expected probability can be understood as the probability of the raw material adhesive strength information that is expected to be achieved. Then, it is determined whether the first probability satisfies the first expected probability. If it does, it means that it can be achieved. Then, the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information is obtained, realizing the further reverse prediction of the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information based on the first mapping relationship.
[0067] Furthermore, before mixing the first rubber raw material, step S400 further includes:
[0068] Step S410: Obtain the molecular weight and viscosity of the first raw material based on the first rubber raw material ratio information;
[0069] Step S420: Obtain the first deformation degree of the first rubber raw material under the action of the first external force information;
[0070] Step S430: The first rubber raw material is subjected to a predetermined plasticizing process to obtain the second raw material molecular weight and the second raw material viscosity after plasticizing;
[0071] Step S440: Determine whether the molecular weight and viscosity of the second raw material are lower than those of the first raw material.
[0072] Step S450: If the molecular weight and viscosity of the second raw material are lower than those of the first raw material, the first rubber raw material is mixed.
[0073] Specifically, before the first rubber raw material is compounded, it needs to be plasticized. This means that during processing, mechanical and chemical methods are used to transform the raw rubber from a strong, elastic state to a soft, easily processed plastic state. By using mechanical or chemical methods, the molecular weight and viscosity of the raw rubber are reduced, giving it the necessary plasticity (the ability to deform under external force and retain that deformation when the force is removed), and obtaining appropriate flowability. Only with proper plasticity can it be uniformly mixed with various compounding agents during compounding to meet further processing requirements. In this process, the molecular weight of the first raw material is the relative molecular mass of each raw material, and the viscosity of the first raw material determines the adhesive strength of the raw material. Simultaneously, the degree of deformation of the first rubber raw material under the action of the first external force is obtained. This degree of deformation is the extent to which the first rubber raw material deforms under the first external force. After collecting relevant parameters, the first rubber raw material is subjected to a predetermined plasticizing process. Similarly, the molecular weight and viscosity of the second raw material after plasticizing are obtained. It is then determined whether the molecular weight and viscosity of the second raw material are lower than those of the first raw material. If they are lower, it indicates that the rubber can achieve appropriate fluidity, facilitating uniform mixing with various compounding agents during compounding. The first rubber raw material is then compounded. By calibrating the parameters of the plasticizing process before compounding, the requirement to improve the purity of the finished rubber sheet is achieved.
[0074] Furthermore, embodiments of this application also include:
[0075] Step S451: If the molecular weight and viscosity of the second raw material are lower than those of the first raw material, obtain the first difference information;
[0076] Step S452: Determine whether the first difference information meets the preset difference requirement;
[0077] Step S453: If the first difference information does not meet the preset difference requirement, obtain the second deformation degree of the first rubber raw material after plasticizing under the action of the first external force information;
[0078] Step S454: Obtain the first deformation degree difference information based on the second deformation degree and the first deformation degree;
[0079] Step S455: Determine whether the first deformation degree difference information satisfies the preset deformation degree difference information;
[0080] Step S456: If the first deformation degree difference information does not meet the preset deformation degree difference information, the predetermined process is adjusted and optimized.
[0081] Specifically, in the plasticizing process of rubber sheet preparation, it is necessary to ensure the rubber's ability to deform under external force and retain that deformation after the external force disappears. That is, if the molecular weight and viscosity of the second raw material are lower than those of the first raw material, a first difference information is obtained. This first difference information can be understood as the difference in molecular weight and viscosity of the raw material before and after plasticizing. Then, it is determined whether the first difference information meets a preset difference requirement. This preset difference requirement can be understood as a specified standard difference in molecular weight and viscosity of the raw material before and after plasticizing. If it does not meet the requirement, it indicates that the plasticizing process needs to be optimized to obtain the desired result after plasticizing. The second deformation degree of the first rubber raw material under the action of the first external force information is described. That is, the same magnitude of the first external force information is applied, and the deformation degree of the rubber before and after plasticizing is compared under the action of the first external force. The first deformation degree difference information is the comparison result. Then, it is determined whether the first deformation degree difference information meets the preset deformation degree difference information. The preset deformation degree difference information can be understood as the standard deformation degree difference before and after plasticizing. If it does not meet the standard, the predetermined process is adjusted and optimized, which realizes more accurate parameter calibration of the plasticizing process before mixing, thereby improving the purity of the finished rubber sheet.
[0082] Compared with the prior art, the present invention has the following beneficial effects:
[0083] 1. By intelligently monitoring and calibrating parameters of each important process step in the rubber sheet preparation process, the material information after the raw rubber and various compounding agents are uniformly mixed is used as the first optimization parameter, and the mixing method of raw rubber and various compounding agents is used as the second optimization parameter. The parameters of the mixing process in the rubber sheet preparation process are calibrated. At the same time, based on the rubber sheet preparation purity evaluation model, the input process parameters are integrated and trained to obtain the preset preparation purity information under ideal conditions. Then, the actual preparation purity is adjusted and optimized, achieving the technical effect of improving the processing purity of rubber sheets based on the mixing process, thus improving the purity of the finished rubber sheet.
[0084] 2. By calibrating the parameters of the plasticizing process before mixing, namely collecting the molecular weight, viscosity, and deformation degree of the raw materials, and then collecting the same parameters after plasticizing, the process can be optimized and adjusted in a timely manner by comparing the parameters before and after plasticizing. This can reduce the molecular weight and viscosity of the raw rubber, give the rubber the necessary plasticity, and obtain appropriate fluidity, thereby improving the purity of rubber sheet processing based on the plasticizing process.
[0085] Example 2
[0086] Based on the same inventive concept as the method for improving the processing and preparation purity of rubber sheets in the foregoing embodiments, the present invention also provides a system for improving the processing and preparation purity of rubber sheets, such as... Figure 5 As shown, the system includes:
[0087] First obtaining unit 11: The first obtaining unit 11 is used to obtain first rubber sheet order information, wherein the first rubber sheet order information includes the purpose of the first rubber sheet and the quantity of the first order;
[0088] First determining unit 12: The first determining unit 12 is used to determine the dosage information of the first compounding agent according to the application of the first adhesive sheet;
[0089] Second obtaining unit 13: The second obtaining unit 13 is used to obtain the first rubber raw material ratio information;
[0090] Third obtaining unit 14: The third obtaining unit 14 is used to mix the first rubber raw material according to the first compounding agent dosage information and the first rubber raw material ratio information to obtain the first mixing material information, and use it as the first optimization parameter;
[0091] Second determining unit 15: The second determining unit 15 is used to determine a first mixing method for mixing the first rubber raw material according to the first order quantity, and use it as a second optimization parameter. The first mixing method includes a first stirring force and a first feeding cycle.
[0092] First input unit 16: The first input unit 16 is used to input the first optimization parameters and the second optimization parameters into the rubber sheet preparation purity evaluation model for training, and obtain the preset preparation purity information of the first rubber sheet;
[0093] First adjustment unit 17: The first adjustment unit 17 is used to adjust and optimize the actual preparation purity of the first rubber sheet according to the preset preparation purity information.
[0094] Furthermore, the system also includes:
[0095] First acquisition unit: The first acquisition unit is used to acquire images of the surface of the first rubber sheet finished product based on a camera, and obtain the first surface image information;
[0096] First calibration unit: The first calibration unit is used to calibrate the position of the rubber sheet marks on the surface of the first rubber sheet finished product according to the first surface image information, and obtain a first position calibration set;
[0097] The third determining unit is used to determine the actual depth information of each adhesive plate stain based on the first position calibration set, as the first feature parameter;
[0098] Fourth obtaining unit: The fourth obtaining unit is used to obtain the actual bubble information on the surface of the first rubber sheet finished product based on the first surface image information, as the second feature parameter;
[0099] Fifth obtaining unit: The fifth obtaining unit is used to obtain the first influence coefficient based on the first feature parameter and the second feature parameter;
[0100] Second adjustment unit: The second adjustment unit is used to adjust and optimize the actual preparation purity of the first rubber sheet according to the first influence coefficient.
[0101] Furthermore, the system also includes:
[0102] Sixth obtaining unit: The sixth obtaining unit is used to obtain the position calibration of each bubble based on the actual bubble information;
[0103] Fourth determining unit: The fourth determining unit is used to determine the average spacing information of each bubble based on the position calibration of each bubble;
[0104] First prediction unit: The first prediction unit is used to predict the first rolling pressure and the first rolling coverage of the first compound material based on the average spacing information.
[0105] Seventh obtaining unit: The seventh obtaining unit is used to obtain a preset rolling method for the first compound material based on the preset purity information;
[0106] Third adjustment unit: The third adjustment unit is used to adjust the first rolling pressure and the first rolling coverage according to the preset rolling method.
[0107] Furthermore, the system also includes:
[0108] Eighth obtaining unit: The eighth obtaining unit is used to obtain the first raw material adhesive strength information based on the first rubber raw material ratio information;
[0109] Ninth obtaining unit: The ninth obtaining unit is used to obtain the initial dosage information of the compounding agent based on the adhesive strength information of the first raw material;
[0110] Tenth obtaining unit: The tenth obtaining unit is used to obtain the second raw material adhesive strength information after the initial addition based on the initial addition amount information of the compounding agent;
[0111] Fifth determining unit: The fifth determining unit is used to determine the first mapping relationship based on the second raw material adhesive strength information and the initial addition amount of compounding agent;
[0112] Eleventh obtaining unit: The eleventh obtaining unit is used to obtain preset raw material adhesive strength information according to the application of the first adhesive sheet;
[0113] Second prediction unit: The second prediction unit is used to predict the dosage information of the first compounding agent corresponding to the preset raw material adhesive strength information based on the first mapping relationship.
[0114] Furthermore, the system also includes:
[0115] First building unit: The first building unit is used to build a first state distribution database of the rubber raw material adhesive force set according to the first mapping relationship;
[0116] The twelfth obtaining unit: The twelfth obtaining unit is used to obtain the first probability that the preset raw material adhesive information is in the first desired state according to the first state distribution database;
[0117] First Judgment Unit: The first judgment unit is used to determine whether the first probability satisfies the first expected probability;
[0118] Thirteenth obtaining unit: The thirteenth obtaining unit is used to obtain the first compounding agent dosage information corresponding to the preset raw material adhesive strength information if the first probability satisfies the first expected probability.
[0119] Furthermore, the system also includes:
[0120] Fourteenth obtaining unit: The fourteenth obtaining unit is used to obtain the molecular weight of the first raw material and the viscosity of the first raw material based on the first rubber raw material ratio information;
[0121] The fifteenth obtaining unit is used to obtain the first deformation degree of the first rubber raw material under the action of the first external force information;
[0122] The sixteenth obtaining unit is used to plasticize the first rubber raw material using a predetermined process to obtain the molecular weight and viscosity of the second raw material after plasticizing.
[0123] Second Judgment Unit: The second judgment unit is used to determine whether the molecular weight and viscosity of the second raw material are reduced compared to the molecular weight and viscosity of the first raw material;
[0124] First mixing unit: The first mixing unit is used to mix the first rubber raw material if the molecular weight and viscosity of the second raw material are lower than those of the first raw material.
[0125] Furthermore, the system also includes:
[0126] The seventeenth obtaining unit is used to obtain first difference information if the molecular weight and viscosity of the second raw material are lower than those of the molecular weight and viscosity of the first raw material.
[0127] Third Judgment Unit: The third judgment unit is used to determine whether the first difference information meets the preset difference requirement;
[0128] Eighteenth obtaining unit: The eighteenth obtaining unit is used to obtain the second deformation degree of the first rubber raw material after plasticizing under the action of the first external force information if the first difference information does not meet the preset difference requirement;
[0129] Nineteenth obtaining unit: The nineteenth obtaining unit is used to obtain the first deformation degree difference information based on the second deformation degree and the first deformation degree;
[0130] Fourth Judgment Unit: The fourth judgment unit is used to determine whether the first deformation degree difference information meets the preset deformation degree difference information;
[0131] Fourth adjustment unit: The fourth adjustment unit is used to adjust and optimize the predetermined process if the first deformation degree difference information does not meet the preset deformation degree difference information.
[0132] The foregoing Figure 1 Various variations and specific examples of the method for improving the processing purity of rubber sheets in Example 1 are also applicable to the system for improving the processing purity of rubber sheets in this embodiment. Through the foregoing detailed description of the method for improving the processing purity of rubber sheets, those skilled in the art can clearly understand the implementation method of the system for improving the processing purity of rubber sheets in this embodiment. Therefore, for the sake of brevity, it will not be described in detail again.
[0133] Example 3
[0134] The following is for reference. Figure 6 The electronic device described in the embodiments of this application is used to illustrate this application.
[0135] Figure 6 The figure shows a schematic diagram of the structure of an electronic device according to an embodiment of the present application.
[0136] Based on the inventive concept of a method for improving the processing and preparation purity of rubber sheets described in the foregoing examples, the present invention also provides a system for improving the processing and preparation purity of rubber sheets, wherein a computer program is stored thereon, and when the program is executed by a processor, it implements the steps of any of the methods of the system for improving the processing and preparation purity of rubber sheets described above.
[0137] Among them, Figure 6In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other systems over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.
[0138] This application provides a method for improving the processing purity of rubber sheets. The method includes: obtaining first rubber sheet order information, wherein the first rubber sheet order information includes a first rubber sheet application and a first order quantity; determining first compounding agent dosage information based on the first rubber sheet application; obtaining first rubber raw material ratio information; mixing the first rubber raw material according to the first compounding agent dosage information and the first rubber raw material ratio information to obtain first mixing material information, which is used as a first optimization parameter; determining a first mixing method for mixing the first rubber raw material according to the first order quantity, which is used as a second optimization parameter, wherein the first mixing method includes a first stirring force and a first feeding cycle; inputting the first optimization parameter and the second optimization parameter into a rubber sheet preparation purity evaluation model for training to obtain preset preparation purity information of the first rubber sheet; and adjusting and optimizing the actual preparation purity of the first rubber sheet according to the preset preparation purity information.
[0139] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0140] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.
[0141] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0142] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0143] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.
[0144] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A method of improving the processability of a rubber sheet, wherein, The method comprises: obtaining first rubber sheet order information, wherein the first rubber sheet order information comprises a first rubber sheet use, a first order quantity; determining first compounding agent dosage information according to the first rubber sheet use; obtaining first rubber raw material ratio information; mixing the first rubber raw material according to the first compounding agent dosage information and the first rubber raw material ratio information to obtain first mixing material information as a first optimization parameter; determining a first mixing method for mixing the first rubber raw material according to the first order quantity as a second optimization parameter, the first mixing method comprising a first stirring intensity and a first discharging cycle; inputting the first optimization parameter and the second optimization parameter into a rubber sheet preparation purity evaluation model for training to obtain preset preparation purity information of the first rubber sheet; adjusting and optimizing the actual preparation purity of the first rubber sheet according to the preset preparation purity information; The method further comprises: based on the camera, image collection is performed on the surface of the first rubber sheet finished product to obtain first surface image information; position calibration is performed on rubber sheet stains on the surface of the first rubber sheet finished product according to the first surface image information to obtain a first position calibration set; actual depth information of each rubber sheet stain is determined according to the first position calibration set as a first feature parameter; actual bubble information on the surface of the first rubber sheet finished product is obtained according to the first surface image information as a second feature parameter; a first influence coefficient is obtained according to the first feature parameter and the second feature parameter, the first influence coefficient being the influence of rubber sheet stains and actual bubbles on the surface of the rubber sheet finished product on the purity of the finished product; the actual preparation purity of the first rubber sheet is adjusted and optimized according to the first influence coefficient; The method further comprises: each bubble position calibration is obtained according to the actual bubble information; average spacing information of each bubble is determined based on the each bubble position calibration; a first rolling intensity and a first rolling coverage for rolling the first mixing material are inversely predicted according to the average spacing information; a preset rolling method for the first mixing material is obtained according to the preset preparation purity information; the first rolling intensity and the first rolling coverage are adjusted according to the preset rolling method; The method further comprises: first raw material rubber force information is obtained according to the first rubber raw material ratio information; initially added compounding agent dosage information is obtained according to the first raw material rubber force information; second raw material rubber force information after initial addition is obtained according to the initially added compounding agent dosage information; a first mapping relationship between a current action and a state at a next time is determined according to the second raw material rubber force information and the initially added compounding agent dosage information; preset raw material rubber force information is obtained according to the first rubber sheet use; the first compounding agent dosage information corresponding to the preset raw material rubber force information is inversely predicted based on the first mapping relationship; The method further comprises: According to the first mapping relationship, a first state distribution database of the rubber raw material glue force set is constructed; According to the first state distribution database, a first probability that the preset raw material glue force information is in a first expected state is obtained; It is judged whether the first probability meets a first expected probability; If the first probability meets the first expected probability, the first amount of the first compounding agent corresponding to the preset raw material glue force information is obtained; Before the first rubber raw material is mixed, it further includes: According to the first rubber raw material ratio information, a first raw material molecular weight and a first raw material viscosity are obtained; A first deformation degree of the first rubber raw material under the action of first external force information is obtained; The first rubber raw material is subjected to a predetermined process of plasticizing to obtain a second raw material molecular weight and a second raw material viscosity after plasticizing; It is judged whether the second raw material molecular weight and the second raw material viscosity are reduced compared with the first raw material molecular weight and the first raw material viscosity; If the second raw material molecular weight and the second raw material viscosity are reduced compared with the first raw material molecular weight and the first raw material viscosity, the first rubber raw material is mixed.
2. The method of claim 1, wherein, The method further includes: If the second raw material molecular weight and the second raw material viscosity are reduced compared with the first raw material molecular weight and the first raw material viscosity, a first difference information is obtained; It is judged whether the first difference information meets a preset difference requirement; If the first difference information does not meet the preset difference requirement, a second deformation degree of the first rubber raw material after plasticizing under the action of the first external force information is obtained; According to the second deformation degree and the first deformation degree, a first deformation degree difference information is obtained; It is judged whether the first deformation degree difference information meets a preset deformation degree difference information; If the first deformation degree difference information does not meet the preset deformation degree difference information, the predetermined process is adjusted and optimized.
3. A system for improving the processing production purity of a rubber sheet for performing the method for improving the processing production purity of a rubber sheet according to any one of claims 1 to 2, wherein, The system includes: A first obtaining unit is configured to obtain first rubber sheet order information, wherein the first rubber sheet order information includes a first rubber sheet purpose and a first order quantity; A first determining unit is configured to determine first compounding agent amount information according to the first rubber sheet purpose; A second obtaining unit is configured to obtain first rubber raw material ratio information; A third obtaining unit is configured to mix the first rubber raw material according to the first compounding agent amount information and the first rubber raw material ratio information, to obtain first mixing material information, and to use the first mixing material information as a first optimization parameter; A second determining unit is configured to determine a first mixing method for mixing the first rubber raw material according to the first order quantity, and to use the first mixing method as a second optimization parameter, wherein the first mixing method includes a first stirring intensity and a first feeding cycle; A first input unit is configured to input the first optimization parameter and the second optimization parameter into a rubber sheet preparation purity evaluation model for training, to obtain preset preparation purity information of the first rubber sheet. The first adjusting unit is configured to adjust and optimize the actual preparation purity of the first rubber plate according to the preset preparation purity information.
4. A system for improving the manufacturing purity of a rubber sheet, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The processor implements the steps of the method of any one of claims 1-2 when executing the program.
Citation Information
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