CN112182979A - Method and device for improving compatibility effect of resin and filling aid - Google Patents

Method and device for improving compatibility effect of resin and filling aid Download PDF

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Publication number
CN112182979A
CN112182979A CN202011130285.2A CN202011130285A CN112182979A CN 112182979 A CN112182979 A CN 112182979A CN 202011130285 A CN202011130285 A CN 202011130285A CN 112182979 A CN112182979 A CN 112182979A
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China
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information
filling
compatibilization
obtaining
resin
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CN112182979B (en
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杨林涛
陈新祥
王伟峰
孙建宇
刘焱鑫
张跃宗
殷苏
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Changzhou Marine Cable Co ltd
Jiangsu Zhongli Group Co Ltd
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Changzhou Marine Cable Co ltd
Jiangsu Zhongli Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/24Sheet material

Abstract

The invention discloses a method and a device for improving the compatibility effect of resin and a filling aid, wherein the method comprises the following steps: the method comprises the steps of obtaining attribute information of first resin as first input information, using a second attribute information set of attribute information of filling aids with different attributes as second input information, inputting the first input information and the second input information into a training model, obtaining first compatibilization grade information through training of multiple groups of training data, obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization grade information, and then carrying out compatibilization on the first filling aid and the first resin. Solves the technical problem of poor compatibility of the production materials in the prior art.

Description

Method and device for improving compatibility effect of resin and filling aid
Technical Field
The invention relates to the field of high polymer materials, in particular to a method and a device for improving the compatibility effect of resin and a filling aid.
Background
With the development of polymer materials over half a century, they have played a great role in various industrial fields, and nowadays, polymer materials as an important material are closely related to national economy, high technology and modern life. However, with the rapid development of each advanced technical field, the demand for polymer materials has further increased, and in order to complete the further development, polymer materials are required to be continuously changed to high functionality and high performance. How to further provide effective high-performance materials and functional materials for developing high technologies becomes a problem which needs to be solved urgently at present.
Therefore, in the process of implementing the technical scheme of the invention in the embodiment of the present application, the inventor of the present application finds that the above technology has at least the following technical problems:
the prior art has the technical problem of poor material compatibility.
Disclosure of Invention
The embodiment of the application provides a method and a device for improving the compatibility effect of resin and a filling aid, solves the technical problem of poor material compatibility in the prior art, achieves the technical effects of quickly and accurately obtaining the optimal filling aid, realizing compatibility with the resin, improving the compatibility effect, enhancing the performance stability of the material and obtaining excellent comprehensive performance.
In view of the above problems, embodiments of the present application provide a method and an apparatus for improving the compatibility effect of a resin and a filling aid.
In a first aspect, embodiments of the present application provide a method for improving the compatibility of a resin with a filling aid, the method including: obtaining first attribute information of a first resin; taking the first attribute information as first input information; obtaining a second attribute data set, wherein the second attribute data set comprises attribute information of N filling aids with different attributes; taking the second attribute data set as second input information; inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid; obtaining output information of the training model, wherein the output information includes first compatibilization grade information of the first resin and the first filling aid; obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information; and carrying out compatibility treatment on the first filling aid and the first resin.
In another aspect, the present application also provides an apparatus for improving the compatibility of a resin with a filling aid, wherein the apparatus comprises: a first obtaining unit for obtaining first attribute information of a first resin; a first operation unit configured to take the first attribute information as first input information; a second obtaining unit, configured to obtain a second attribute data set, where the second attribute data set includes attribute information of N filling aids with different attributes; a second operation unit for taking the second attribute data set as second input information; a first input unit, configured to input the first input information and the second input information into a training model, where the training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid; a third obtaining unit configured to obtain output information of the training model, where the output information includes first compatibilization level information of the first resin and the first filler additive; a fourth obtaining unit, configured to obtain, according to the first compatibilization level information, a first filling aid with a strongest compatibilization degree; a first processing unit for subjecting the first filling aid to a compatibilization treatment with the first resin.
In a third aspect, the present application further provides an apparatus for improving the compatibility of a resin and a filling aid, 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 the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
because the attribute information of the first resin and the second attribute information set of the filling aid are obtained and used as two input information of the neural network model, the output information is subjected to level sequencing after the training of the network model, and the trained data has the characteristic of high accuracy, the first filling agent with the strongest compatibilization degree is obtained, the optimal filling aid is quickly and accurately obtained and is compatible with the resin, the compatibility effect is improved, the performance stability of the material is enhanced, and the technical effect of excellent comprehensive performance is obtained.
The foregoing is a summary of the present disclosure, and embodiments of the present disclosure are described below to make the technical means of the present disclosure more clearly understood.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for improving the compatibility of a resin with a filling aid according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of an apparatus for improving the compatibility of a resin and a filling aid according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a first operating unit 12, a second obtaining unit 13, a second operating unit 14, a first input unit 15, a third obtaining unit 16, a fourth obtaining unit 17, a first processing unit 18, a fifth bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 306.
Detailed Description
The embodiment of the application provides a method and a device for improving the compatibility effect of resin and a filling aid, solves the technical problem of poor material compatibility in the prior art, achieves the technical effects of quickly and accurately obtaining the optimal filling aid, realizing compatibility with the resin, improving the compatibility effect, enhancing the performance stability of the material and obtaining excellent comprehensive performance. Hereinafter, example embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The development of polymer materials has been playing a great role in various industrial fields through half a century, and nowadays, polymer materials as an important material are closely related to national economy, high technology and modern life. However, with the rapid development of each advanced technical field, the demand for polymer materials has further increased, and in order to complete the further development, polymer materials are required to be continuously changed to high functionality and high performance. How to further provide effective high-performance materials and functional materials for developing high technologies becomes a problem which needs to be solved urgently at present. The prior art has the technical problem of poor material compatibility.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method and a device for improving the compatibility effect of resin and a filling aid, wherein the method comprises the following steps: obtaining first attribute information of a first resin; taking the first attribute information as first input information; obtaining a second attribute data set, wherein the second attribute data set comprises attribute information of N filling aids with different attributes; taking the second attribute data set as second input information; inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid; obtaining output information of the training model, wherein the output information includes first compatibilization grade information of the first resin and the first filling aid; obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information; and carrying out compatibility treatment on the first filling aid and the first resin.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method and an apparatus for improving the compatibility of a resin and a filling aid, wherein the method includes:
step S100: obtaining first attribute information of a first resin;
specifically, the first resin is a resin polymer compound for performing compatibilization, and the first attribute information is information of a resin material for performing compatibilization, including attribute information such as temperature resistance, compatibility, a molecular structure, and material characteristics.
Step S200: taking the first attribute information as first input information;
specifically, the first input information is input information of a neural network model, the input information includes first attribute information of the first resin, and the neural network model training is performed by using the attribute information as the first input information, so that the filling aid can be matched more accurately.
Step S300: obtaining a second attribute data set, wherein the second attribute data set comprises attribute information of N filling aids with different attributes;
specifically, the second attribute data set refers to a set composed of attribute information of N different fillers, where the filler aid refers to another chemical material compatible with the first resin, and the attribute information of the filler aid refers to attribute information of application performance, physical properties, chemical properties, and the like of the filler aid.
Step S400: taking the second attribute data set as second input information;
specifically, the second attribute data set is used as second input information input by the neural network model, and because the data in the data set contains the attribute information of N filling aids with different attributes, the universality and the sufficiency of the filling aid attribute information data are ensured.
Step S500: inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid;
specifically, the first input information and the second input information are input into a training model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Training based on a large amount of training data, wherein each set of training data comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid; the neural network model is continuously self-corrected, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is ended. Based on the characteristic that the data are more accurate after the training model is trained, the first input information and the second input information are input into the training model so as to achieve the accuracy of information output through the training model, and more accurate and reliable data reference is obtained, so that the compatibility between the filling aid and the first resin is rapidly and accurately obtained, and the technical effect of improving the compatibility effect is further achieved.
Step S600: obtaining output information of the training model, wherein the output information includes first compatibilization grade information of the first resin and the first filling aid;
specifically, the first compatibilization grade information of the first resin and the first filling aid refers to fusion grade information obtained through fusion training of the first resin and the first filling aid, and for example, the fusion grade information can be divided into an S grade, an a grade, a B grade and a C grade, wherein the attribute information of the filling aid is N, so that the fusion grade information also has a plurality of different fusion degrees.
Step S700: obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information;
specifically, the compatibilization degree refers to the degree of the effect of the first resin in compatibility with the first filler, the better the compatibility effect, the stronger the compatibilization degree, and since different filling aids have different chemical properties, the proper selection of the filling aid can effectively improve the defects of the material itself, so that the first filling aid with the strongest compatibilization degree is obtained according to the grade information of the first compatibilization degree, and the effect of the first resin in compatibility with the first filler can be improved to the greatest extent; the first compatibilization grade information is also processed through the computer, all data are screened and integrated, accurate data can be obtained, the optimal filling aid is rapidly and accurately obtained and is compatible with resin, the compatibility effect is improved, the production efficiency is improved, and the technical effect of enhancing the performance stability of the material is achieved.
Step S800: performing compatibility treatment on the first filling aid and the first resin;
specifically, the compatibility treatment refers to the compatibility of the first resin and the first filler with the strongest compatibilization degree, and the first filler is trained through a neural network model and accurately processed through a computer, so that the most appropriate first filler is selected in the compatibility treatment, the compatibility effect is improved, the performance stability of the material is enhanced, and the technical effect of excellent comprehensive performance is achieved.
Further, in the step S700 of the embodiment of the present application, the obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization level information further includes:
step S710: the first capacity increasing grade information is arranged in a descending order according to the first capacity increasing grade to obtain a first capacity increasing table;
step S720: obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization table;
step S730: compatibilizing the first filling aid with the first resin.
Specifically, the first compatibilization level information is compatibility information of the first resin and the first filling aid, and the first compatibilization table is information obtained by arranging compatibility effects of the first resin and the first filling aid in a descending order. The descending order arrangement of the first compatibilization information refers to arrangement from high to low according to the compatibility effect, so that the first filling aid with the strongest compatibilization degree can be clearly and accurately obtained, then the first filling aid and the first resin are subjected to compatibility treatment, the first filling aids with different grades can be directly obtained according to a registration table of the compatibilization degree, the purposes of quickly and accurately obtaining the optimal filling aid and performing compatibility with the resin are achieved, the compatibility effect is improved, and the technical effect of improving the production efficiency is achieved.
Further, the steps of the embodiment of the present application further include:
step S910: carrying out in-situ reaction on the first resin and the first filling aid to obtain a first reactant;
step S920: obtaining first compatibilization information from the first reactant;
step S930: and obtaining the compatibilization grades of the first resin and the first filling aid according to the first compatibilization information.
Specifically, the in-situ reaction refers to a synthesis technology, and there are many methods in the implementation process of the technology, such as an exothermic dispersion method, a gas-liquid reaction synthesis method, a direct oxidation method, and the like, because the in-situ reaction is a chemical reaction performed at a proper temperature, and the reactants include oxides, carbides, nitrides, silicides, and the like, and the reactants can reflect the strength of the compatibilization degree, so as to obtain the compatibilization grade according to the obtained compatibilization degree information.
Further, in the obtaining of the second attribute data set, step S300 in the embodiment of the present application further includes:
step S310: obtaining N pieces of different filling aid information;
step S320: obtaining N pieces of attribute information corresponding to the filling aids one by one according to the N pieces of different filling aid information;
step S330: and obtaining a second attribute data set according to the N different attribute information.
In particular, N corresponding property information are obtained by obtaining N different filling aid information, thereby obtaining a second property dataset. The different filling aids have different characteristics, so that the corresponding attribute information is different, and the first resin and the first compatible first resin can generate different compatible effects, so that the more the corresponding sample set data is, the more accurate the obtained final data is, and the technical effects of quickly and accurately obtaining the optimal filling aid, being compatible with the resin and improving the compatible effect are achieved.
Further, after obtaining the second attribute data set, step S300 in this embodiment of the present application further includes:
step S340: according to the second attribute data set, obtaining first filling attribute information and second filling attribute information until Nth filling attribute information;
step S350: generating a first verification code according to the first filling attribute information, wherein the first verification code is in one-to-one correspondence with the first filling attribute information;
step S360: generating a second verification code according to the second filling attribute information and the first verification code; by analogy, generating an Nth verification code according to the Nth filling attribute information and the Nth-1 verification code, wherein N is a natural number greater than 1;
step S370: and respectively copying and storing all filling attribute information and verification codes on M devices, wherein M is a natural number greater than 1.
Specifically, a first verification code is generated according to the first filling attribute information, and the first verification code is in one-to-one correspondence with the first filling attribute information; generating a second verification code according to the second filling attribute information and the first verification code; and in the same way, generating an Nth verification code according to the Nth filling attribute information and the Nth-1 verification code, wherein N is a natural number greater than 1. Respectively copying and storing the evaluation result and the identification code on M devices, wherein the first filling attribute information and the first verification code are stored on one device as a first storage unit, the second filling attribute information and the second verification code are stored on one device as a second storage unit, the Nth feedback information and the Nth verification code are stored on one device as an Mth storage unit, when the feedback information needs to be called, after each subsequent node receives the data stored by the previous node, the storage is carried out after the verification through a 'consensus mechanism', each storage unit is connected in series through a hash function, the training data is not easy to lose and damage, a block chain technology is also called as a distributed account book technology, and the block chain technology is an emerging technology which is formed by jointly participating in accounting through a plurality of computing devices and jointly maintaining a complete distributed database. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. The training data is encrypted through logic of a block chain, the safety of the training data is guaranteed, the training data is stored on a plurality of devices, and the data stored on the devices are processed through a common recognition mechanism, namely a few data are subject to majority. When one or more devices are tampered, as long as the number of the devices storing correct data is larger than that of the tampered devices, the obtained evaluation information result is still correct, so that accurate and reliable data is obtained, the accuracy of the output compatibilization level information is effectively guaranteed, the optimal filling aid is quickly and accurately obtained and is compatible with resin, the compatibility effect is improved, the performance stability of the material is enhanced, and the technical effect of excellent comprehensive performance is obtained.
Further, the steps of the embodiment of the present application further include:
step S381: taking the Nth filling attribute information and the Nth verification code as an Nth block;
step S382: obtaining the recording time of the Nth block, wherein the recording time of the Nth block represents the time required to be recorded by the Nth block;
step S383: obtaining the first equipment with the fastest transport capacity in the M pieces of equipment according to the recording time of the Nth block;
step S384: and sending the recording right of the Nth block to the first equipment.
Specifically, the nth block is a partitioned storage information block of N pieces of attribute information of the filling aid and the verification code, and the nth block recording time is a time taken for the resin and the corresponding filling aid in each block to be compatible, and the first device with the fastest transport capacity is obtained according to the nth block recording time. The N block recording time is obtained through a computing platform built by a computer, the computer obtains each data from the N block recording time, and the data are accurately processed by the computer, so that the first equipment with the fastest transport capacity is obtained, therefore, the data of each block are processed and compared after a block chain is built, a more accurate and reliable data source is obtained, and finally, a data source is provided for the filling aid with the optimal filling effect, so that the technical effect of improving the compatibility effect of the resin and the filling aid is achieved.
Further, the steps of the embodiment of the present application further include:
step S940: screening the second attribute data set, and removing the filling aids with the same attribute;
step S950: and taking the second attribute data set from which the filling aid with the same attribute is removed as second input information.
Specifically, the second attribute data set of the filling aid with the same attribute removed further improves the accuracy of the data, and the second input information serving as the neural network training model is subjected to further screening operation, wherein due to the fact that the number of the filling aids is large, the attribute information of the corresponding filling aids is overlapped, and the effect that the filling aids with the same attribute information are compatible with resin is the same, so that the technical effects that the optimal filling aid is quickly and accurately obtained and is compatible with resin, and the compatibility effect is improved are achieved.
In summary, the method and the apparatus for improving the compatibility of the resin and the filling aid provided by the embodiments of the present application have the following technical effects:
1. the method has the advantages that the attribute information of the first resin and the second attribute information of the filling aid are obtained and used as two input information of the neural network model, accurate output data are obtained after the neural network model is trained, the trained data have the characteristic of high accuracy, and the output data are further screened and sorted, so that the first filling agent with the strongest compatibilization degree is obtained, the technical effects of quickly and accurately obtaining the optimal filling aid and enabling the optimal filling aid to be compatible with the resin, the compatibility effect is improved, the production efficiency is improved, and the performance stability of the material is enhanced are achieved.
2. The method has the advantages that the mode of encrypting the training data through the logic of the block chain is adopted, the safety of the training data information is guaranteed, the training data information is stored on multiple devices, the data stored on the multiple devices are processed through a consensus mechanism, namely, a small number of the data are subjected to majority obeying, when one or more devices are tampered, the obtained training data information is still accurate as long as the number of the devices storing correct data is larger than the number of the devices being tampered, the safety of the training data information is further guaranteed, and therefore the accuracy of the training model obtained through training of the training data is guaranteed. Therefore, the safety of data is effectively guaranteed, and the technical effects of enhancing the performance stability of the material and obtaining excellent comprehensive performance are achieved.
Example two
Based on the same inventive concept as the method and the device for assessing consciousness of children in pediatric care in the previous embodiment, the invention further provides a device for improving the compatibility effect of resin and filling aid, as shown in fig. 2, the device comprises:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain first attribute information of a first resin;
a first operation unit 12, the first operation unit 12 being configured to take the first attribute information as first input information;
a second obtaining unit 13, where the second obtaining unit 13 is configured to obtain a second attribute data set, where the second attribute data set includes attribute information of N filling aids with different attributes;
a second operation unit 14, the second operation unit 14 being configured to take the second attribute data set as second input information;
a first input unit 15, where the first input unit 15 is configured to input the first input information and the second input information into a training model, where the training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid;
a third obtaining unit 16, configured to obtain output information of the training model, where the output information includes first compatibilization level information of the first resin and the first filling aid;
a fourth obtaining unit 17, where the fourth obtaining unit 17 is configured to obtain, according to the first compatibilization level information, a first filling aid with a strongest compatibilization degree;
a first processing unit 18, the ninth obtaining unit 18 being configured to compatibly process the first filling aid with the first resin.
Further, the apparatus further comprises:
a fifth obtaining unit, configured to perform descending order on the first compatibilization level information according to the first compatibilization level to obtain a first compatibilization table;
a sixth obtaining unit, configured to obtain, according to the first compatibilization table, a first filling aid with a strongest compatibilization degree;
a second processing unit for compatibilizing the first filling aid with the first resin.
Further, the apparatus further comprises:
a seventh obtaining unit, configured to perform an in-situ reaction on the first resin and the first filling aid to obtain a first reactant;
an eighth obtaining unit for obtaining first compatibilization information from the first reactant;
a ninth obtaining unit configured to obtain a compatibilization grade of the first resin and the first filling aid, based on the first compatibilization information.
Further, the apparatus further comprises:
a tenth obtaining unit for obtaining N different filling aid information;
an eleventh obtaining unit, configured to obtain, according to the N different pieces of filling aid information, N pieces of attribute information that correspond to the filling aids one to one;
a twelfth obtaining unit, configured to obtain a second attribute data set according to the N different attribute information.
Further, the apparatus further comprises:
a thirteenth obtaining unit operable to obtain first padding attribute information, second padding attribute information, up to nth padding attribute information, from the second attribute data set;
a first generating unit, configured to generate a first verification code according to the first padding attribute information, where the first verification code corresponds to the first padding attribute information one to one;
a second generating unit configured to generate a second verification code from the second padding attribute information and the first verification code; by analogy, generating an Nth verification code according to the Nth filling attribute information and the Nth-1 verification code, wherein N is a natural number greater than 1;
the first saving unit is used for respectively copying and saving all filling attribute information and verification codes on M devices, wherein M is a natural number larger than 1.
Further, the apparatus further comprises:
a thirteenth obtaining unit configured to take the nth padding attribute information and the nth verification code as an nth block;
a fourteenth obtaining unit, configured to obtain the nth block recording time, where the nth block recording time represents a time that an nth block needs to be recorded;
a fifteenth obtaining unit, configured to obtain, according to the nth block recording time, a first device with the fastest transport capacity from among the M devices;
a sixteenth obtaining unit, configured to send the recording right of the nth block to the first device.
Further, the apparatus further comprises:
the first screening unit is used for screening the second attribute data set and removing the filling aids with the same attribute;
a third operation unit, configured to use the second attribute data set from which the filling aid with the same attribute is removed as second input information.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the method and the device for assessing consciousness of pediatric nursing infants in the previous embodiments, the invention further provides a device for improving the compatibility effect of resin and filling aid, wherein the device is stored with a computer program, and the computer program realizes the steps of any one of the methods of the method and the device for assessing consciousness of pediatric nursing infants.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides a method for improving the compatibility effect of resin and a filling aid, which comprises the following steps: obtaining first attribute information of a first resin; taking the first attribute information as first input information; obtaining a second attribute data set, wherein the second attribute data set comprises attribute information of N filling aids with different attributes; taking the second attribute data set as second input information; inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid; obtaining output information of the training model, wherein the output information includes first compatibilization grade information of the first resin and the first filling aid; obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information; and carrying out compatibility treatment on the first filling aid and the first resin. The technical problem of poor material compatibility in the prior art is solved, the optimal filling aid is quickly and accurately obtained and is compatible with resin, the compatibility effect is improved, the production efficiency is improved, and the performance stability of the material is enhanced.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may 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, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A method of increasing the compatibilization of a resin with a filler aid, wherein the method comprises:
obtaining first attribute information of a first resin;
taking the first attribute information as first input information;
obtaining a second attribute data set, wherein the second attribute data set comprises attribute information of N filling aids with different attributes;
taking the second attribute data set as second input information;
inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid;
obtaining output information of the training model, wherein the output information includes first compatibilization grade information of the first resin and the first filling aid;
obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information;
and carrying out compatibility treatment on the first filling aid and the first resin.
2. The method of claim 1, wherein the obtaining the first filling aid with the strongest compatibilization degree according to the first compatibilization degree grade information comprises:
the first capacity increasing grade information is arranged in a descending order according to the first capacity increasing grade to obtain a first capacity increasing table;
obtaining a first filling aid with the strongest compatibilization degree according to the first compatibilization table;
compatibilizing the first filling aid with the first resin.
3. The method of claim 1, wherein the method comprises:
carrying out in-situ reaction on the first resin and the first filling aid to obtain a first reactant;
obtaining first compatibilization information from the first reactant;
and obtaining the compatibilization grades of the first resin and the first filling aid according to the first compatibilization information.
4. The method of claim 1, wherein said obtaining a second attribute data set comprises:
obtaining N pieces of different filling aid information;
obtaining N pieces of attribute information corresponding to the filling aids one by one according to the N pieces of different filling aid information;
and obtaining a second attribute data set according to the N different attribute information.
5. The method of claim 1, wherein said obtaining a second set of attribute data comprises, after:
according to the second attribute data set, obtaining first filling attribute information and second filling attribute information until Nth filling attribute information;
generating a first verification code according to the first filling attribute information, wherein the first verification code is in one-to-one correspondence with the first filling attribute information;
generating a second verification code according to the second filling attribute information and the first verification code; by analogy, generating an Nth verification code according to the Nth filling attribute information and the Nth-1 verification code, wherein N is a natural number greater than 1;
and respectively copying and storing all filling attribute information and verification codes on M devices, wherein M is a natural number greater than 1.
6. The method of claim 5, wherein the method comprises:
taking the Nth filling attribute information and the Nth verification code as an Nth block;
obtaining the recording time of the Nth block, wherein the recording time of the Nth block represents the time required to be recorded by the Nth block;
obtaining the first equipment with the fastest transport capacity in the M pieces of equipment according to the recording time of the Nth block;
and sending the recording right of the Nth block to the first equipment.
7. The method of claim 1, wherein the method comprises:
screening the second attribute data set, and removing the filling aids with the same attribute;
and taking the second attribute data set from which the filling aid with the same attribute is removed as second input information.
8. An apparatus for increasing the compatibilization of a resin with a filler aid, wherein the apparatus comprises:
a first obtaining unit for obtaining first attribute information of a first resin;
a first operation unit configured to take the first attribute information as first input information;
a second obtaining unit, configured to obtain a second attribute data set, where the second attribute data set includes attribute information of N filling aids with different attributes;
a second operation unit for taking the second attribute data set as second input information;
a first input unit, configured to input the first input information and the second input information into a training model, where the training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first input information, the second input information, and identification information to identify a compatibilization grade of the first resin and the first filling aid;
a third obtaining unit configured to obtain output information of the training model, where the output information includes first compatibilization level information of the first resin and the first filler additive;
a fourth obtaining unit, configured to obtain, according to the first compatibilization level information, a first filling aid with a strongest compatibilization degree;
a first processing unit for subjecting the first filling aid to a compatibilization treatment with the first resin.
9. An apparatus for improving the compatibilization of a resin with a filler aid, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to perform the steps of the method of any of claims 1-7.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113049793A (en) * 2021-02-23 2021-06-29 南通开普乐工程塑料有限公司 Production detection verification method and device for Abs composite material
WO2023002804A1 (en) * 2021-07-20 2023-01-26 株式会社トクヤマ Model generation device, prediction device, model generation method, prediction method, and resin composition manufacturing system
WO2023103187A1 (en) * 2021-12-10 2023-06-15 江苏中利集团股份有限公司 Method and system for assessing auxiliary material with respect to material structure in production of multi-component polymer

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110352660A (en) * 2019-07-12 2019-10-22 塔里木大学 A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device
CN110490862A (en) * 2019-08-22 2019-11-22 联峰钢铁(张家港)有限公司 A kind of method and device improving continuous casting flaw detection qualification rate
CN110503641A (en) * 2019-08-22 2019-11-26 联峰钢铁(张家港)有限公司 A kind of method and apparatus improving continuous casting billet face crack
CN110533032A (en) * 2019-08-22 2019-12-03 江苏联峰实业有限公司 A kind of method and apparatus obtaining high-purity cryogenic steel

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110352660A (en) * 2019-07-12 2019-10-22 塔里木大学 A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device
CN110490862A (en) * 2019-08-22 2019-11-22 联峰钢铁(张家港)有限公司 A kind of method and device improving continuous casting flaw detection qualification rate
CN110503641A (en) * 2019-08-22 2019-11-26 联峰钢铁(张家港)有限公司 A kind of method and apparatus improving continuous casting billet face crack
CN110533032A (en) * 2019-08-22 2019-12-03 江苏联峰实业有限公司 A kind of method and apparatus obtaining high-purity cryogenic steel

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113049793A (en) * 2021-02-23 2021-06-29 南通开普乐工程塑料有限公司 Production detection verification method and device for Abs composite material
WO2023002804A1 (en) * 2021-07-20 2023-01-26 株式会社トクヤマ Model generation device, prediction device, model generation method, prediction method, and resin composition manufacturing system
WO2023103187A1 (en) * 2021-12-10 2023-06-15 江苏中利集团股份有限公司 Method and system for assessing auxiliary material with respect to material structure in production of multi-component polymer

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