CN112348429A - Processing method and device for improving performance of polymer material - Google Patents

Processing method and device for improving performance of polymer material Download PDF

Info

Publication number
CN112348429A
CN112348429A CN202011072487.6A CN202011072487A CN112348429A CN 112348429 A CN112348429 A CN 112348429A CN 202011072487 A CN202011072487 A CN 202011072487A CN 112348429 A CN112348429 A CN 112348429A
Authority
CN
China
Prior art keywords
information
obtaining
raw material
result
storage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011072487.6A
Other languages
Chinese (zh)
Other versions
CN112348429B (en
Inventor
张跃宗
陈新祥
孙建宇
王伟峰
苏振华
杨林涛
刘焱鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changzhou Marine Cable Co ltd
Jiangsu Zhongli Group Co Ltd
Original Assignee
Changzhou Marine Cable Co ltd
Jiangsu Zhongli Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changzhou Marine Cable Co ltd, Jiangsu Zhongli Group Co Ltd filed Critical Changzhou Marine Cable Co ltd
Priority to CN202011072487.6A priority Critical patent/CN112348429B/en
Publication of CN112348429A publication Critical patent/CN112348429A/en
Application granted granted Critical
Publication of CN112348429B publication Critical patent/CN112348429B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • 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
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Evolutionary Computation (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Educational Administration (AREA)
  • Software Systems (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Finance (AREA)
  • Mathematical Physics (AREA)
  • Accounting & Taxation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • General Factory Administration (AREA)

Abstract

The invention provides a processing method and a processing device for improving the performance of a polymer material, which are characterized in that first raw material information of a first warehouse is obtained; acquiring first influence factor information according to the first raw material information; obtaining first storage layout information for a first repository; obtaining a first storage mode of the first raw material according to the first storage layout information; inputting first storage layout information into a first training model; obtaining first output information of the first training model, wherein the first output information comprises a first result, and the first result is a result for identifying that the first warehouse has a first influence factor; obtaining a first influence degree according to the first result; judging whether the first influence degree exceeds a first preset influence degree threshold value or not; if yes, obtaining a first adjusting instruction; according to a first adjustment instruction, a first storage mode is adjusted, the quality of raw materials is effectively monitored, the performance and the quality stability of the materials are improved, and the technical effect of the processing management level of enterprises is improved.

Description

Processing method and device for improving performance of polymer material
Technical Field
The invention relates to the technical field of material preparation, in particular to a processing method and a processing device for improving the performance of a polymer material.
Background
Organic polymer materials, also known as polymers or high polymers, are macromolecules having a plurality of repeating monomer units formed by covalently bonding one or more molecules or groups of molecules (structural units or monomers), and have a molecular weight of up to 104~106. They may be natural products such as fibers, proteins, natural rubber, etc., or they may be synthetically produced, such as non-biological polymers of synthetic rubber, synthetic resins, synthetic fibers, etc. At present, through observation, characterization and analysis of the structure of a polymer material and analysis of the relationship between the composition and the structure of the material, the polymer is blended and modified on the basis, and the structure of a matrix composition can be effectively controlled, so that the performances of flame retardance, high temperature resistance and the like of the material are improved.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
in the prior art, for material processing and preparation, corresponding problems are often analyzed and solved after problems, faults and accidents occur, the overall monitoring is difficult, and the problems often occur due to storage environment and storage mode, so that the performance and quality stability of the produced and prepared polymer material are affected.
Disclosure of Invention
The embodiment of the invention provides a processing method and a processing device for improving the performance of a polymer material, which solve the technical problems that in the prior art, analysis and solution can be performed only after problems, accidents and the like occur, monitoring and prevention are difficult to perform on the whole, and the storage environment and the storage mode often have problems, so that the performance and the quality stability of the produced and prepared polymer material are affected, and the technical effects of effectively monitoring the quality of raw materials, further improving the performance and the quality stability of the material and improving the processing management level of enterprises are achieved.
In view of the above problems, embodiments of the present application are proposed to provide a processing method and apparatus for improving the performance of a polymer material.
In a first aspect, the present invention provides a treatment method for enhancing the properties of a polymeric material, the method comprising: obtaining first raw material information of a first warehouse; obtaining first influence factor information according to the first raw material information; obtaining first storage layout information for the first repository; obtaining a first storage mode of the first raw material according to the first storage layout information; inputting the first storage layout diagram information into a first training model, wherein the first 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 storage layout information and identification information to identify a first result; obtaining first output information of the first training model, wherein the first output information includes a first result, and the first result is a result identifying that the first repository has a first influence factor; obtaining a first influence degree according to the first result; judging whether the first influence degree exceeds a first preset influence degree threshold value or not; if yes, obtaining a first adjusting instruction; and adjusting the first storage mode according to the first adjusting instruction.
In a second aspect, the present invention provides a processing apparatus for enhancing the properties of a polymeric material, the apparatus comprising:
a first obtaining unit for obtaining first raw material information of a first warehouse;
a second obtaining unit configured to obtain first influence factor information according to the first raw material information;
a third obtaining unit configured to obtain first storage layout information of the first warehouse;
a fourth obtaining unit configured to obtain a first storage manner of the first raw material according to the first storage layout information;
a first training unit, configured to input the first storage layout information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first storage layout information and identification information to identify a first result
A fifth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first result, and the first result is a result that identifies that the first warehouse has a first influence factor;
a sixth obtaining unit configured to obtain a first influence degree according to the first result;
the first judging unit is used for judging whether the first influence exceeds a first preset influence threshold value or not;
a seventh obtaining unit, configured to obtain the first adjustment instruction if the first adjustment instruction exceeds the first adjustment instruction;
and the first adjusting unit is used for adjusting the first storage mode according to the first adjusting instruction.
In a third aspect, the present invention provides a processing apparatus for enhancing the performance of a polymer material, 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 in the embodiments of the present application have at least one or more of the following technical effects:
according to the processing method and device for improving the performance of the polymer material, provided by the embodiment of the invention, the first raw material information of the first warehouse is obtained, then the first influence factor information influencing the first raw material is obtained according to the first raw material information, then the first storage arrangement diagram information of the first warehouse is obtained, and the first storage mode of the first raw material is obtained according to the first storage arrangement diagram information; and then inputting the first storage layout diagram information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: first storage layout information and identification information to identify a first result; the method comprises the steps of obtaining first output information of a first training model, wherein the first output information comprises a first result, the first result is a result for identifying that a first warehouse has a first influence factor, the first result output by the training model is more accurate through a process of supervising and learning the training model, the accurate result information of the first warehouse having the first influence factor is obtained, the accuracy of data is enhanced, the phenomenon that the performance of polymer materials prepared in the later period is not ideal due to incorrect storage modes is prevented, and further, a first influence degree is obtained according to the first result; judging whether the first influence degree exceeds a first preset influence degree threshold value or not; if yes, obtaining a first adjusting instruction; according to a first adjustment instruction, adjust first storage mode, thereby solved among the prior art often can carry out analysis and solution after the emergence of problem, accident etc., be difficult to monitor and prevent on the whole, often exist because deposit the environment, the storage mode goes wrong, thereby to the performance of the polymer material of production preparation, the technical problem that the stability of quality produces the influence, reached and effectively monitored the quality of raw and other materials, and then improve the performance of material, the stability of quality, promote the processing management level's of enterprise technical effect.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a processing method for improving the properties of a polymer material according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a processing apparatus for enhancing the properties of a polymer material according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another exemplary electronic device in an embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first training unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a first judging unit 18, a seventh obtaining unit 19, a first adjusting unit 20, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the invention provides a processing method and a processing device for improving the performance of a polymer material, which are used for solving the technical problems that in the prior art, analysis and solution can be performed only after problems, accidents and the like occur, monitoring and prevention are difficult to perform on the whole, and the performance and the quality stability of the produced and prepared polymer material are affected due to the occurrence of problems of a storage environment and a storage mode, so that the technical effects of effectively monitoring the quality of raw materials, further improving the performance and the quality stability of the material and improving the processing management level of enterprises are achieved. Hereinafter, example embodiments according to 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
Organic polymer materials, also known as polymers or high polymers, are macromolecules having a plurality of repeating monomer units formed by covalently bonding one or more molecules or groups of molecules (structural units or monomers), and have a molecular weight of up to 104~106. They may be natural products such as fibers, proteins, natural rubber, etc., or they may be synthetically produced, such as non-biological polymers of synthetic rubber, synthetic resins, synthetic fibers, etc. However, in the prior art, the problem, the accident and the like are often analyzed and solved after the occurrence, and the overall monitoring and prevention are difficult.
In order to solve the technical problems, the technical scheme provided by the invention has the following general idea:
the embodiment of the application provides a processing method for improving the performance of a polymer material, and the method comprises the following steps: obtaining first raw material information of a first warehouse; obtaining first influence factor information according to the first raw material information; obtaining first storage layout information for the first repository; obtaining a first storage mode of the first raw material according to the first storage layout information; inputting the first storage layout diagram information into a first training model, wherein the first 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 storage layout information and identification information to identify a first result; obtaining first output information of the first training model, wherein the first output information includes a first result, and the first result is a result identifying that the first repository has a first influence factor; obtaining a first influence degree according to the first result; judging whether the first influence degree exceeds a first preset influence degree threshold value or not; if yes, obtaining a first adjusting instruction; and adjusting the first storage mode according to the first adjusting instruction.
After the fundamental principle of the present application is introduced, the technical solutions of the present invention are described in detail with reference to the accompanying drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Example one
FIG. 1 is a schematic flow chart of a processing method for improving the performance of a polymer material according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a processing method for improving the performance of a polymer material, the method including:
step 100: obtaining first raw material information of a first warehouse;
specifically, the first warehouse is a building for storing raw materials or other related materials, and the first raw material information is basic raw materials for preparing the polymer material, i.e. products used at the starting point of the production process, including the type, weight, form, using method, caution, etc. of the raw materials. In practice, the first raw material will be stored on demand after it has been purchased. In other words, the first raw material refers to various raw materials and main materials, auxiliary materials, fuel, repair spare parts, packaging materials, outsourced semi-finished products, etc. which are processed by enterprises to change the form or the property thereof during the production process and constitute the main entity of the product. Therefore, raw materials are important components of enterprise inventory, and have a large number of varieties and specifications, and the storage mode of the raw materials needs to be controlled correctly in order to ensure the quality of materials processed subsequently.
Step 200: obtaining first influence factor information according to the first raw material information;
specifically, after the first raw material information is obtained, first influence factor information can be correspondingly obtained, where the first influence factor information is key factor information that influences the storage form of the first raw material and further influences the performance of the produced polymer material, for example, in the storage of the first raw material, it is necessary to ensure that the storage environment of the first raw material meets the conditions of temperature, illumination, humidity, and the like of the storage requirement. Meanwhile, the first influencing factor also comprises the influencing factor of the storage mode of the first raw material on the performance of the later-stage prepared polymer material, for example, the related raw material which is easy to generate chemical reaction needs to be stored at a certain distance in the storage process. For example, if the first raw material is powdered, during actual use, backlight is required, a humid environment is avoided, and a large amount of materials cannot be accumulated so as to avoid explosion, so that during actual storage, comprehensive consideration needs to be performed in combination with the influence of the first influence factor information, thereby avoiding accidents and causing influence on enterprise production.
Step 300: obtaining first storage layout information for the first repository;
step 400: obtaining a first storage mode of the first raw material according to the first storage layout information;
specifically, the first storage layout information is information related to the relative positions of stacks, channels, stack intervals, receiving and dispatching areas, and the like in the first raw material in the first warehouse, which are reasonably planned, and correctly processed, and therefore, the first storage layout information includes the size, space utilization, number of shelves, height of shelves, and the like of the first warehouse, the type, occupied area, storage area division, completeness of material packaging, and the like of the first raw material. Further, after the first storage layout information is obtained, the first storage method of the first raw material, that is, the condition information such as the storage method of the first raw material in the first warehouse, for example, the lighting information, the humidity information, the temperature information, the storage density, the accumulation method, and the like of the first raw material, may be obtained from the first storage layout information.
Step 500: inputting the first storage layout diagram information into a first training model, wherein the first 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 storage layout information and identification information to identify a first result;
step 600: obtaining first output information of the first training model, wherein the first output information includes a first result, and the first result is a result identifying that the first repository has a first influence factor;
specifically, after the first storage layout information is acquired, the result information of the first warehouse with the first influence factor is output through the neural network model.
Furthermore, the first training model is a neural network model in the machine learning model, and the first machine learning model can continuously learn through a large amount of data, further continuously correct the model, and finally obtain satisfactory experience to process other data. The first machine model is obtained by training a plurality of groups of training data, and the process of training the first neural network model by the training data is essentially a process of supervised learning. The first training model in the embodiment of the present application is obtained by performing machine learning training on a plurality of sets of training data, where each set of training data in the plurality of sets includes: first storage map information and identification information to identify the first result. Wherein the identification information of the first result is used as supervision data.
Further, the identification information of the first result is used as supervision data, the supervision data is input into each group of training data, the first storage layout chart information is supervised and learned, the identification information of the first result is compared with the output result of the training model, when the identification information of the first result is consistent with the output result of the training model, the supervision and learning of the group of data is completed, and the supervision and learning of the next group of data is performed; when the data are inconsistent, the training model carries out self-correction until the output result is consistent with the result of the first warehouse with the first influence factor, the group of supervised learning is finished, and the next group of data supervised learning is carried out; and (4) through supervised learning of a large amount of data, enabling the output result of the machine learning model to reach a convergence state, and finishing the supervised learning. Through the process of supervising and learning the training model, the first result output by the training model is more accurate, the accurate result information of the first warehouse with the first influence factor is obtained, the accuracy of data is enhanced, and the phenomenon that the performance of the polymer material prepared in the later stage is not ideal due to the incorrect storage mode is prevented from occurring.
Step 700: obtaining a first influence degree according to the first result;
step 800: judging whether the first influence degree exceeds a first preset influence degree threshold value or not;
step 900: if yes, obtaining a first adjusting instruction;
step 1000: and adjusting the first storage mode according to the first adjusting instruction.
Specifically, if the first repository has the first influence factor information, the influence degree of the first influence factor information needs to be further judged and analyzed, specifically: first, a first influence degree needs to be obtained according to a first result, that is, a first influence degree of a first influence factor in a first warehouse needs to be obtained, then, a first preset influence degree threshold needs to be obtained, where the first preset influence degree threshold is preset influence degree threshold information, and the first preset influence degree threshold can be set according to actual needs. For example, when the first influence factor of the first warehouse is a temperature factor, wherein the required temperature is 18 ℃, but the actual warehouse temperature is 23 ℃, it is indicated that the temperature of the first warehouse does not meet the predetermined requirement at this time, the influence degree of the temperature difference is further obtained, when the influence degree exceeds a preset value, a first adjustment instruction needs to be generated at this time, and then the first storage mode of the raw material is adjusted according to the first adjustment instruction, so that the temperature information of the raw material meets the requirement. For another example, the first result information in the first warehouse is that the raw materials to be reacted are stacked, which may cause the raw materials to change their own properties due to the reaction, and even may cause the warehouse to explode, so that when the stacking degree of the raw materials exceeds a predetermined value, a first adjustment instruction needs to be generated, and then the first storage mode of the raw materials is adjusted according to the first adjustment instruction, so that the stacking information of the raw materials meets the requirement, thereby avoiding the problem that the corresponding problem can not be analyzed and solved after the problem, the fault and the accident occur in the prior art, and the problem that the monitoring is difficult to be performed on the whole occurs, thereby ensuring the reliability of the storage environment and the storage mode, so that the quality of the raw materials can be effectively monitored, and further improving the performance and the quality stability of the materials, the technical effect of improving the processing management level of enterprises is achieved.
Further, in order to achieve the effect of improving the temperature stability of the production equipment, thereby ensuring the quality and performance of the polymer material, step 800 in this embodiment of the present application further includes:
step 810: if the first influence degree does not exceed the first preset influence degree threshold value, obtaining the current ambient temperature of the first production workshop before the first raw material is adopted to prepare the polymer material according to a preset strategy;
step 820: obtaining a nominal operating temperature range of a first production device, wherein the first production device is a device for preparing the polymer material;
step 830: judging whether the current environment temperature is within a rated working temperature range;
step 840: if not, a first forbidding instruction is obtained, wherein the first forbidding instruction is used for forbidding the first production equipment to start up and run.
Specifically, if the first influence degree does not exceed a first preset influence degree threshold, then preparing the polymer material by using a first raw material according to a preset strategy, and at the same time, before the polymer material is prepared, acquiring the current environmental temperature of a first production workshop, that is, acquiring real-time temperature information of the production workshop, and further acquiring a rated working temperature range of first production equipment, wherein the first production equipment is equipment required for preparing the polymer material, the rated working temperature range is an allowable working temperature range of the first production equipment, then performing comparative analysis by combining the rated working temperature range and the current environmental temperature, judging whether the current environmental temperature is within the rated working temperature range, and if the current environmental temperature is not within the rated working temperature range, generating a first prohibition instruction, and according to the first forbidding instruction, forbidding starting up and running of the first production equipment to prevent the production equipment from being influenced or even damaged if the production equipment is started when the temperature is inappropriate, so that the preparation of the polymer material is influenced, the temperature stability of the production equipment is improved, and the quality and the performance of the polymer material are ensured.
Further, in order to further achieve the effect of improving the use stability and the temperature stability of the production equipment, thereby ensuring the quality and the performance of the polymer material, step 800 in this embodiment of the present application further includes:
step 850: if the current environment temperature is within the rated working temperature range, preparing the polymer material by adopting the first raw material according to the preset strategy;
step 860: obtaining a first area in which the first production equipment is located during the preparation of the polymeric material;
step 870: obtaining current running state information of first production equipment;
step 880: when the current running state information of the first production equipment is in a working state, obtaining first temperature information of a first area where the first production equipment is located;
step 890: judging whether the first temperature information is within the rated working temperature range;
step 8100: if not, obtaining a first stopping instruction, wherein the first stopping instruction is used for stopping the operation of the first production equipment.
Specifically, if the current environment temperature is within a rated working temperature range, the polymer material is prepared by using a first raw material according to a preset strategy, and meanwhile, in the process of preparing the polymer material, a first area where first production equipment is located is obtained, wherein the first area is a predetermined range where the first production equipment belongs, namely, a corresponding radiation area which can affect the temperature of the first production equipment, and further, current running state information of the first production equipment is obtained, wherein the current running state information is current using state information of the first production equipment, such as a shutdown state, a fault maintenance state, a startup running state and the like, and if the current running state information of the first production equipment is in a working state, the heating condition of the first production equipment due to working or the walking of a worker, The influence of operation, action, speaking and the like can affect the temperature of the first area, so that the first temperature information of the first area, namely the first actual temperature information of the first area where the first production equipment is located, needs to be correspondingly obtained, whether the first temperature information is within the rated working temperature range is judged, if not, a first stop instruction is generated, and the working operation of the first production equipment is stopped according to the first stop instruction. In other words, if in actual operation, it is monitored that the operating state of the first production equipment is in operation, the temperature of the first area where the first production equipment is located needs to be monitored, for example, the first temperature is 500 ℃, and if the rated operating temperature range is 350 ℃ to 450 ℃, it is indicated that the first temperature at this time is not within the rated operating temperature range, the processing operation of the first production equipment needs to be stopped immediately, so as to prevent the continuous processing from affecting the service life of the production equipment, damaging the equipment, and further affecting the processing process and performance of the polymer material, so that the processing process of the polymer material needs to be controlled integrally, the use stability and temperature stability of the production equipment are improved, and the quality and performance of the finished polymer material are ensured.
Further, in order to achieve the effects of enhancing the data accuracy and accurately judging the defect information of the production equipment, the step 870 of the embodiment of the present application further includes:
step 871: inputting the current operating state information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the current operating state information and identification information used to identify a second result;
step 872: obtaining second output information of the second training model, wherein the second output information includes a second result, and the second result is a result identifying whether the first production device has a defect;
step 873: obtaining a second influence degree according to the second result;
step 874: judging whether the second influence degree exceeds a second preset influence degree threshold value or not;
step 875: and if so, obtaining a second stopping instruction, wherein the second stopping instruction is used for stopping the operation of the first production equipment and carrying out defect checking on the first production equipment.
Specifically, after first state information of the first production equipment is acquired, second result information is output through the second neural network model, wherein the second result information is result information of whether the first production equipment has defects. And then obtaining a second influence degree according to the second result, comparing and analyzing the second influence degree with a second preset influence degree threshold value, judging whether the second influence degree exceeds the second preset influence degree threshold value, if so, generating a second stop instruction, then stopping the production operation of the first production equipment under the instruction of the second stop instruction, and performing defect troubleshooting on the first production equipment.
Furthermore, the second training model is a neural network model in the machine learning model, and the machine learning model can continuously learn through a large amount of data, further continuously correct the model, and finally obtain satisfactory experience to process other data. The second machine model is obtained by training a plurality of groups of training data, and the process of training the second neural network model by the training data is essentially the process of supervised learning. The second training model in the embodiment of the present application is obtained by performing machine learning training on a plurality of sets of training data, where each set of training data in the plurality of sets includes: current operating state information and identification information for identifying the second result. Wherein the identification information of the second result is used as supervision data.
Further, the identification information of the second result is used as supervision data, the supervision data is input into each group of training data, the current running state information is supervised and learned, the identification information of the second result is compared with the output result of the training model, when the identification information of the second result is consistent with the output result of the training model, the group of data is supervised and learned, and the next group of data is supervised and learned; when the output result is inconsistent with the result information of whether the first production equipment with the mark has the defect, the supervised learning of the group is finished, and the supervised learning of the next group of data is carried out; and (4) through supervised learning of a large amount of data, enabling the output result of the machine learning model to reach a convergence state, and finishing the supervised learning. Through the process of supervising and learning the training model, whether the first production equipment output by the training model has defective result information is more accurate, whether the accurate first production equipment has defective result information is obtained, and the problem that the performance of the produced and processed polymer material is affected due to the defect of the production equipment and the phenomenon that the product does not reach the standard is avoided.
Further, in order to further achieve the effect of determining and analyzing whether the finished product storage mode of the polymer material is correct or not, and ensuring that the quality and performance of the finished product material are not affected, step 850 in this embodiment of the present application further includes:
step 851: obtaining second storage layout information for a second repository;
step 852: obtaining a first stacking manner of the polymer material according to the second storage layout information;
step 853: obtaining first quantity information of the polymeric material based on the second stored map information;
step 854: obtaining area information of the second warehouse;
step 855: obtaining a first stacking density of the polymeric material based on the first quantity information and the area information of the second warehouse;
step 856: judging whether the first stacking density is within a preset stacking density threshold range or not;
step 857: if not, obtaining a second adjusting instruction;
step 858: and adjusting the first stacking mode according to the second adjusting instruction.
Specifically, second storage layout information of a second warehouse is obtained, wherein the second warehouse is a warehouse for storing prepared finished polymer materials, the second storage layout information is related information of relative positions of stacks, channels, stacking intervals, receiving and dispatching areas and the like of the prepared polymer materials in the second warehouse, and the second storage layout information is related information of the relative positions of the stacks, the channels, the stacking intervals, the receiving and dispatching areas and the like of the prepared polymer materials, so that the second storage layout information comprises the size, the space utilization condition, the number of the shelves, the height of the shelves and the like of the second warehouse, the types, the occupied areas, the storage area division, the completeness of material packaging and the like of the prepared polymer materials, and then a first stacking mode of the polymer materials can be obtained from the second storage layout information, the first stacking mode is information of the placement positions and forms of the polymer materials and the like, and further, according to the second storage layout information, the method comprises the steps that first quantity information of finished polymer material products and area information of a second warehouse can be obtained, wherein the first quantity information is the quantity information of the processed and prepared polymer materials, the area information of the second warehouse is the area information occupied by the processed and prepared polymer materials when the processed and prepared polymer materials are stored, and then the first stacking density of the polymer materials can be correspondingly obtained according to the first quantity information and the area information of the second warehouse; further, acquiring a preset threshold range of the stacking density, comparing the first stacking density with the threshold range of the stacking density, and judging whether the first stacking density is within the threshold range of the stacking density; if not, the phenomenon that a large amount of polymer material is piled up is shown to the finished product storage, potential safety hazards may exist, certain risks are generated, and further the quality and the performance of the finished product material are affected, therefore, a second adjusting instruction needs to be generated, and the first stacking mode is adjusted according to the second adjusting instruction, so that the finished product storage of the polymer material meets the rule, the correctness of the finished product storage mode of the polymer material is further judged and analyzed, and the effect that the quality and the performance of the finished product material are not affected is ensured.
Further, in order to further achieve the effect of determining and analyzing whether the finished product storage mode of the polymer material is correct or not, and ensuring that the quality and performance of the finished product material are not affected, step 8571 in this embodiment of the present application further includes:
step 8571: obtaining first pressure information for each of the polymeric materials if the first stack density is within the preset stack density threshold range;
step 8572: judging whether the first pressure information of each polymer material is within a preset pressure threshold range or not;
step 8573: if not, obtaining a third adjusting instruction;
step 8574: and adjusting the first stacking mode according to the third adjusting instruction.
Specifically, if the first stacking density is within a preset stacking density threshold range, which indicates that the polymer material is not stacked in a large amount, first pressure information of each polymer material needs to be obtained, where the first pressure information is a pressure condition of each polymer material, then the preset pressure threshold range is obtained, the first pressure information of each polymer material is compared with the preset pressure threshold range, whether the first pressure information of each polymer material is within the preset pressure threshold range is determined, if the first pressure information is not within the preset pressure threshold range, which indicates that some polymer materials are partially extruded, so that the quality and performance of the materials, such as service performance, may be affected, a third adjustment instruction is generated, and according to the third adjustment instruction, the first stacking mode is adjusted, so that the storage of the finished product of the polymer material meets the rule, and further, whether the storage mode of the finished product of the polymer material is correct or not is determined and analyzed, the quality and performance of the finished product material are not affected.
Further, in order to ensure the safety of raw material information storage and improve the effect of accuracy of storage, step 100 in this embodiment of the present application further includes:
step 110: generating a first verification code according to the first raw material information, wherein the first verification code corresponds to the first raw material information one to one;
step 120: generating a second verification code according to the second raw material information and the first verification code; by analogy, obtaining the Nth raw material information; generating an Nth verification code according to the Nth raw material information and the Nth-1 verification code, wherein N is a natural number greater than 1;
step 130: and respectively copying and storing all raw material information and verification codes on M devices, wherein M is a natural number greater than 1.
In particular, to ensure the security of data information storage, ensuring it is not tampered with, a blockchain based encryption operation may be performed. The block chain technology is a universal underlying technical framework, and can generate and synchronize data on distributed nodes through a consensus mechanism, and realize automatic execution and data operation of contract terms by means of programmable scripts. A block chain is defined as a data structure that organizes data blocks in time sequence, with chain-like connections being formed in order between different blocks, by means of which a digital ledger is built.
Further, in order to ensure the safety of the storage of the first raw material information, a first verification code is generated according to the first raw material information, wherein the first verification code corresponds to the first raw material information one to one; generating a second verification code according to the second raw material information and the first verification code; generating an Nth verification code according to the Nth raw material information and the N-1 th verification code; taking the first raw material information and the first verification code as a first storage unit; taking the second raw material information and the second verification code as a second storage unit; the Nth storage unit is the Nth raw material information and the Nth verification code. Respectively copying and storing the first storage unit, the second storage unit and the & gtNth storage unit on N devices; when the training data needs to be called, after each next node receives the data stored by the previous node, the data is verified through a 'consensus mechanism' and then stored, each storage unit is connected in series through a Hash technology, so that the training data is not easy to lose and damage, the raw material information is encrypted in a mode of obtaining the whole training data by carrying out block chain calculation on each data information, and then the safe and accurate training data is obtained, thereby achieving the technical purpose of ensuring the preparation safety of the polymer material.
Further, in order to further ensure the safety of raw material information storage and improve the accuracy of storage, step 100 in this embodiment of the present application further includes:
step 140: taking the Nth raw material information and the Nth-1 verification code as an Nth block;
step 150: 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 160: 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 170: and sending the recording right of the Nth block to the first equipment.
Specifically, a predetermined recording time required for the first storage unit is obtained, a device which cannot complete recording of the first storage unit within a predetermined time is excluded, a device which records the first storage unit most rapidly among the N devices is obtained, and the recording right of the first storage unit is given to the device. Furthermore, the second storage unit, the third storage unit,. cndot.. cndot.and the Nth storage unit all adopt the recording method like the first storage unit, so that the safe, effective and stable operation of the decentralized block chain system is ensured, the storage units can be ensured to be rapidly and accurately recorded in the equipment, and the data is further ensured to be difficult to lose and the safety. The raw material information is encrypted based on the block chain, so that the safety of the raw material information is effectively guaranteed, the technical effect of safely storing the raw material information is achieved, and the stability and the safety of monitoring and processing in the material preparation process are promoted.
Example two
Based on the same inventive concept as the processing method for improving the performance of the polymer material in the previous embodiment, the invention further provides a processing device for improving the performance of the polymer material, as shown in fig. 2, the device comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is configured to obtain first raw material information of a first warehouse;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first influence factor information according to the first raw material information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain first storage layout information of the first warehouse;
a fourth obtaining unit 14, wherein the fourth obtaining unit 14 is configured to obtain a first storage manner of the first raw material according to the first storage layout information;
a first training unit 15, where the first training unit 15 is configured to input the first storage layout information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first storage layout information and identification information to identify a first result;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain first output information of the first training model, where the first output information includes a first result, and the first result is a result that identifies that the first warehouse has a first influence factor;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain a first influence degree according to the first result;
a first judging unit 18, where the first judging unit 18 is configured to judge whether the first influence exceeds a first preset influence threshold;
a seventh obtaining unit 19, wherein the seventh obtaining unit 19 is configured to obtain the first adjustment instruction if the first adjustment instruction exceeds the first adjustment instruction;
a first adjusting unit 20, wherein the first adjusting unit 20 is configured to adjust the first storage manner according to the first adjusting instruction.
Further, the apparatus further comprises:
an eighth obtaining unit, configured to obtain a current ambient temperature of the first production plant before the first raw material is used to prepare a polymer material according to a preset strategy if the first influence degree does not exceed the first preset influence degree threshold;
a ninth obtaining unit configured to obtain a rated operating temperature range of first production equipment, wherein the first production equipment is equipment for producing the polymer material;
the second judging unit is used for judging whether the current environment temperature is within a rated working temperature range;
a tenth obtaining unit, configured to obtain a first prohibition instruction if the first production device is not in the first obtaining unit, where the first prohibition instruction is used to prohibit the first production device from being powered on.
Further, the apparatus further comprises:
the first execution unit is used for preparing the polymer material by adopting the first raw material according to the preset strategy if the current environment temperature is within the rated working temperature range;
an eleventh obtaining unit for obtaining a first region where the first production apparatus is located in a process of producing the polymer material;
a twelfth obtaining unit, configured to obtain current operating state information of the first production apparatus;
a thirteenth obtaining unit, configured to obtain, when the current operation state information of the first production apparatus is an operating state, first temperature information of a first area in which the first production apparatus is located;
the third judging unit is used for judging whether the first temperature information is within the rated working temperature range;
a fourteenth obtaining unit, configured to obtain a first stop instruction if the first stop instruction is not in the first obtaining unit, where the first stop instruction is used to stop operation of the first production device.
Further, the apparatus further comprises:
a second training unit, configured to input the current operating state information into a second training model, where the second training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the current operating state information and identification information used to identify a second result;
a fifteenth obtaining unit, configured to obtain second output information of the second training model, where the second output information includes a second result, and the second result is a result of identifying whether the first production device has a defect;
a sixteenth obtaining unit, configured to obtain a second influence degree according to the second result;
a fourth judging unit, configured to judge whether the second influence exceeds a second preset influence threshold;
a seventeenth obtaining unit, configured to obtain a second stop instruction if the first stop instruction exceeds the second stop instruction, where the second stop instruction is used to stop operation of the first production device and perform defect checking on the first production device.
Further, the apparatus further comprises:
an eighteenth obtaining unit that obtains second storage arrangement diagram information of a second warehouse;
a nineteenth obtaining unit for obtaining a first stacking manner of the polymer material based on the second storage layout information;
a twentieth obtaining unit for obtaining first quantity information of the polymer material from the second storage map information;
a twenty-first obtaining unit configured to obtain area information of the second warehouse;
a twenty-second obtaining unit for obtaining a first stacking density of the polymer material based on the first quantity information, the area information of the second warehouse;
a fifth judging unit, configured to judge whether the first stacking density is within a preset stacking density threshold range;
a twenty-second obtaining unit, configured to obtain a second adjustment instruction if the second adjustment instruction is not in the second state;
and the first adjusting unit is used for adjusting the first stacking mode according to the second adjusting instruction.
Further, the apparatus further comprises:
a twenty-third obtaining unit for obtaining first pressure information of each of the polymeric materials if the first stack density is within the preset stack density threshold range;
a sixth judging unit, configured to judge whether the first pressure information of each polymer material is within a preset pressure threshold range;
a twenty-fourth obtaining unit, configured to obtain a third adjustment instruction if the current position is not in the preset position;
and the second adjusting unit is used for adjusting the first stacking mode according to the third adjusting instruction.
Further, the apparatus further comprises:
a first generating unit, configured to generate a first verification code according to the first raw material information, where the first verification code corresponds to the first raw material information one to one;
a second generation unit configured to generate a second verification code from the second raw material information and the first verification code; by analogy, obtaining the Nth raw material information; generating an Nth verification code according to the Nth raw material information and the Nth-1 verification code, wherein N is a natural number greater than 1;
the first storage unit is used for respectively copying and storing all raw material information and verification codes on M devices, wherein M is a natural number larger than 1.
Various modifications and embodiments of the processing method for improving polymer material performance in the first embodiment of fig. 1 are also applicable to the processing apparatus for improving polymer material performance in the present embodiment, and the detailed description of the processing method for improving polymer material performance will be clear to those skilled in the art, so that the detailed description thereof is omitted here for brevity.
EXAMPLE III
Based on the same inventive concept as the processing method for improving the performance of the polymer material in the foregoing embodiment, the present invention further provides an exemplary electronic device, as shown in fig. 3, including a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302, wherein the processor 302, when executing the program, implements the steps of any one of the foregoing big-data-based cloud platform e-commerce data processing methods.
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.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the processing method and the processing device for improving the performance of the polymer material, provided by the embodiment of the invention, the first raw material information of a first warehouse is obtained; obtaining first influence factor information according to the first raw material information; obtaining first storage layout information for the first repository; obtaining a first storage mode of the first raw material according to the first storage layout information; inputting the first storage layout diagram information into a first training model, wherein the first 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 storage layout information and identification information to identify a first result; obtaining first output information of the first training model, wherein the first output information includes a first result, and the first result is a result identifying that the first repository has a first influence factor; obtaining a first influence degree according to the first result; judging whether the first influence degree exceeds a first preset influence degree threshold value or not; if yes, obtaining a first adjusting instruction; according to the first adjusting instruction, the first storage mode is adjusted, so that the technical problems that in the prior art, analysis and solution can be performed after problems, accidents and the like occur, monitoring and prevention are difficult to perform on the whole, and problems occur due to storage environment and storage mode, so that the performance and quality stability of produced and prepared polymer materials are affected are solved, the quality of raw materials is effectively monitored, the performance and quality stability of the materials are improved, and the processing management level of enterprises is improved.
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 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 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.
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 process for enhancing the properties of a polymeric material, wherein the process comprises:
obtaining first raw material information of a first warehouse;
obtaining first influence factor information according to the first raw material information;
obtaining first storage layout information for the first repository;
obtaining a first storage mode of the first raw material according to the first storage layout information;
inputting the first storage layout diagram information into a first training model, wherein the first 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 storage layout information and identification information to identify a first result;
obtaining first output information of the first training model, wherein the first output information includes a first result, and the first result is a result identifying that the first repository has a first influence factor;
obtaining a first influence degree according to the first result;
judging whether the first influence degree exceeds a first preset influence degree threshold value or not;
if yes, obtaining a first adjusting instruction;
and adjusting the first storage mode according to the first adjusting instruction.
2. The method of claim 1, wherein the method further comprises:
if the first influence degree does not exceed the first preset influence degree threshold value, obtaining the current ambient temperature of the first production workshop before the first raw material is adopted to prepare the polymer material according to a preset strategy;
obtaining a nominal operating temperature range of a first production device, wherein the first production device is a device for preparing the polymer material;
judging whether the current environment temperature is within a rated working temperature range;
if not, a first forbidding instruction is obtained, wherein the first forbidding instruction is used for forbidding the first production equipment to start up and run.
3. The method of claim 2, wherein the method further comprises:
if the current environment temperature is within the rated working temperature range, preparing the polymer material by adopting the first raw material according to the preset strategy;
obtaining a first area in which the first production equipment is located during the preparation of the polymeric material;
obtaining current running state information of first production equipment;
when the current running state information of the first production equipment is in a working state, obtaining first temperature information of a first area where the first production equipment is located;
judging whether the first temperature information is within the rated working temperature range;
if not, obtaining a first stopping instruction, wherein the first stopping instruction is used for stopping the operation of the first production equipment.
4. The method of claim 3, wherein the method further comprises:
inputting the current operating state information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the current operating state information and identification information used to identify a second result;
obtaining second output information of the second training model, wherein the second output information includes a second result, and the second result is a result identifying whether the first production device has a defect;
obtaining a second influence degree according to the second result;
judging whether the second influence degree exceeds a second preset influence degree threshold value or not;
and if so, obtaining a second stopping instruction, wherein the second stopping instruction is used for stopping the operation of the first production equipment and carrying out defect checking on the first production equipment.
5. The method of claim 3, wherein after the preparing the polymeric material from the first raw material according to the predetermined strategy, the method further comprises:
obtaining second storage layout information for a second repository;
obtaining a first stacking manner of the polymer material according to the second storage layout information;
obtaining first quantity information of the polymeric material based on the second stored map information;
obtaining area information of the second warehouse;
obtaining a first stacking density of the polymeric material based on the first quantity information and the area information of the second warehouse;
judging whether the first stacking density is within a preset stacking density threshold range or not;
if not, obtaining a second adjusting instruction;
and adjusting the first stacking mode according to the second adjusting instruction.
6. The method of claim 5, wherein after the preparing the polymeric material from the first raw material according to the predetermined strategy, the method further comprises:
obtaining first pressure information for each of the polymeric materials if the first stack density is within the preset stack density threshold range;
judging whether the first pressure information of each polymer material is within a preset pressure threshold range or not;
if not, obtaining a third adjusting instruction;
and adjusting the first stacking mode according to the third adjusting instruction.
7. The method of claim 5, wherein after the preparing the polymeric material from the first raw material according to the predetermined strategy, the method further comprises:
generating a first verification code according to the first raw material information, wherein the first verification code corresponds to the first raw material information one to one;
generating a second verification code according to the second raw material information and the first verification code; by analogy, obtaining the Nth raw material information; generating an Nth verification code according to the Nth raw material information and the Nth-1 verification code, wherein N is a natural number greater than 1;
and respectively copying and storing all raw material information and verification codes on M devices, wherein M is a natural number greater than 1.
8. A processing apparatus for enhancing the properties of a polymeric material, the apparatus comprising:
a first obtaining unit for obtaining first raw material information of a first warehouse;
a second obtaining unit configured to obtain first influence factor information according to the first raw material information;
a third obtaining unit configured to obtain first storage layout information of the first warehouse;
a fourth obtaining unit configured to obtain a first storage manner of the first raw material according to the first storage layout information;
a first training unit, configured to input the first storage layout information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first storage layout information and identification information to identify a first result
A fifth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first result, and the first result is a result that identifies that the first warehouse has a first influence factor;
a sixth obtaining unit configured to obtain a first influence degree according to the first result;
the first judging unit is used for judging whether the first influence exceeds a first preset influence threshold value or not;
a seventh obtaining unit, configured to obtain the first adjustment instruction if the first adjustment instruction exceeds the first adjustment instruction;
and the first adjusting unit is used for adjusting the first storage mode according to the first adjusting instruction.
9. A processing apparatus for enhancing the properties of a polymeric material, 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 to 7 when executing the program.
CN202011072487.6A 2020-10-09 2020-10-09 Processing method and device for improving performance of polymer material Active CN112348429B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011072487.6A CN112348429B (en) 2020-10-09 2020-10-09 Processing method and device for improving performance of polymer material

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011072487.6A CN112348429B (en) 2020-10-09 2020-10-09 Processing method and device for improving performance of polymer material

Publications (2)

Publication Number Publication Date
CN112348429A true CN112348429A (en) 2021-02-09
CN112348429B CN112348429B (en) 2022-03-25

Family

ID=74361558

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011072487.6A Active CN112348429B (en) 2020-10-09 2020-10-09 Processing method and device for improving performance of polymer material

Country Status (1)

Country Link
CN (1) CN112348429B (en)

Cited By (1)

* 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

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160019554A1 (en) * 2014-07-15 2016-01-21 Emily M. MacDonald-Korth Standard System and Method for Assigning Ratings to Art Materials and Works of Art Based on the Projected Stability of the Constituents
CN109034605A (en) * 2018-07-23 2018-12-18 叶苑庭 A kind of cargo mass assessment system of the warehouse logistics based on big data
CN109335433A (en) * 2018-10-15 2019-02-15 陕西为康食品科技股份有限公司 A kind of Intelligent logistics warehousing system
CN109543650A (en) * 2018-12-04 2019-03-29 钟祥博谦信息科技有限公司 Warehouse intelligent control method and system
CN110261703A (en) * 2019-07-08 2019-09-20 厦门理工学院 A kind of transformer fault method for early warning, terminal device and storage medium
CN110394432A (en) * 2019-08-22 2019-11-01 联峰钢铁(张家港)有限公司 A kind of method of inspection and device of continuous casting protection pouring
CN111612398A (en) * 2020-05-21 2020-09-01 北京每日优鲜电子商务有限公司 Warehouse goods distribution method and device, computer equipment and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160019554A1 (en) * 2014-07-15 2016-01-21 Emily M. MacDonald-Korth Standard System and Method for Assigning Ratings to Art Materials and Works of Art Based on the Projected Stability of the Constituents
CN109034605A (en) * 2018-07-23 2018-12-18 叶苑庭 A kind of cargo mass assessment system of the warehouse logistics based on big data
CN109335433A (en) * 2018-10-15 2019-02-15 陕西为康食品科技股份有限公司 A kind of Intelligent logistics warehousing system
CN109543650A (en) * 2018-12-04 2019-03-29 钟祥博谦信息科技有限公司 Warehouse intelligent control method and system
CN110261703A (en) * 2019-07-08 2019-09-20 厦门理工学院 A kind of transformer fault method for early warning, terminal device and storage medium
CN110394432A (en) * 2019-08-22 2019-11-01 联峰钢铁(张家港)有限公司 A kind of method of inspection and device of continuous casting protection pouring
CN111612398A (en) * 2020-05-21 2020-09-01 北京每日优鲜电子商务有限公司 Warehouse goods distribution method and device, computer equipment and storage medium

Cited By (1)

* 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

Also Published As

Publication number Publication date
CN112348429B (en) 2022-03-25

Similar Documents

Publication Publication Date Title
CN112098814B (en) Method and device for improving chip test temperature control precision
CN111106603B (en) Method and system for identifying limit interval of thermal stability power of power transmission section
CN110247725B (en) Line fault troubleshooting method and device for OTN (optical transport network) and terminal equipment
CN112348429B (en) Processing method and device for improving performance of polymer material
CN111525495A (en) Relay protection fixed value online checking method and system and computer storage medium
CN107239876A (en) A kind of management method and system of nuclear power plant I&C ageing equipment life cycles
CN114021846A (en) Industrial enterprise equipment state early warning method and system
CN115713320A (en) Operation and maintenance strategy optimization method and device for equipment, equipment and storage medium
CN117347869B (en) Data analysis method and device for energy storage battery management system, electronic equipment and medium
CN112527573B (en) Interface testing method, device and storage medium
CN115271685B (en) Monitoring method and device for maintenance period of high-precision equipment in railway industry
CN113049793A (en) Production detection verification method and device for Abs composite material
CN114384885A (en) Process parameter adjusting method, device, equipment and medium based on abnormal working conditions
CN111401760A (en) Safety and stability control device exception handling decision method and device
CN112184474B (en) Intelligent material manufacturing method and device based on block chain
CN116541392A (en) Verification and adjustment method, device, equipment and medium for verification and adjustment of detection data
EP4030366A1 (en) Method and system for automatic service level agreement conflict and accountability resolution
CN110943448B (en) Security control device refusing action fault simulation method, system and storage medium
CN113705834A (en) Real-time unit power generation plan inspection method and device
CN116302957A (en) Supercritical unit early warning model test method and device based on big data platform
CN114626672A (en) Stability control device abnormal influence evaluation method and system, storage medium and computing equipment
Seifi et al. Implementation and Numerical Results
CN116301884A (en) Database performance management and control method and device, electronic equipment and storage medium
CN113114634A (en) Credible data management method based on alliance chain and alliance chain
Sharma RELIABILITY MODELING OF A BUTTER CHURNER AND CONTINUOUS BUTTER MAKING PRODUCTION SYSTEM

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant