CN114228008B - Plastic molding method and system - Google Patents
Plastic molding method and system Download PDFInfo
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- CN114228008B CN114228008B CN202111562257.2A CN202111562257A CN114228008B CN 114228008 B CN114228008 B CN 114228008B CN 202111562257 A CN202111562257 A CN 202111562257A CN 114228008 B CN114228008 B CN 114228008B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C37/00—Component parts, details, accessories or auxiliary operations, not covered by group B29C33/00 or B29C35/00
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C37/00—Component parts, details, accessories or auxiliary operations, not covered by group B29C33/00 or B29C35/00
- B29C2037/90—Measuring, controlling or regulating
- B29C2037/903—Measuring, controlling or regulating by means of a computer
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C37/00—Component parts, details, accessories or auxiliary operations, not covered by group B29C33/00 or B29C35/00
- B29C2037/90—Measuring, controlling or regulating
- B29C2037/906—Measuring, controlling or regulating using visualisation means or linked accessories, e.g. screens, printers
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- Injection Moulding Of Plastics Or The Like (AREA)
Abstract
The application provides a plastic molding method and a system, the plastic molding method is applied to a main control device, the main control device comprises a processor, a user interface and a communication interface, the processor is connected with the user interface, the communication interface is connected with the processor, the communication interface is also connected with a plastic molding machine in a communication way, wherein the processor is used for carrying out plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme and transmitting the plastic molding scheme to the communication interface, the user interface is used for exchanging with a user to acquire information content input by the user and transmitting the information content to the processor to generate the plastic molding scheme, and the plastic molding scheme is transmitted to the plastic molding machine through the communication interface to control the plastic molding machine to execute a plastic molding process according to the plastic molding scheme. So as to solve the problem of more waste materials generated in the plastic molding process.
Description
Technical Field
The application relates to the technical field of plastics, in particular to a plastic molding method and a plastic molding system.
Background
Many products in realizing life are plastic molded products, such as: film, thin sheet, plate, pipe, bar, packing box, battery box, electronic product shell, etc., but the intelligent degree of the present plastic molding processing factory is relatively low, mainly adopts the manual setting plastic molding scheme to execute with corresponding product of plastic molding. However, at present, a manually formulated plastic molding scheme is adopted, so that a large amount of waste materials are often generated in the plastic molding process.
Disclosure of Invention
The embodiment of the application provides a plastic molding method and a system, which are used for solving the problem of more waste materials generated in the plastic molding process.
The embodiment of the application provides a plastic molding method, which is applied to main control equipment, wherein the main control equipment comprises a processor, a user interface and a communication interface, the processor is connected with the user interface, the communication interface is connected with the processor, the communication interface is also connected with a plastic molding machine in a communication way, the processor is used for carrying out plastic molding scheme generation operation through a plastic molding prediction model so as to generate a plastic molding scheme and transmitting the plastic molding scheme to the communication interface, and the user interface is used for exchanging with a user so as to acquire information content input by the user and transmitting the information content to the processor, and the method comprises the following steps:
acquiring a first plastic molding scheme and the current residual quantity of plastic, wherein the first plastic molding scheme is acquired through the user interface;
inputting the first plastic molding scheme and the current residual quantity of the plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, and the second plastic molding scheme is generated by the processor;
and sending the second plastic molding scheme to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme.
The embodiment of the application provides a plastic molding system, which comprises a main control device and a plastic molding machine, wherein the main control device comprises a processor, a user interface and a communication interface, the processor is connected with the user interface, the communication interface is connected with the processor, the communication interface is also connected with the plastic molding machine in a communication way, the processor is used for carrying out plastic molding scheme generating operation through a plastic molding prediction model so as to generate a plastic molding scheme and transmitting the plastic molding scheme to the communication interface, and the user interface is used for exchanging with a user so as to acquire information content input by the user and transmitting the information content to the processor;
the main control equipment is used for acquiring a first plastic molding scheme and the current residual quantity of plastic;
the main control equipment is also used for inputting the first plastic molding scheme and the current residual quantity of the plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, and the amount of waste generated by the second plastic molding scheme is lower than that of the waste generated by the first plastic molding scheme;
the main control equipment is also used for sending the second plastic molding scheme to the plastic molding machine through the communication interface;
the plastic molding machine is used for executing a plastic molding process according to the second plastic molding scheme.
In an embodiment of the present application, the main control device includes a processor, a user interface, and a communication interface, where the processor is connected to the user interface, the communication interface is connected to the processor, and the communication interface is further connected to the plastic molding machine in a communication manner, where the processor is configured to perform a plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme, and transmit the plastic molding scheme to the communication interface, and the user interface is configured to exchange with a user to obtain information content input by the user, and transmit the information content to the processor, and the method includes: acquiring a first plastic molding scheme and the current residual quantity of plastic, wherein the first plastic molding scheme is acquired through the user interface; inputting the first plastic molding scheme and the current residual quantity of the plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, and the second plastic molding scheme is generated by the processor; and sending the second plastic molding scheme to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme. Thus, performing the plastic molding process according to the second plastic molding scheme may reduce the amount of scrap material generation.
Drawings
FIG. 1 is a schematic diagram of a system provided by an embodiment of the present application;
FIG. 2 is a flow chart of a plastic molding method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of another plastic molding method according to an embodiment of the present application;
fig. 4 is a schematic diagram of a plastic molding system according to an embodiment of the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
FIG. 1 is a schematic diagram of a system according to an embodiment of the present application, as shown in FIG. 1, including: a main control device 11 and at least one plastic molding machine 12, wherein the main control device 11 comprises: the processor 111, the user interface 112 and the communication interface 113 are configured with a plastic molding prediction model in the processor 111, wherein the plastic molding prediction model can be a reinforcement learning model, and the model can be pre-configured or timely trained for performing a plastic molding scheme generating operation to generate a plastic molding scheme; the user interface 112 may include a user input unit, such as a touch panel, as well as other input devices. Touch panels, also known as touch screens. The touch panel may include two parts, a touch detection device and a touch controller. Other input devices may include, but are not limited to, a physical keyboard, a trackball, a mouse, a joystick, and the like. The communication interface 113 is used to communicate with at least one plastic molding machine 12 to communicate execution commands. In embodiments of the present application, at least one plastic molding machine 12 may comprise the same or different types of plastic molding machines that may be used to mold (i.e., process) the same or different products, such as: including but not limited to films, sheets, plates, tubing, rods, packaging boxes, battery cases, electronics housings, and the like.
It should be noted that, in the embodiment of the present application, the main control device may be an electronic device with artificial intelligence, such as a calculator, a server, etc. In embodiments of the present application, plastic molding machines include, but are not limited to, plastic injection molding machines, plastic extruders, plastic blow molding machines, presses and transfer molding machines, thermoforming machines, and the like.
Fig. 2 is a flowchart of a plastic molding method according to an embodiment of the present application, where the method is applied to a master control device, and the master control device includes a processor, a user interface, and a communication interface, where the processor is connected to the user interface, the communication interface is connected to the processor, and the communication interface is further connected to a plastic molding machine, and the processor is configured to perform a plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme, and transmit the plastic molding scheme to the communication interface, and the user interface is configured to exchange with a user to obtain information content input by the user, and transmit the information content to the processor, as shown in fig. 2, where the method includes:
step 201, acquiring a first plastic molding scheme and a current residual amount of plastic, wherein the first plastic molding scheme is acquired through the user interface;
step 202, inputting the first plastic molding scheme and the current residual amount of plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation, so as to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, and the second plastic molding scheme is generated by the processor;
step 203, sending the second plastic molding scheme to the plastic molding machine through the communication interface, so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme.
The first plastic molding scheme may be a first plastic molding scheme that receives a user input through the user interface, and the first plastic molding scheme may be a plastic molding scheme generated by a user according to his own working experience.
In an embodiment of the present application, the plastic molding scheme includes, but is not limited to: plastic molding products, models, quantity, plastic molding process, plastic molding machine adopted for plastic molding, plastic molding time and the like.
The current remaining amount of plastic obtained in step 201 may be the current remaining amount of the factory entered by the user through the user interface.
The first plastic molding prediction model may be a pre-trained plastic molding scheme for performing a plastic molding scheme generating operation according to one plastic molding scheme and a current remaining amount of plastic to generate another plastic molding scheme, i.e., a second plastic molding scheme, for adjusting the one plastic molding scheme. Among other things, these adjustments employ constraints that include the generation of new plastic molding schemes that produce lower amounts of scrap than existing plastic molding schemes. In this way, in the embodiment of the present application, the first plastic molding prediction model may be a second plastic molding scheme that generates a lower amount of waste than the first plastic molding scheme, so as to achieve the effect of reducing the amount of waste. The amount of waste produced may be the total amount of waste produced by processing a quantity of one or more products.
The above-mentioned sending the second plastic molding scheme to the plastic molding machine through the communication interface, so as to control the plastic molding machine to execute the plastic molding process according to the second plastic molding scheme may be understood that the above-mentioned main control device sends the second plastic molding scheme to the corresponding plastic molding machine through the communication interface, for example: when the second plastic molding scheme relates to a plurality of plastic molding machines, the second plastic molding scheme is split into a plurality of sub-schemes, each sub-scheme is sent to the corresponding plastic molding machine, and after the sub-scheme is received by the plastic molding machine, the plastic molding process is executed according to the received sub-scheme so as to process the corresponding product.
In an embodiment of the present application, the main control device includes a processor, a user interface, and a communication interface, where the processor is connected to the user interface, the communication interface is connected to the processor, and the communication interface is further connected to the plastic molding machine in a communication manner, where the processor is configured to perform a plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme, and transmit the plastic molding scheme to the communication interface, and the user interface is configured to exchange with a user to obtain information content input by the user, and transmit the information content to the processor, and the method includes: acquiring a first plastic molding scheme and the current residual quantity of plastic, wherein the first plastic molding scheme is acquired through the user interface; inputting the first plastic molding scheme and the current residual quantity of the plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, and the second plastic molding scheme is generated by the processor; and sending the second plastic molding scheme to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme. Thus, performing the plastic molding process according to the second plastic molding scheme may reduce the amount of scrap material generation.
In one embodiment, the first plastic molding scheme includes:
and receiving a scheme editing operation input by a user, and responding to a first plastic molding scheme generated by the scheme editing operation.
The scheme editing operation may be a scheme editing operation generated by a user according to experience or history, so as to obtain a first plastic molding scheme corresponding to the experience or history. .
In one embodiment, the first plastic molding prediction model includes: the prediction module and the rewarding module are used for inputting the first plastic molding scheme and the current residual quantity of the plastic into a first plastic molding prediction model obtained in advance to perform plastic molding scheme generation operation, and the step of obtaining a second plastic molding scheme comprises the following steps:
inputting the first plastic molding scheme and the current residual quantity of the plastic into the prediction module of the first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme;
the method further comprises the steps of:
outputting updated current residual quantity of plastic to the prediction module according to the second plastic molding scheme by the rewarding module of the first plastic molding prediction model, and rewarding information aiming at the second plastic molding scheme;
and learning and updating the prediction module based on the rewarding information.
The first plastic molding prediction model may be a reinforcement learning model.
The first plastic molding prediction model comprises a prediction module and a reward module, wherein the prediction module is a neural network, the input of the prediction module comprises a first plastic molding scheme and the current residual quantity of plastic, and the prediction module predicts a second plastic molding scheme, namely, the execution action output by the prediction module; and after the rewarding module receives the action, feeding back updated current residual quantity of plastic and rewarding information to the prediction module, wherein the current residual quantity and rewarding information are positive rewarding when the action is effective, and punishment when the action is ineffective.
A second plastic molding scheme may output an action for the prediction module, the reward information output by the reward module may be understood as a reward for the current action, specifically, a score, the higher the score is, the better the scheme is, and the reward information may be a reduced value relative to the first plastic molding scheme. According to the plastic molding prediction model, parameters of the prediction module are updated through interaction between the prediction module and the rewarding module for a plurality of times, so that the prediction module gradually learns an optimal plastic molding scheme.
The training process of the model can be performed with long-term benefits as targets, for example: if the time window is one week long, the prediction module outputs a prediction of the plastic molding, which takes the maximum time of one week into consideration, so as to reduce the amount of waste.
In the embodiment of the application, the prediction module is learned and updated based on the reward information, so that the amount of waste generated by the second plastic molding scheme output by the first plastic molding prediction model is smaller.
In one embodiment, before the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-acquired first plastic molding prediction model to perform a plastic molding scheme generating operation to obtain a second plastic molding scheme, the method further includes:
obtaining a plurality of plastic quantity data samples and a plurality of plastic molding scheme sample information, wherein the plastic molding scheme sample information corresponds to the plastic quantity data samples one by one, and each plastic molding scheme sample information is also marked with waste quantity marking information;
training the preset initial model by the plastic quantity data samples and the plastic molding scheme sample information to obtain the first plastic molding prediction model.
A plurality of plastic quantity data samples may be obtained, each plastic quantity data sample representing a corresponding remaining plastic quantity, and plastic molding scheme sample information may be obtained for each plastic quantity data sample, wherein the plastic quantity data samples and the plastic molding scheme sample information may be historical plastic quantities and corresponding plastic molding schemes. And these plastic molding schemes may involve one or more products.
The training of the preset initial model may be to repeatedly adjust parameters in the initial model through the plastic amount data sample and the plastic molding scheme sample information, so as to obtain a final first plastic molding prediction model. The training mode is not limited in the embodiment of the application.
In the embodiment, the waste amount marking information is marked on the sample information of the plastic molding scheme, so that the waste amount generated by the plastic molding scheme generated by the plastic molding prediction model obtained through training is more accurate.
In some embodiments, environmental information and equipment information that can be further labeled in the sample information of the plastic molding scheme can be further obtained, where the environmental information can include: the air humidity and air temperature, and the equipment information comprises performance parameters, ageing degree, yield and failure rate of the plastic forming machine. The training model performance can be enabled to be more through the environment information and the equipment information, and the corresponding plastic molding scheme can be predicted according to the environment information and the equipment information in the production process, so that the accuracy of the plastic molding scheme is further improved.
In one embodiment, each of the plastic molding scheme sample information includes: a first plastic molding scheme sample and a second plastic molding scheme sample, wherein the first plastic molding scheme sample produces a lower amount of scrap than the second plastic molding scheme sample.
The sample information of each plastic molding scheme comprises: the first plastic molding scheme sample and the second plastic molding scheme sample can accurately generate a second plastic molding scheme based on the first plastic molding scheme and the current residual amount of plastic by the trained model so as to improve the accuracy of the second plastic molding scheme.
In one embodiment, before the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-acquired first plastic molding prediction model to perform a plastic molding scheme generating operation to obtain a second plastic molding scheme, the method further includes:
obtaining product information of various products requiring plastic molding at present;
the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-obtained first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme comprises the following steps:
inputting the first plastic molding scheme, the current residual quantity of plastic and product information into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation, so as to obtain a second plastic molding scheme;
wherein the first plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, and the second plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, the second plastic molding scheme producing a lower total amount of scrap for the plurality of products than the first plastic molding scheme produces for the plurality of products.
Wherein the plurality of products comprises at least two of:
film, sheet, plate, tube, bar, packaging box, battery box and electronic product shell;
the communication interface is connected with at least one plastic molding machine, wherein the same plastic molding machine corresponds to one or more products, the same products of plastic are allowed among different plastic molding machines, and any plastic molding machine adopts at least one plastic molding process as follows:
calendering, casting, extrusion molding, injection molding, blow molding and compression molding.
In this embodiment, it is possible to realize that the plastic molding scheme including each product is predicted by the first plastic molding prediction model in the case where a plurality of products are simultaneously required to be produced, and the total amount of waste generated by the plurality of products can be reduced.
In one embodiment, after the step of inputting the first plastic molding scheme, the current residual amount of plastic and the product information into a pre-acquired first plastic molding prediction model to perform the plastic molding scheme generating operation to obtain the second plastic molding scheme, as shown in fig. 3, the method further includes:
204. when the plurality of products are changed, obtaining changed product information, wherein the change comprises at least one of the following steps: increasing the product category, decreasing the product category, increasing the at least one product quantity, decreasing the at least one product quantity;
205. inputting the changed product information and the current latest plastic residual quantity into a pre-acquired second plastic molding prediction model to perform plastic molding scheme generation operation to obtain a third plastic molding scheme, wherein the third plastic molding scheme comprises the plastic molding scheme of each product after the change;
206. and the third plastic molding scheme is given to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the third plastic molding scheme.
The second plastic molding prediction model is trained in advance, and is mainly used for temporarily changing product type demand information in the production process so as to quickly generate a third plastic molding scheme meeting current demand information through the model. Because the input of the model only comprises the changed product information and the current latest plastic residual quantity, and another plastic molding scheme is not needed, the generation efficiency of the plastic molding scheme can be improved, and the current changed product requirement can be rapidly and timely met.
In an embodiment of the present application, the main control device includes a processor, a user interface, and a communication interface, where the processor is connected to the user interface, the communication interface is connected to the processor, and the communication interface is further connected to the plastic molding machine in a communication manner, where the processor is configured to perform a plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme, and transmit the plastic molding scheme to the communication interface, and the user interface is configured to exchange with a user to obtain information content input by the user, and transmit the information content to the processor, and the method includes: acquiring a first plastic molding scheme and the current residual quantity of plastic, wherein the first plastic molding scheme is acquired through the user interface; inputting the first plastic molding scheme and the current residual quantity of the plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, and the second plastic molding scheme is generated by the processor; and sending the second plastic molding scheme to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme. Thus, performing the plastic molding process according to the second plastic molding scheme may reduce the amount of scrap material generation.
Fig. 4 is a schematic diagram of a plastic molding system provided by an embodiment of the present application, as shown in fig. 4, including a main control device 401 and a plastic molding machine 402, where the main control device 401 includes a processor, a user interface and a communication interface, the processor is connected to the user interface, the communication interface is connected to the processor, and the communication interface is further connected to the plastic molding machine in a communication manner, where the processor is configured to perform a plastic molding scheme generating operation through a plastic molding prediction model to generate a plastic molding scheme, and transmit the plastic molding scheme to the communication interface, and the user interface is configured to exchange with a user to obtain information content input by the user, and transmit the information content to the processor;
the main control device 401 is configured to obtain a first plastic molding scheme and a current remaining amount of plastic;
the main control device 401 is further configured to input the first plastic molding scheme and the current remaining amount of plastic into a first pre-acquired plastic molding prediction model to perform a plastic molding scheme generating operation, so as to obtain a second plastic molding scheme, where the amount of waste generated by the second plastic molding scheme is lower than that of waste generated by the first plastic molding scheme;
the main control device 401 is further configured to send the second plastic molding scheme to the plastic molding machine through the communication interface;
the plastic molding machine 402 is configured to perform a plastic molding process according to the second plastic molding scheme.
In one embodiment, the first plastic molding prediction model includes: the first operation module is used for inputting the first plastic molding scheme and the current residual quantity of the plastic into the prediction module of the first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme;
the main control equipment is also used for outputting updated current residual quantity of plastic to the prediction module according to the second plastic molding scheme through the rewarding module of the first plastic molding prediction model and rewarding information aiming at the second plastic molding scheme; and learning and updating the prediction module based on the reward information.
In one embodiment, the first plastic molding scheme includes:
the main control device 401 is further configured to receive a scheme editing operation input by a user, and generate a first plastic molding scheme in response to the scheme editing operation.
In one embodiment, before the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-acquired first plastic molding prediction model to perform a plastic molding scheme generating operation to obtain a second plastic molding scheme, the method further includes:
the main control device 401 is further configured to obtain a plurality of plastic amount data samples and a plurality of plastic molding scheme sample information, where the plastic molding scheme sample information corresponds to the plurality of plastic amount data samples one by one, and each plastic molding scheme sample information is further labeled with waste amount labeling information;
the main control device 401 is further configured to train the plurality of plastic amount data samples and the plurality of plastic molding scheme sample information on a preset initial model to obtain the first plastic molding prediction model.
In one embodiment, each of the plastic molding scheme sample information includes: a first plastic molding scheme sample and a second plastic molding scheme sample, wherein the first plastic molding scheme sample produces a lower amount of scrap than the second plastic molding scheme sample.
In one embodiment, before the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-acquired first plastic molding prediction model to perform a plastic molding scheme generating operation to obtain a second plastic molding scheme, the method further includes:
the main control device 401 is further configured to obtain product information of a plurality of products that currently need plastic molding;
the main control device 401 is further configured to input the first plastic molding scheme, the current remaining amount of plastic, and product information to a first pre-acquired plastic molding prediction model to perform a plastic molding scheme generating operation, so as to obtain a second plastic molding scheme;
wherein the first plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, and the second plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, the second plastic molding scheme producing a lower total amount of scrap for the plurality of products than the first plastic molding scheme produces for the plurality of products.
In one embodiment, the plurality of products comprises at least two of:
film, sheet, plate, tube, bar, packaging box, battery box and electronic product shell;
the communication interface is connected with at least one plastic molding machine, wherein the same plastic molding machine corresponds to one or more products, the same products of plastic are allowed among different plastic molding machines, and any plastic molding machine adopts at least one plastic molding process as follows:
calendering, casting, extrusion molding, injection molding, blow molding and compression molding.
In one embodiment, the master control device 401 is further configured to obtain, when the multiple products are changed, changed product information, where the change includes at least one of the following: increasing the product category, decreasing the product category, increasing the at least one product quantity, decreasing the at least one product quantity;
the main control device 401 is further configured to input the changed product information and the current latest plastic residual amount to a second plastic molding prediction model obtained in advance to perform a plastic molding scheme generating operation, so as to obtain a third plastic molding scheme, where the third plastic molding scheme includes a plastic molding scheme of each product after the change;
the master control device 401 is further configured to send the third plastic molding scheme to the plastic molding machine through the communication interface, so as to control the plastic molding machine to execute a plastic molding process according to the third plastic molding scheme.
In the several embodiments provided in the present application, it should be understood that the disclosed methods and apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
While the foregoing is directed to the preferred embodiments of the present application, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.
Claims (6)
1. A plastic molding method applied to a main control device, wherein the main control device comprises a processor, a user interface and a communication interface, the processor is connected with the user interface, the communication interface is connected with the processor, the communication interface is also connected with a plastic molding machine in a communication way, the processor is used for carrying out plastic molding scheme generating operation through a plastic molding prediction model so as to generate a plastic molding scheme and transmitting the plastic molding scheme to the communication interface, and the user interface is used for exchanging with a user so as to acquire information content input by the user and transmitting the information content to the processor, and the method comprises the following steps:
obtaining a first plastic molding scheme and a current residual amount of plastic, wherein the first plastic molding scheme is obtained through the user interface, and the first plastic molding scheme comprises: plastic molding products, models, numbers, plastic molding processes, plastic molding machines used for plastic molding and plastic molding time;
inputting the first plastic molding scheme and the current residual amount of plastic into a pre-obtained first plastic molding prediction model for plastic molding scheme generation operation to obtain a second plastic molding scheme, wherein the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, the second plastic molding scheme is generated by the processor, the first plastic molding prediction model is a reinforcement learning model, and the second plastic molding scheme comprises: the plastic molding product, model, quantity, plastic molding process, plastic molding machine and plastic molding time adopted by plastic molding, wherein the second plastic molding scheme is different from the first plastic molding scheme in at least one of the following: plastic molding products, models, numbers, plastic molding processes, plastic molding machines used for plastic molding and plastic molding time;
the second plastic molding scheme is sent to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the second plastic molding scheme;
before the step of inputting the first plastic molding scheme and the current residual amount of plastic into the pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain the second plastic molding scheme, the method further comprises the following steps:
obtaining product information of various products requiring plastic molding at present;
the step of inputting the first plastic molding scheme and the current residual amount of plastic into a pre-obtained first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme comprises the following steps:
inputting the first plastic molding scheme, the current residual quantity of plastic and product information into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation, so as to obtain a second plastic molding scheme;
wherein the first plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, and the second plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, the second plastic molding scheme producing a lower total amount of scrap for the plurality of products than the first plastic molding scheme produces for the plurality of products;
the plurality of products includes at least two of:
film, sheet, plate, tube, bar, packaging box, battery box and electronic product shell;
the communication interface is connected with at least one plastic molding machine, wherein the same plastic molding machine corresponds to one product, the same products of plastics are allowed among different plastic molding machines, and any plastic molding machine adopts at least one plastic molding process as follows:
calendering, casting, extrusion molding, injection molding, blow molding and compression molding;
before the step of inputting the first plastic molding scheme and the current residual amount of plastic into the pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain the second plastic molding scheme, the method further comprises the following steps:
the method comprises the steps of obtaining a plurality of plastic quantity data samples and a plurality of plastic molding scheme sample information, wherein the plastic molding scheme sample information corresponds to the plastic quantity data samples one by one, each plastic molding scheme sample information is further marked with waste quantity marking information, and the plastic molding scheme sample information is further marked with environment information and equipment information, wherein the environment information comprises: air humidity and air temperature, equipment information including performance parameters, aging degree, yield and failure rate of the plastic molding machine;
training the preset initial model by the plastic quantity data samples and the plastic molding scheme sample information to obtain the first plastic molding prediction model.
2. The method of claim 1, wherein after the step of inputting the first plastic molding scheme, the current remaining amount of plastic and the product information into a pre-acquired first plastic molding prediction model to perform a plastic molding scheme generating operation to obtain a second plastic molding scheme, the method further comprises:
when the plurality of products are changed, obtaining changed product information, wherein the change comprises at least one of the following steps: increasing the product category, decreasing the product category, increasing the at least one product quantity, decreasing the at least one product quantity;
inputting the changed product information and the current latest plastic residual quantity into a pre-acquired second plastic molding prediction model to perform plastic molding scheme generation operation to obtain a third plastic molding scheme, wherein the third plastic molding scheme comprises the plastic molding scheme of each product after the change;
and the third plastic molding scheme is given to the plastic molding machine through the communication interface so as to control the plastic molding machine to execute a plastic molding process according to the third plastic molding scheme.
3. The method of any one of claims 1 to 2, wherein the first plastic molding prediction model comprises: the prediction module and the rewarding module are used for inputting the first plastic molding scheme and the current residual quantity of the plastic into a first plastic molding prediction model obtained in advance to perform plastic molding scheme generation operation, and the step of obtaining a second plastic molding scheme comprises the following steps:
inputting the first plastic molding scheme and the current residual quantity of the plastic into the prediction module of the first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme;
the method further comprises the steps of:
outputting updated current residual quantity of plastic to the prediction module according to the second plastic molding scheme by the rewarding module of the first plastic molding prediction model, and rewarding information aiming at the second plastic molding scheme;
and learning and updating the prediction module based on the rewarding information.
4. The method of claim 1, wherein each of the plastic molding scheme sample information comprises: a first plastic molding scheme sample and a second plastic molding scheme sample, wherein the first plastic molding scheme sample produces a lower amount of scrap than the second plastic molding scheme sample.
5. The method according to any one of claims 1 to 2, wherein the first plastic molding scheme comprises:
and receiving a scheme editing operation input by a user, and responding to a first plastic molding scheme generated by the scheme editing operation.
6. The plastic molding system is characterized by comprising a main control device and a plastic molding machine, wherein the main control device comprises a processor, a user interface and a communication interface, the processor is connected with the user interface, the communication interface is connected with the processor, the communication interface is also connected with the plastic molding machine in a communication way, the processor is used for carrying out plastic molding scheme generating operation through a plastic molding prediction model so as to generate a plastic molding scheme and transmitting the plastic molding scheme to the communication interface, and the user interface is used for exchanging with a user so as to acquire information content input by the user and transmitting the information content to the processor;
the main control equipment is used for obtaining a first plastic molding scheme and the current residual quantity of plastic, and the first plastic molding scheme comprises: plastic molding products, models, numbers, plastic molding processes, plastic molding machines used for plastic molding and plastic molding time;
the main control equipment is also used for inputting the first plastic molding scheme and the current residual quantity of plastic into a pre-acquired first plastic molding prediction model to perform plastic molding scheme generation operation to obtain a second plastic molding scheme, the amount of waste generated by the second plastic molding scheme is lower than that of the first plastic molding scheme, the first plastic molding prediction model is a reinforcement learning model, and the second plastic molding scheme comprises: the plastic molding product, model, quantity, plastic molding process, plastic molding machine and plastic molding time adopted by plastic molding, wherein the second plastic molding scheme is different from the first plastic molding scheme in at least one of the following: plastic molding products, models, numbers, plastic molding processes, plastic molding machines used for plastic molding and plastic molding time;
the main control equipment is also used for sending the second plastic molding scheme to the plastic molding machine through the communication interface;
the plastic molding machine is used for executing a plastic molding process according to the second plastic molding scheme;
the main control equipment is also used for acquiring product information of various products which are required to be molded by plastics at present;
the main control equipment is also used for inputting the first plastic molding scheme, the current residual quantity of the plastic and the product information into a first pre-acquired plastic molding prediction model to perform plastic molding scheme generation operation, so as to obtain a second plastic molding scheme;
wherein the first plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, and the second plastic molding scheme comprises a plastic molding scheme for each of the plurality of products, the second plastic molding scheme producing a lower total amount of scrap for the plurality of products than the first plastic molding scheme produces for the plurality of products;
the plurality of products includes at least two of:
film, sheet, plate, tube, bar, packaging box, battery box and electronic product shell;
the communication interface is connected with at least one plastic molding machine, wherein the same plastic molding machine corresponds to one product, the same products of plastics are allowed among different plastic molding machines, and any plastic molding machine adopts at least one plastic molding process as follows:
calendering, casting, extrusion molding, injection molding, blow molding and compression molding;
the first plastic molding prediction model is obtained through training in the following mode:
the method comprises the steps of obtaining a plurality of plastic quantity data samples and a plurality of plastic molding scheme sample information, wherein the plastic molding scheme sample information corresponds to the plastic quantity data samples one by one, each plastic molding scheme sample information is further marked with waste quantity marking information, and the plastic molding scheme sample information is further marked with environment information and equipment information, wherein the environment information comprises: air humidity and air temperature, equipment information including performance parameters, aging degree, yield and failure rate of the plastic molding machine;
training the preset initial model by the plastic quantity data samples and the plastic molding scheme sample information to obtain the first plastic molding prediction model.
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