Automatic feeding system

Abstract

The invention discloses an automatic feeding system, which belongs to the technical field of automatic feeding, and comprises a positive pressure blowing module, a centralized feeding module, a weighing, metering and proportioning module, a weightlessness feeding and conveying module and a feeding man-machine interaction module, plastic raw materials are blown through the positive pressure blowing equipment; the plastic raw materials are primarily treated through centralized feeding equipment; according to a preset weighing, metering, proportioning and mixing scheme, the plastic raw materials are classified and weighed, metered, proportioned and mixed through weighing, metering and proportioning equipment; conveying the mixed and proportioned plastic raw materials to first target production and processing equipment through weightlessness feeding and conveying equipment; parameters of the positive-pressure blowing module, the concentrated feeding module, the weighing, metering and proportioning module and the weightlessness feeding and conveying module are set through the feeding man-machine interaction equipment; therefore, the real-time diversity accuracy of plastic material feeding is improved, and the problem that in the prior art, the real-time diversity accuracy of plastic material feeding is difficult to effectively improve is solved.

Description

Technical Field

[0001] The invention relates to the technical field of automatic feeding, and in particular to an automatic feeding system. Background Art

[0002] With the continuous improvement of industrialization and automation, automatic feeding systems are being used more and more widely in the manufacturing industry. Industrial automation and intelligent upgrading have become an important way to promote the high-quality development of the manufacturing industry. Automatic feeding systems can improve production efficiency, reduce labor costs, and improve product quality, which is closely linked to the needs of social development.

[0003] Existing automatic feeding system technologies include various automation equipment and algorithms, such as: using various sensors to monitor and control the feeding process, using actuator technology to achieve the transportation, positioning and distribution of raw materials, and using PLC, PAC or embedded systems for process control monitoring.

[0004] For example, the patent application with publication number: CN115829223A discloses an automated injection molding production scheduling system and method thereof, including: an order import system, a raw material accounting system, a production system, and a cloud data repository. The order import system, the raw material accounting system, and the production system are all interactively connected with the cloud data repository. The order import system imports order information, which includes product quantity, material, unit quality, mold number, equipment number, delivery time, and product injection molding rhythm. The raw material accounting system includes raw material model, raw material quality, raw material processing technology, and equipment number. The production system includes an injection molding machine, an injection molding machine control unit, a mold changing system, and a raw material storage system. The status of the injection molding machine is obtained in real time, and the order progress is matched to make a more efficient production plan arrangement.

[0005] For example, the patent application with publication number: CN114912876A discloses a method, device, equipment and storage medium for requesting materials for a production line in the injection molding industry, including: if the material inventory quantity of the current temporary storage location is lower than the safety inventory quantity, the MES system sends a call message to the WMS system, and the call information includes the temporary storage location number and material information; based on the material information, the WMS system controls the AGV car to deliver materials to the temporary storage location corresponding to the temporary storage location number, and sends the dispatched material information to the MES system; the MES system updates the material information of the temporary storage location based on the dispatched material information.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, since the automatic feeding system may not be able to adapt to all types of plastic particles, especially particles of special materials, considering the diversity of plastic materials and the fact that large errors are prone to occur when mixing a large number of various plastic materials in complex production, it is difficult to effectively improve the real-time diversity and accuracy of plastic material feeding. Summary of the invention

[0008] The embodiment of the present application solves the problem in the prior art that it is difficult to effectively improve the real-time, diverse and accurate feeding of plastic materials by providing an automatic feeding system, thereby achieving the effect of improving the real-time, diverse and accurate feeding of plastic materials.

[0009] The embodiment of the present application provides an automatic feeding system, including: a positive pressure blowing module, a centralized feeding module, a weighing and metering proportioning module, a loss-in-weight feeding and conveying module and a feeding human-computer interaction module: the positive pressure blowing module is used to positively blow the plastic raw materials from the first target storage area to the first target production area through a positive pressure blowing device; the centralized feeding module is used to perform preliminary processing on the plastic raw materials in the first target production area through a centralized feeding device, and convey them to the first target production area silo; the weighing and metering proportioning module is used to classify and weigh and meter the plastic raw materials according to a preset weighing and metering proportioning mixing scheme through a weighing and metering proportioning device to obtain a mixed proportion plastic raw material; the loss-in-weight feeding and conveying module is used to convey the mixed proportion plastic raw materials to the first target production and processing equipment through a loss-in-weight feeding and conveying device; the feeding human-computer interaction module is used to set parameters of the positive pressure blowing module, the centralized feeding module, the weighing and metering proportioning module and the loss-in-weight feeding and conveying module through the feeding human-computer interaction device.

[0010] Furthermore, the positive pressure blowing module includes a positive pressure blowing monitoring unit, a positive pressure blowing evaluation unit, a positive pressure blowing delivery unit and a positive pressure blowing control unit: the positive pressure blowing monitoring unit is used to monitor the positive pressure blowing detection parameters in real time during the positive pressure blowing process; the positive pressure blowing evaluation unit is used to evaluate the positive pressure blowing detection parameters, analyze and obtain the positive pressure blowing pressure correction value, and analyze and obtain the positive pressure blowing detection quality level value in combination with the positive pressure blowing pressure correction value, and the positive pressure blowing pressure correction value is used to evaluate the positive pressure blowing module to positively blow the plastic raw materials from the first target storage area through the positive pressure blowing equipment. The positive pressure blowing detection quality level correction value of the plastic raw materials sent to the first target production area by positive pressure blowing, the positive pressure blowing detection quality level value is used to evaluate the comprehensive blowing quality level of the positive pressure blowing module in which the plastic raw materials are positively pressure blown from the first target storage area to the first target production area through the positive pressure blowing equipment; the positive pressure blowing conveying unit is used to positively pressure blow the plastic raw materials from the first target storage area to the first target production area through the positive pressure blowing equipment according to the positive pressure blowing conveying scheme; the positive pressure blowing control unit is used to adjust the positive pressure blowing conveying scheme according to the positive pressure blowing detection quality level value.

[0011] Furthermore, the specific process of analyzing and obtaining the positive pressure blowing pressure correction value is: collecting the positive pressure blowing detection parameters in the positive pressure blowing process through the positive pressure blowing monitoring unit, performing data cleaning, data feature extraction and data normalization on the positive pressure blowing detection parameters to obtain the positive pressure blowing statistical characteristic values, constructing a regression analysis model through statistical analysis, training the regression analysis model according to the positive pressure blowing statistical characteristic values, and obtaining the positive pressure blowing pressure correction value through analysis and evaluation of the regression analysis model.

[0012] Furthermore, the centralized feeding module includes a centralized feeding primary processing unit, a centralized feeding conveying unit and a centralized feeding control unit: the centralized feeding primary processing unit is used to clean, dry, crush and screen the plastic raw materials in the first target production area through centralized feeding equipment to obtain primary processed plastic raw materials; the centralized feeding conveying unit is used to convey the primary processed plastic raw materials to the silo in the first target production area through the centralized feeding equipment; the centralized feeding control unit is used to control the centralized feeding plastic raw material speed and the centralized feeding plastic raw material flow rate through the centralized feeding equipment.

[0013] Furthermore, the weighing and metering proportioning module includes a weighing and metering proportioning feature classification unit and a weighing and metering proportioning mixing unit: the weighing and metering proportioning module is used to classify the plastic raw materials and weigh and meter the plastic raw materials according to a preset weighing and metering proportioning mixing scheme through a weighing and metering proportioning device to obtain a mixed proportion plastic raw material; the feature classification unit is used to divide the first target feature of the plastic raw material according to the plastic raw material proportioning scheme in the preset weighing and metering proportioning mixing scheme, construct a plastic raw material support vector machine model according to the first target feature of the plastic raw material, obtain a plastic raw material melting feature correction value through the plastic raw material support vector machine model analysis, and obtain a plastic raw material melting feature correction value through the analysis of the plastic raw material melting feature correction value. to the first target characteristic value of the plastic raw material, the first target characteristic value of the plastic raw material is used to refer to the comprehensive evaluation characteristic performance level of various characteristics of the plastic raw material obtained by analyzing the plastic raw material through the plastic raw material support vector machine model, the plastic raw material melting characteristic correction value is used to describe the correction value of the plastic raw material melting characteristic for the comprehensive evaluation characteristic performance level of various characteristics of the plastic raw material; the plastic raw materials are classified according to the first target characteristic value of the plastic raw material to obtain the classification result of the plastic raw material; the weighing, metering, proportioning and mixing unit is used to weigh, meter, proportion and mix different types of plastic raw materials according to the plastic raw material classification result through a preset weighing, metering, proportioning and mixing scheme to obtain a mixed proportion plastic raw material.

[0014] Furthermore, the specific process of constructing the plastic raw material support vector machine model according to the first target feature of the plastic raw material is: collecting the original data of the plastic raw material in the actual centralized feeding production of the automatic feeding system, performing data preprocessing on the original data of the plastic raw material, and obtaining the preprocessed data of the plastic raw material; dividing the plastic raw material characteristic data according to the plastic raw material ratio scheme in the preset weighing and metering ratio mixing scheme to obtain the first target feature of the plastic raw material; performing data feature labeling on the plastic raw material preprocessing data according to the first target feature of the plastic raw material through a supervised learning method to obtain the labeled feature data of the plastic raw material; training the original support vector machine model through the labeled feature data of the plastic raw material, selecting the penalty parameters and the kernel function parameters through cross-validation and adjusting the weights in the original support vector machine model, and obtaining the support vector machine model of the plastic raw material.

[0015] Furthermore, the loss-in-weight feeding and conveying module includes a loss-in-weight feeding monitoring unit, a loss-in-weight feeding and conveying unit and a loss-in-weight feeding control unit: the loss-in-weight feeding monitoring unit is used to monitor the operating parameters in the loss-in-weight feeding process in real time through the loss-in-weight feeding and conveying equipment; the loss-in-weight feeding and conveying unit is used to convey the mixed plastic raw materials and recycled plastic raw materials to the first target production and processing equipment on the production line through the loss-in-weight feeding and conveying equipment; the loss-in-weight feeding control unit is used to evaluate and analyze the proportion parameters of the recycled plastic raw materials in the recycled plastic raw materials, and adjust the preset weighing and metering proportioning mixing scheme of the weighing and metering proportioning mixing unit accordingly.

[0016] Furthermore, the feeding human-computer interaction module includes: a feeding comprehensive evaluation unit, a feeding interaction unit, a feeding control unit and a feeding display unit: the feeding comprehensive evaluation unit is used to obtain a material feeding diversity and accurate quality level value by comprehensive evaluation and analysis based on the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material, and the material feeding diversity and accurate quality level value is used to refer to the automatic feeding system's evaluation level of the plastic raw material feeding diversity and accurate quality; the material feeding diversity and accurate quality level value is compared with a preset material feeding diversity and accurate quality threshold, and the comparative analysis difference result is obtained by analysis; The material feeding interaction unit is used to set the first target storage area, set the first target production area, set the first target production area silo, set the positive pressure blowing and conveying scheme, and set the preset weighing and metering ratio mixing scheme; the material feeding control unit is used to control the positive pressure blowing and conveying scheme and the preset weighing and metering ratio mixing scheme according to the comparison and analysis difference results; the material feeding display unit is used to display the first target storage area, the first target production area, the first target production area silo, the positive pressure blowing and conveying scheme, the preset weighing and metering ratio mixing scheme, and the preset weighing and metering ratio mixing scheme.

[0017] Furthermore, the specific process of obtaining the material feeding diversity and accuracy quality level value by comprehensive evaluation and analysis based on the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material is as follows: obtaining the positive pressure blowing detection parameters through the positive pressure blowing monitoring unit, and obtaining the first target characteristic of the plastic raw material through the characteristic classification unit; listing the positive pressure blowing detection parameters and the first target characteristic of the plastic raw material as scheme layer elements, and constructing a scheme layer feeding pairwise comparison matrix; using a predefined scaling method to set the relative importance score of the elements in the scheme layer feeding pairwise comparison matrix; extracting the material feeding diversity and accuracy related parameters through the material feeding diversity and accuracy database, and taking the material feeding diversity and accuracy related parameters as the elements in the highest layer; obtaining the relative weight of the scheme layer elements relative to the elements in the highest layer by solving the maximum eigenvalue and the corresponding eigenvector of the scheme layer feeding pairwise comparison matrix, thereby analyzing and obtaining the weight factor of the material feeding diversity and accuracy quality level value corresponding to the positive pressure blowing detection quality level value and the weight factor of the material feeding diversity and accuracy quality level value corresponding to the first target characteristic value of the plastic raw material, and obtaining the material feeding diversity and accuracy quality level value by combining the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material.

[0018] Furthermore, the specific constraint formula for the material feed diversity and accurate quality level value is:

[0019]

[0020] In the formula, χ represents the material feeding diversity and accurate quality level value, β represents the positive pressure blowing detection quality level value, θ represents the first target characteristic value of the plastic raw material, ψ1 represents the weight factor of the positive pressure blowing detection quality level value corresponding to the material feeding diversity and accurate quality level value, ψ2 represents the weight factor of the plastic raw material first target characteristic value corresponding to the material feeding diversity and accurate quality level value, and e represents a natural constant.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. Blow plastic raw materials through positive pressure blowing equipment; preliminarily process plastic raw materials through centralized feeding equipment; classify plastic raw materials and mix them by weighing and measuring proportions through weighing and measuring proportioning equipment according to a preset weighing and metering proportioning mixing scheme; convey the mixed proportioned plastic raw materials to the first target production and processing equipment through loss-in-weight feeding and conveying equipment; set parameters of positive pressure blowing module, centralized feeding module, weighing and metering proportioning module and loss-in-weight feeding and conveying module through feeding human-computer interaction equipment; thereby improve the real-time and diverse accuracy of plastic material feeding, and solve the problem in the prior art that it is difficult to effectively improve the real-time and diverse accuracy of plastic material feeding.

[0023] 2. The positive pressure blowing module uses positive pressure blowing equipment to positively blow the plastic raw materials from the first target storage area to the first target production area. The positive pressure blowing evaluation unit evaluates the positive pressure blowing detection parameters, analyzes and obtains the positive pressure blowing pressure correction value, thereby utilizing the advantages of data analysis. Through the calculation of statistical eigenvalues ​​and the training of regression analysis models, the blowing pressure can be continuously optimized, thereby improving the efficiency and accuracy of the automatic feeding system.

[0024] 3. Through the weighing and metering proportioning module, the plastic raw materials are classified and mixed according to the preset weighing and metering proportioning mixing scheme through the weighing and metering proportioning equipment. The feature classification unit uses the support vector machine model to accurately classify the plastic raw materials, so as to correctly identify and separate different plastic raw materials in the production process, produce diversified products, and thus realize the material diversity of the automatic feeding system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A schematic diagram of the structure of the automatic feeding system provided in the embodiment of the present application;

[0026] Figure 2 A schematic diagram of the structure of a positive pressure blowing module in an automatic feeding system provided in an embodiment of the present application;

[0027] Figure 3 This is a schematic diagram of the structure of the feeding human-computer interaction module in the automatic feeding system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application solves the problem in the prior art that it is difficult to effectively improve the real-time and diverse accuracy of plastic material feeding by providing an automatic feeding system. Through positive pressure blowing evaluation control and weighing metering ratio analysis and adjustment, the purpose of improving the real-time and diverse accuracy of plastic material feeding is achieved.

[0029] The technical solution in the embodiment of the present application is to solve the above-mentioned problem that it is difficult to effectively improve the real-time and diverse accuracy of plastic material feeding. The overall idea is as follows:

[0030] The positive pressure blowing delivery scheme is adjusted by adjusting the positive pressure blowing detection quality level value obtained by analysis of the positive pressure blowing evaluation unit, and different types of plastic raw materials are weighed, metered, and mixed according to the plastic raw material classification results through a preset weighing, metering, and mixing scheme to obtain mixed proportioned plastic raw materials and transport them to the first target production and processing equipment, thereby achieving the effect of improving the real-time, diverse, and accurate feeding of plastic materials.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, it is a structural schematic diagram of the automatic feeding system provided in the embodiment of the present application. The automatic feeding system provided in the embodiment of the present application includes a positive pressure blowing module, a centralized feeding module, a weighing and metering proportioning module, a loss-in-weight feeding and conveying module and a feeding human-computer interaction module: the positive pressure blowing module is used to positively blow the plastic raw materials from the first target storage area to the first target production area through a positive pressure blowing device; the centralized feeding module is used to perform preliminary processing on the plastic raw materials in the first target production area through a centralized feeding device, and convey them to the first target production area silo; the weighing and metering proportioning module is used to classify the plastic raw materials and weigh and meter the plastic raw materials according to a preset weighing and metering proportioning mixing scheme through a weighing and metering proportioning device to obtain a mixed proportion plastic raw material; the loss-in-weight feeding and conveying module is used to convey the mixed proportion plastic raw materials to the first target production and processing equipment through a loss-in-weight feeding and conveying device; the feeding human-computer interaction module is used to set the parameters of the positive pressure blowing module, the centralized feeding module, the weighing and metering proportioning module and the loss-in-weight feeding and conveying module through the feeding human-computer interaction device.

[0033] Furthermore, the positive pressure blowing module includes a positive pressure blowing monitoring unit, a positive pressure blowing evaluation unit, a positive pressure blowing conveying unit and a positive pressure blowing control unit: the positive pressure blowing monitoring unit: used for real-time monitoring of the positive pressure blowing detection parameters during the positive pressure blowing process; the positive pressure blowing evaluation unit: used for evaluating the positive pressure blowing detection parameters, analyzing to obtain a positive pressure blowing pressure correction value, combining the positive pressure blowing pressure correction value to analyze to obtain a positive pressure blowing detection quality level value, the positive pressure blowing pressure correction value is used to evaluate the positive pressure blowing module through the positive pressure blowing equipment to positively pressure the plastic raw materials from the first target storage area The positive pressure blowing plastic raw material quality level correction value blown to the first target production area and the positive pressure blowing detection quality level value are used to evaluate the comprehensive blowing quality level of the positive pressure blowing module in which the plastic raw materials are positively pressure blown from the first target storage area to the first target production area through the positive pressure blowing equipment; the positive pressure blowing conveying unit is used to positively pressure blow the plastic raw materials from the first target storage area to the first target production area through the positive pressure blowing equipment according to the positive pressure blowing conveying plan; the positive pressure blowing control unit is used to adjust the positive pressure blowing conveying plan according to the positive pressure blowing detection quality level value.

[0034] In this embodiment, if Figure 2 As shown, it is a structural schematic diagram of the positive pressure blowing module in the automatic feeding system provided in the embodiment of the present application. In addition to being analyzed by the positive pressure difference accumulation method and the pressure vacuum leak detection method, the positive pressure blowing detection quality level value can also be obtained by a calculation formula. The specific calculation formula is as follows:

[0035]

[0036] In the formula, β represents the quality level of positive pressure blowing detection, and positive pressure blowing production monitoring points are set, and the positive pressure blowing production monitoring points are numbered in sequence, A0=1, 2, ..., A, A0 represents the number of positive pressure blowing production monitoring points, A represents the total number of positive pressure blowing production monitoring points, It indicates the power value of the positive pressure blowing feed pump at the A0th positive pressure blowing production monitoring point. Indicates the reading value of the positive pressure blowing flowmeter at the A0th positive pressure blowing production monitoring point, L Y It represents the preset standard flow value of positive pressure blowing, α1 represents the weight factor of the power value of the positive pressure blowing feed pump corresponding to the positive pressure blowing detection quality level value, α2 represents the weight factor of the reading value of the positive pressure blowing flowmeter corresponding to the positive pressure blowing detection quality level value, set the positive pressure blowing material quality monitoring point, and number the positive pressure blowing material quality monitoring points in sequence, E0=1,2,...,E, E0 represents the number of the positive pressure blowing material quality monitoring point, E represents the total number of the positive pressure blowing material quality monitoring points, It indicates the quality of positive pressure conveying raw materials at the E0th positive pressure blowing material quality monitoring point. It represents the positive pressure suction raw material quality of the E0th positive pressure blowing material quality monitoring point, and δ represents the positive pressure blowing pressure correction value.

[0037] Use a power meter to measure the power of the positive pressure blowing feed pump to obtain the power value of the positive pressure blowing feed pump; use a flow meter to measure the volume or mass of the fluid flow to obtain the reading value of the positive pressure blowing flow meter; use a mass flow meter to directly measure the fluid mass flow rate to obtain the positive pressure conveying raw material mass and the positive pressure suction raw material mass.

[0038] The function graph of the positive pressure blowing detection quality level value is made steeper, which is convenient for observing the changing trend of the positive pressure blowing detection quality level and the data processing effect is more obvious.

[0039] The preset standard flow value of positive pressure blowing represents the average flow value of plastic raw materials in actual production; the positive pressure blowing conveying scheme includes setting the optimal path of the raw materials from the starting point to the end point, such as the position and layout of elbows, pipes, valves and other conveying components, setting the blowing pressure of the production line, and setting and adjusting the air flow during the blowing process; the positive pressure blowing quality level is obtained by analyzing the positive pressure blowing detection quality level value, and the factors corresponding to all the data in the formula are traversed in turn, and the positive pressure blowing conveying scheme is adjusted accordingly.

[0040] Furthermore, the specific process of analyzing and obtaining the positive pressure blowing pressure correction value is as follows: the positive pressure blowing detection parameters in the positive pressure blowing process are collected through the positive pressure blowing monitoring unit, the positive pressure blowing detection parameters are cleaned, data features are extracted and data normalized to obtain the positive pressure blowing statistical characteristic values, a regression analysis model is constructed through statistical analysis, the regression analysis model is trained according to the positive pressure blowing statistical characteristic values, and the positive pressure blowing pressure correction value is obtained through analysis and evaluation of the regression analysis model.

[0041] In this embodiment, the positive pressure blowing pressure correction value can be obtained by analyzing the positive pressure difference accumulation method and the pressure vacuum leak detection method, or by a calculation formula. The specific calculation formula is as follows:

[0042]

[0043] In the formula, δ represents the correction value of the positive pressure blowing pressure, and the positive pressure blowing pressure monitoring points are set, and the positive pressure blowing pressure monitoring points are numbered in sequence, C0 = 1, 2, ..., C, C0 represents the number of the positive pressure blowing pressure monitoring point, C represents the total number of the positive pressure blowing pressure monitoring points, It represents the peak value of the positive pressure blowing pressure fluctuation at the C0th positive pressure blowing pressure monitoring point. It indicates the positive pressure blowing pressure fluctuation trough value of the C0th positive pressure blowing pressure monitoring point. Indicates the positive pressure blowing rate value of the C0th positive pressure blowing pressure monitoring point, VY Indicates the preset standard rate value of positive pressure blowing.

[0044] Pressure sensor: used to measure the real-time pressure changes during positive pressure blowing. These sensors can be plug-in, clamp-on or wireless, and are installed at key locations in the feeding system as needed to measure the peak value and trough value of positive pressure blowing pressure fluctuations.

[0045] Flow meter: used to measure the flow rate of fluid, so as to obtain the positive pressure blowing rate value. The flow meter can be a volume flow meter or a mass flow meter.

[0046] The positive pressure blowing pressure correction value makes the positive pressure blowing evaluation unit evaluate the positive pressure blowing detection parameters more accurately. The use of hyperbolic tangent function evaluation makes the function graph of the positive pressure blowing detection quality level value more concentrated, which is convenient for observing the changing trend of the positive pressure blowing detection quality level and the data processing effect is more obvious.

[0047] The preset standard rate value of positive pressure blowing includes the standard rate value of positive pressure blowing set by the feeding human-machine interaction module and the positive pressure blowing rate value corresponding to the rated power in the automation control.

[0048] Furthermore, the centralized feeding module includes a centralized feeding primary processing unit, a centralized feeding conveying unit and a centralized feeding control unit: the centralized feeding primary processing unit is used to clean, dry, crush and screen the plastic raw materials in the first target production area through centralized feeding equipment to obtain primary processed plastic raw materials; the centralized feeding conveying unit is used to convey the primary processed plastic raw materials to the silo in the first target production area through the centralized feeding equipment; the centralized feeding control unit is used to control the centralized feeding plastic raw material speed and the centralized feeding plastic raw material flow rate through the centralized feeding equipment.

[0049] In this embodiment, the plastic raw materials are cleaned by using cleaning agents and equipment to remove dirt, oil stains, etc. on the surface of the raw materials, which helps to improve the quality of the product and prevent pollution; the plastic raw materials are dried by using drying equipment, such as an oven, a dryer, etc., to dry the cleaned raw materials, which helps to prevent the raw materials from agglomerating, sticking, and other problems in the subsequent production process; the plastic raw materials are crushed. For some raw materials with larger particles, crushing equipment is required to crush them into smaller particles for subsequent loading and transportation.

[0050] Furthermore, the weighing and metering proportioning module includes a weighing and metering proportioning feature classification unit and a weighing and metering proportioning mixing unit: the weighing and metering proportioning module is used to classify the plastic raw materials and weigh and meter the plastic raw materials according to a preset weighing and metering proportioning mixing scheme through a weighing and metering proportioning device to obtain a mixed proportion of plastic raw materials; the feature classification unit is used to divide the first target feature of the plastic raw materials according to the plastic raw material proportioning scheme in the preset weighing and metering proportioning mixing scheme, construct a plastic raw material support vector machine model according to the first target feature of the plastic raw materials, obtain a plastic raw material melting feature correction value through the plastic raw material support vector machine model analysis, and obtain a plastic raw material melting feature correction value through the analysis of the plastic raw material melting feature correction value. To the first target characteristic value of the plastic raw material, the first target characteristic value of the plastic raw material is used to refer to the comprehensive evaluation characteristic performance level of various characteristics of the plastic raw material obtained by the plastic raw material support vector machine model analysis, and the plastic raw material melting characteristic correction value is used to describe the correction value of the plastic raw material melting characteristic for the comprehensive evaluation characteristic performance level of various characteristics of the plastic raw material; the plastic raw materials are classified according to the first target characteristic value of the plastic raw material to obtain the classification result of the plastic raw material; the weighing, metering, proportioning and mixing unit is used to weigh, meter, proportion and mix different types of plastic raw materials according to the plastic raw material classification result through a preset weighing, metering, proportioning and mixing scheme to obtain a mixed proportion plastic raw material.

[0051] In this embodiment, the first target characteristic value of the plastic raw material can be obtained by a calculation formula in addition to being obtained by the principal component analysis method. The specific calculation formula is as follows:

[0052]

[0053] In the formula, θ represents the first target characteristic value of the plastic raw material, and the weighing and metering ratio characteristic monitoring points are set, and the weighing and metering ratio characteristic monitoring points are numbered in sequence, F0=1,2,...,F, F0 represents the number of the weighing and metering ratio characteristic monitoring point, and F represents the total number of the weighing and metering ratio characteristic monitoring points. It represents the RGB characteristic value of the plastic raw material at the F0th weighing and metering ratio characteristic monitoring point. It represents the characteristic value of the density of the plastic raw material at the F0th weighing and metering ratio characteristic monitoring point. It represents the shape characteristic value of the plastic raw material particles at the F0th weighing and metering ratio characteristic monitoring point. Represents the weight factor of the RGB feature value of the plastic raw material to the first target feature value of the plastic raw material, Represents the weight factor of the plastic raw material density characteristic value for the first target characteristic value of the plastic raw material, Represents the weight factor of the shape characteristic value of the plastic raw material particle to the first target characteristic value of the plastic raw material, Indicates the correction value of the melting characteristics of plastic raw materials.

[0054] The RGB characteristic values ​​are measured by a colorimeter or a spectrophotometer to accurately determine the color of the plastic raw material and give the RGB value to obtain the RGB characteristic value of the plastic raw material; the density of the plastic sample is accurately measured by an electronic density meter to obtain the density characteristic value of the plastic raw material; the shape characteristics of the plastic raw material particles are determined by an image analysis system, including a microscope, a camera and image processing software, which can analyze the shape, size, roundness, length, width and other characteristics of the plastic particles to obtain the shape characteristic values ​​of the plastic raw material particles.

[0055] The first target characteristic value of the plastic raw material makes the comprehensive evaluation feature performance level of various characteristics of the plastic raw material obtained through the analysis of the plastic raw material support vector machine model more clear. The use of logarithmic function evaluation makes the function graph of the positive pressure blowing detection quality level value smoother, which is convenient for observing the changing trend of the positive pressure blowing detection quality level.

[0056] In addition to being obtained through the neural convolution network algorithm, the correction value of the melting characteristic of the plastic raw material can also be obtained through a calculation formula. The specific calculation formula is as follows:

[0057]

[0058] In the formula, Indicates the correction value of the melting characteristics of plastic raw materials. It represents the characteristic value of the plastic raw material melt index at the F0th weighing and metering ratio characteristic monitoring point. It represents the melting and solidification point characteristic value of the plastic raw material at the F0th weighing and metering ratio characteristic monitoring point, λ1 represents the weight factor of the plastic raw material melt index characteristic value for the plastic raw material melting characteristic correction value, and λ2 represents the weight factor of the plastic raw material melting and solidification point characteristic value for the plastic raw material melting characteristic correction value.

[0059] The tool commonly used to measure the melt index is a melt index meter, also known as a melt index meter or melt flow meter. Under a certain temperature and pressure, the melt index is calculated by measuring the flow rate of the plastic melt in a certain period of time to obtain the characteristic value of the melt index of the plastic raw material.

[0060] The tool commonly used to measure the melting and solidification points is a differential scanning calorimeter (DSC). The DSC instrument can accurately measure the heat change of a plastic sample during heating or cooling, thereby determining the melting point and solidification point, and obtaining the characteristic values ​​of the melting and solidification points of the plastic raw materials.

[0061] The correction value of the melting characteristic of the plastic raw material makes the evaluation of the first target characteristic value of the plastic raw material clearer. The use of logarithmic function evaluation makes the function graph of the positive pressure blowing detection quality level value smoother, which is convenient for observing the changing trend of the positive pressure blowing detection quality level.

[0062] Furthermore, the specific process of constructing a plastic raw material support vector machine model based on the first target feature of the plastic raw material is as follows: collect the original data of the plastic raw materials in the actual centralized feeding production of the automatic feeding system, perform data preprocessing on the original data of the plastic raw materials, and obtain plastic raw material preprocessing data; divide the plastic raw material characteristic data according to the plastic raw material ratio scheme in the preset weighing and metering ratio mixing scheme to obtain the first target feature of the plastic raw material; perform data feature labeling on the plastic raw material preprocessing data according to the first target feature of the plastic raw material through a supervised learning method to obtain plastic raw material labeled feature data; train the original support vector machine model through the plastic raw material labeled feature data, select the penalty parameters and kernel function parameters through cross-validation and adjust the weights in the original support vector machine model to obtain the plastic raw material support vector machine model.

[0063] In this embodiment, the preset weighing and metering ratio mixing scheme represents the actual ratio scheme of the weighing and metering ratio mixing of different plastic raw materials in the actual production plan; characteristic data of different types of plastic raw materials are collected, which may include the color, density and particle size of the raw materials; the first target feature of the plastic raw material includes the plastic raw material characteristic data, and the SVM kernel function is selected, such as the linear kernel, the polynomial kernel, and the radial basis function (RBF) kernel, and the kernel function finally required can be determined according to the actual model evaluation performance.

[0064] Furthermore, the loss-in-weight feeding and conveying module includes a loss-in-weight feeding monitoring unit, a loss-in-weight feeding and conveying unit and a loss-in-weight feeding control unit: the loss-in-weight feeding monitoring unit is used to monitor the operating parameters in the loss-in-weight feeding process in real time through the loss-in-weight feeding and conveying equipment; the loss-in-weight feeding and conveying unit is used to convey the mixed plastic raw materials and recycled plastic raw materials to the first target production and processing equipment on the production line through the loss-in-weight feeding and conveying equipment; the loss-in-weight feeding control unit is used to evaluate and analyze the proportion parameters of the recycled plastic raw materials in the recycled plastic raw materials, and adjust the preset weighing and metering proportioning mixing scheme of the weighing and metering proportioning mixing unit accordingly.

[0065] In this embodiment, specific adjustments are made to the types and quantities of plastic raw materials in the preset weighing and metering ratio mixing scheme based on the recycling data of the recycled plastic raw materials. For example, if the proportion of a certain plastic raw material in the recycled plastic raw materials is relatively high, the ratio of the corresponding plastic raw material in the plastic raw material ratio scheme is correspondingly lowered.

[0066] Furthermore, the feeding human-computer interaction module includes: a feeding comprehensive evaluation unit, a feeding interaction unit, a feeding control unit and a feeding display unit: the feeding comprehensive evaluation unit is used to obtain the material feeding diversity and accurate quality level value according to the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material through comprehensive evaluation and analysis, and the material feeding diversity and accurate quality level value is used to refer to the automatic feeding system's evaluation level of the plastic raw material feeding diversity and accurate quality; the material feeding diversity and accurate quality level value is compared with the preset material feeding diversity and accurate quality threshold value, and the comparative analysis difference result is obtained by analysis; the feeding interaction unit is used to set the first target storage area, set the first target production area, set the first target production area silo, set the positive pressure blowing and conveying scheme, and set the preset weighing and metering ratio mixing scheme; the feeding control unit is used to control the positive pressure blowing and conveying scheme and the preset weighing and metering ratio mixing scheme according to the comparative analysis difference result; the feeding display unit is used to display the first target storage area, the first target production area, the first target production area silo, the positive pressure blowing and conveying scheme, the preset weighing and metering ratio mixing scheme and the preset weighing and metering ratio mixing scheme.

[0067] In this embodiment, Figure 3 A schematic diagram of the structure of the feeding human-machine interaction module in the automatic feeding system provided in the embodiment of the present application; the preset material feeding diverse and accurate quality thresholds are obtained by the following methods, including comprehensive analysis of the physical and chemical properties of different plastic raw materials through experimental testing, analysis based on the requirements of the production process for the quality of raw materials, analysis based on the quality data of the raw material supply in the past production process, and analysis based on the trial operation before the new system or process is launched; the positive pressure blowing and conveying scheme includes regulating the power value of the positive pressure blowing feeding pump, regulating the positive pressure blowing flow rate, regulating the positive pressure conveying raw material quality difference, regulating the positive pressure blowing pressure fluctuation peak-to-valley difference, and regulating the positive pressure blowing preset standard rate value;

[0068] The preset weighing and metering ratio mixing scheme is controlled, including the features corresponding to the first target features of the plastic raw materials, the data annotations corresponding to the labeled feature data of the plastic raw materials, the weights in the original support vector machine model, the peak-to-valley difference of the positive pressure blowing pressure fluctuations and the preset standard rate value of the positive pressure blowing.

[0069] Furthermore, the specific process of obtaining the material feeding diversity and accuracy quality level value by comprehensive evaluation and analysis based on the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material is as follows: the positive pressure blowing detection parameters are obtained through the positive pressure blowing monitoring unit, and the first target characteristic of the plastic raw material is obtained through the characteristic classification unit; the positive pressure blowing detection parameters and the first target characteristic of the plastic raw material are listed as scheme layer elements, and a scheme layer feeding pairwise comparison matrix is ​​constructed; the relative importance score of the elements in the scheme layer feeding pairwise comparison matrix is ​​set by a predefined scaling method; the material feeding diversity and accuracy related parameters are extracted through the material feeding diversity and accuracy database, and the material feeding diversity and accuracy related parameters are used as elements in the highest layer; the relative weights of the scheme layer elements relative to the elements in the highest layer are obtained by solving the maximum eigenvalue and the corresponding eigenvector of the scheme layer feeding pairwise comparison matrix, thereby analyzing and obtaining the weight factors of the material feeding diversity and accuracy quality level values ​​corresponding to the positive pressure blowing detection quality level value and the weight factors of the material feeding diversity and accuracy quality level values ​​corresponding to the first target characteristic value of the plastic raw material, and the material feeding diversity and accuracy quality level values ​​are obtained by combining the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material.

[0070] In this embodiment, the analytic hierarchy process (AHP) is a systematic and hierarchical decision analysis method that combines qualitative and quantitative methods. It decomposes complex problems into multiple levels and factors, and then evaluates the importance of these factors through pairwise comparison and weight calculation; the predefined scaling method uses a 1-9 scaling method to give a relative importance score for each pair of factors, where 1 means that the two factors are equally important and 9 means that one factor is much more important than the other; the relative weight of each factor relative to the previous layer is obtained by solving the maximum eigenvalue and corresponding eigenvector of the pairwise comparison matrix; the consistency index (CI) and consistency ratio (CR) are calculated to test the consistency of the pairwise comparison matrix. If the CR is less than 0.1, it is considered that the pairwise comparison matrix has satisfactory consistency, and the weights of each layer are recursively pushed down to obtain the composite weight of the lowest layer (scheme layer) elements relative to the highest layer (target layer).

[0071] Furthermore, the specific constraint formula for the accurate quality level value of the material feed diversity is:

[0072]

[0073] In the formula, χ represents the material feeding diversity and accurate quality level value, β represents the positive pressure blowing detection quality level value, θ represents the first target characteristic value of the plastic raw material, ψ1 represents the weight factor of the positive pressure blowing detection quality level value corresponding to the material feeding diversity and accurate quality level value, ψ2 represents the weight factor of the plastic raw material first target characteristic value corresponding to the material feeding diversity and accurate quality level value, and e represents a natural constant.

[0074] In this embodiment, the accurate quality level values ​​of the material feed can be obtained not only through calculation formulas, but also by tracking and analyzing the quality data of the materials using quality management software.

[0075] The technical solution in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: relative to an automated injection molding production scheduling system and method disclosed in the patent application with publication number: CN115829223A, the embodiment of the present application uses a positive pressure blowing module to positively blow plastic raw materials from a first target storage area to a first target production area through a positive pressure blowing device, wherein the positive pressure blowing evaluation unit evaluates the positive pressure blowing detection parameters, analyzes and obtains the positive pressure blowing pressure correction value, thereby utilizing the advantages of data analysis, and can continuously optimize the blowing pressure through the calculation of statistical characteristic values ​​and the training of the regression analysis model. , thereby improving the efficiency and accuracy of the automatic feeding system; relative to the injection molding industry production line material request method, device, equipment and storage medium disclosed in the patent application with publication number: CN114912876A, the embodiment of the present application uses a weighing and metering proportioning module to classify and weigh and meter the plastic raw materials according to a preset weighing and metering proportioning mixing scheme through a weighing and metering proportioning device, wherein the feature classification unit uses a support vector machine model to accurately classify the plastic raw materials, thereby correctly identifying and separating different plastic raw materials in the production process, producing diversified products, and thus realizing the material diversity of the automatic feeding system.

[0076] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0080] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0081] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these 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 these modifications and variations.

Claims

1. An automatic feeding system, characterized in that: It includes positive pressure blowing module, centralized feeding module, weighing and proportioning module, loss-in-weight feeding and conveying module and feeding human-machine interaction module: The positive pressure blowing module is used to positively blow the plastic raw materials from the first target storage area to the first target production area through the positive pressure blowing equipment; The centralized feeding module is used to perform preliminary processing on the plastic raw materials in the first target production area through the centralized feeding equipment, and transport them to the first target production area silo; The weighing and metering proportioning module is used to classify the plastic raw materials and weigh and meter the plastic raw materials according to the preset weighing and metering proportioning mixing scheme through the weighing and metering proportioning equipment to obtain the mixed proportion plastic raw materials; The loss-in-weight feeding and conveying module is used to convey the mixed and proportioned plastic raw materials to the first target production and processing equipment through the loss-in-weight feeding and conveying equipment; The feeding human-machine interaction module is used to set parameters of the positive pressure blowing module, the centralized feeding module, the weighing metering and proportioning module and the loss-in-weight feeding and conveying module through the feeding human-machine interaction device.

2. The automatic feeding system according to claim 1, characterized in that: The positive pressure blowing module includes a positive pressure blowing monitoring unit, a positive pressure blowing evaluation unit, a positive pressure blowing delivery unit and a positive pressure blowing control unit: The positive pressure blowing monitoring unit is used to monitor the positive pressure blowing detection parameters in the positive pressure blowing process in real time; The positive pressure blowing evaluation unit is used to evaluate the positive pressure blowing detection parameters, analyze and obtain the positive pressure blowing pressure correction value, and analyze and obtain the positive pressure blowing detection quality level value in combination with the positive pressure blowing pressure correction value. The positive pressure blowing pressure correction value is used to evaluate the positive pressure blowing plastic raw material quality level correction value when the positive pressure blowing module uses the positive pressure blowing equipment to positively blow the plastic raw materials from the first target storage area to the first target production area. The positive pressure blowing detection quality level value is used to evaluate the comprehensive blowing quality level when the positive pressure blowing module uses the positive pressure blowing equipment to positively blow the plastic raw materials from the first target storage area to the first target production area; The positive pressure blowing and conveying unit is used to positively blow the plastic raw materials from the first target storage area to the first target production area through the positive pressure blowing equipment according to the positive pressure blowing and conveying scheme; The positive pressure blowing control unit is used to adjust the positive pressure blowing delivery plan according to the positive pressure blowing detection quality level value.

3. The automatic feeding system according to claim 2, characterized in that: The specific process of analyzing and obtaining the positive pressure blowing pressure correction value is as follows: The positive pressure blowing detection parameters in the positive pressure blowing process are collected through the positive pressure blowing monitoring unit, and the positive pressure blowing detection parameters are cleaned, data features are extracted and data normalized to obtain the positive pressure blowing statistical characteristic values. A regression analysis model is constructed through statistical analysis method, and the regression analysis model is trained according to the positive pressure blowing statistical characteristic values. The positive pressure blowing pressure correction value is obtained through analysis and evaluation of the regression analysis model.

4. The automatic feeding system according to claim 1, characterized in that: The centralized feeding module includes a centralized feeding initial processing unit, a centralized feeding conveying unit and a centralized feeding control unit: The centralized feeding and primary processing unit is used to clean, dry, crush and screen the plastic raw materials in the first target production area through the centralized feeding equipment to obtain the primary processed plastic raw materials; The centralized feeding and conveying unit is used to convey the primary processed plastic raw materials to the first target production area silo through the centralized feeding equipment; The centralized feeding control unit is used to control the centralized feeding speed and the centralized feeding flow rate of the plastic raw materials through the centralized feeding equipment.

5. The automatic feeding system according to claim 1, characterized in that: The weighing and metering proportioning module includes a weighing and metering proportioning feature classification unit and a weighing and metering proportioning mixing unit: The weighing and metering proportioning module is used to classify the plastic raw materials and weigh and meter the plastic raw materials according to the preset weighing and metering proportioning mixing scheme through the weighing and metering proportioning equipment to obtain the mixed proportion plastic raw materials; The feature classification unit is used to classify the first target feature of the plastic raw material according to the plastic raw material ratio scheme in the preset weighing and metering ratio mixing scheme, construct a plastic raw material support vector machine model according to the first target feature of the plastic raw material, obtain the plastic raw material melting feature correction value through the plastic raw material support vector machine model analysis, and obtain the first target feature value of the plastic raw material in combination with the plastic raw material melting feature correction value analysis, the plastic raw material first target feature value is used to refer to the comprehensive evaluation feature performance level of various features of the plastic raw material obtained by the plastic raw material support vector machine model analysis, and the plastic raw material melting feature correction value is used to describe the correction value of the plastic raw material melting feature for the comprehensive evaluation feature performance level of various features of the plastic raw material; Classify the plastic raw materials according to the first target characteristic value of the plastic raw materials to obtain a plastic raw material classification result; The weighing, metering, proportioning and mixing unit is used to weigh, meter, proportion and mix different types of plastic raw materials according to the classification results of the plastic raw materials through a preset weighing, metering, proportioning and mixing scheme to obtain mixed proportion plastic raw materials.

6. The automatic feeding system according to claim 5, characterized in that: The specific process of constructing the plastic raw material support vector machine model according to the first target feature of the plastic raw material is: Collecting original data of plastic raw materials in actual centralized feeding production of the automatic feeding system, preprocessing the original data of plastic raw materials, and obtaining preprocessed data of plastic raw materials; According to the plastic raw material ratio scheme in the preset weighing and metering ratio mixing scheme, the plastic raw material characteristic data is divided to obtain the first target characteristic of the plastic raw material; Performing data feature labeling on the plastic raw material preprocessing data according to the first target feature of the plastic raw material by a supervised learning method to obtain plastic raw material labeling feature data; The original support vector machine model is trained by annotated feature data of plastic raw materials, and the penalty parameters and kernel function parameters are selected through cross-validation and the weights in the original support vector machine model are adjusted to obtain the plastic raw material support vector machine model.

7. The automatic feeding system according to claim 1, characterized in that: The loss-in-weight feeding and conveying module includes a loss-in-weight feeding monitoring unit, a loss-in-weight feeding and conveying unit, and a loss-in-weight feeding control unit: The loss-in-weight feeding monitoring unit is used to monitor the operating parameters of the loss-in-weight feeding process in real time through the loss-in-weight feeding conveying equipment; The loss-in-weight feeding and conveying unit is used to convey the mixed plastic raw material and the recycled plastic raw material to the first target production and processing equipment on the production line through the loss-in-weight feeding and conveying equipment; The loss-in-weight feeding control unit is used to evaluate and analyze the proportion parameters of the recycled plastic raw materials in the recycled plastic raw materials, and adjust the preset weighing and metering proportioning and mixing scheme of the weighing and metering proportioning and mixing unit accordingly.

8. The automatic feeding system according to claim 1, characterized in that: The feeding human-machine interaction module includes: a feeding comprehensive evaluation unit, a feeding interaction unit, a feeding control unit and a feeding display unit: The comprehensive material feeding evaluation unit is used to comprehensively evaluate and analyze the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material to obtain the material feeding diversity and accuracy quality level value, and the material feeding diversity and accuracy quality level value is used to refer to the automatic feeding system's evaluation level of the plastic raw material feeding diversity and accuracy quality; Compare the material feed diversity accurate quality level value with the preset material feed diversity accurate quality threshold value, and analyze to obtain the comparative analysis difference results; The feed interaction unit is used to set the first target storage area, set the first target production area, set the first target production area silo, set the positive pressure blowing and conveying scheme, and set the preset weighing and metering ratio mixing scheme; The feeding control unit is used to control the positive pressure blowing and conveying scheme and the preset weighing and metering ratio mixing scheme according to the comparison and analysis difference results; The material feeding display unit is used to display the first target storage area, the first target production area, the first target production area silo, the positive pressure blowing and conveying scheme, the preset weighing and metering ratio mixing scheme and the preset weighing and metering ratio mixing scheme.

9. The automatic feeding system according to claim 8, characterized in that: The specific process of comprehensively evaluating and analyzing the positive pressure blowing detection quality level value and the first target characteristic value of the plastic raw material to obtain the diverse and accurate quality level values ​​of the material feed is as follows: Acquire positive pressure blowing detection parameters through a positive pressure blowing monitoring unit, and acquire a first target feature of the plastic raw material through a feature classification unit; The positive pressure blowing detection parameters and the first target characteristics of the plastic raw materials are listed as scheme layer elements, and a scheme layer feeding pairwise comparison matrix is ​​constructed; The relative importance scores of the elements in the pairwise comparison matrix of the scheme-level feeds are set using a predefined scaling method; Extract the relevant parameters of material supply diversity and accuracy through the material supply diversity and accuracy database, and use the relevant parameters of material supply diversity and accuracy as the elements in the highest layer; By solving the maximum eigenvalue and corresponding eigenvector of the scheme-level material feeding pairwise comparison matrix, the relative weights of the scheme-level elements relative to the elements in the highest level are obtained. Based on this, the weight factors of the positive pressure blowing detection quality level values ​​corresponding to the material feeding diversity and accurate quality level values ​​and the weight factors of the plastic raw material first target eigenvalues ​​corresponding to the material feeding diversity and accurate quality level values ​​are obtained. Combined with the positive pressure blowing detection quality level values ​​and the plastic raw material first target eigenvalues, the material feeding diversity and accurate quality level values ​​are obtained.

10. The automatic feeding system according to claim 9, characterized in that: The specific constraint formula for the material feed diversity and accurate quality level value is: In the formula, χ represents the material feeding diversity and accurate quality level value, β represents the positive pressure blowing detection quality level value, θ represents the first target characteristic value of the plastic raw material, ψ1 represents the weight factor of the positive pressure blowing detection quality level value corresponding to the material feeding diversity and accurate quality level value, ψ2 represents the weight factor of the plastic raw material first target characteristic value corresponding to the material feeding diversity and accurate quality level value, and e represents a natural constant.

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