A method and system for shearing a beverage carton

Abstract

The embodiment of the application provides a beverage box shearing processing method and system, which are applied to the field of beverage box recycling processing. The method comprises the following steps: collecting first characteristic data of a beverage box to be processed, and controlling a compression device to compress the beverage box into a compressed block according to the first characteristic data; collecting the characteristic data of the compressed block to obtain second characteristic data including thickness, density, length and width, and matching the second characteristic data with a preset data rule library to obtain a matching result; setting action parameters of a shearing mechanism according to the matching result, wherein the action parameters include shearing strength, shearing frequency and shearing stroke; calculating the number of standard slices in a single shearing stroke based on the shearing stroke and the width of the block, and generating a multi-stage slicing path in combination with a preset slice thickness range; and controlling the shearing mechanism to perform a grading slicing operation along the path to obtain sheared pieces and input the sheared pieces into a smelting device as smelting furnace material, so that the metal recovery rate and the smelting efficiency are improved.

Description

Technical Field

[0001] This application relates to the field of beverage carton metal recycling technology, and in particular to a method and system for shearing beverage cartons. Background Technology

[0002] In the field of recycled metal resources, existing systems for large-scale processing of waste beverage cartons generally employ a pretreatment method centered on mechanical crushing, supplemented by shearing. The core design objective is rapid volume reduction and preliminary disintegration to meet the basic requirements for transportation and furnace loading. This system typically consists of a conveyor, a heavy-duty metal crusher, a matching shearing machine (for handling large impurities or briquettes that may clog the crusher), sorting devices (such as magnetic separators and air separators), and baling equipment.

[0003] In existing beverage carton processing methods, the collected cartons are first evenly fed into a high-speed rotary crusher chamber by a plate chain conveyor. There, the empty cans are pulverized into irregular fragments through high-torque cutter discs and high-speed shearing and impact. Subsequently, the crushed material is vibrated and screened. Fragments of suitable size are conveyed out, while large, uncrushed metal objects or impurities are diverted to a high-pressure shearing machine for forced cutting to a processable size. Finally, the crushed and sheared material is directly sent to a smelting plant.

[0004] The above-mentioned solutions still have some problems in practical application. In the existing beverage box processing methods, when recycling beverage boxes, crushing and shearing processes are usually used to break them down into fragments. The resulting fragments are loose, irregular, and have a large specific surface area. When this material is directly sent to the smelting process, it will increase the contact area between the metal and oxygen and prolong the exposure time, thereby triggering a violent oxidation reaction, resulting in increased metal resource loss and reduced recovery rate. Summary of the Invention

[0005] This application provides a method and system for processing sheared beverage cartons, which is used to obtain uniformly dense and regularly shaped pieces of beverage cartons by compressing and feature-driven shearing during the recycling process, thereby reducing metal oxidation loss during smelting and improving metal recovery rate.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] This application provides a method for shearing beverage cartons. The method includes: collecting first feature data of the beverage cartons to be processed, and controlling a compression device to compress the beverage cartons into compressed blocks based on the first feature data. The first feature data includes a range of beverage carton quantity, material type, and average size range. The compressed blocks are then subjected to feature acquisition to obtain second feature data. The second feature data is matched with a preset data rule base to obtain a matching result. The second feature data includes the thickness, density, length, and width of the compressed blocks. Based on the matching result, action parameters of a shearing mechanism are set. The action parameters include shearing force, shearing frequency, and shearing stroke. Based on the shearing stroke and the width of the compressed blocks, the number of standard slices obtained in a single shearing operation is calculated. Based on the number of standard slices and a preset target thickness range for the sheared slices, the number of shearing operations and shearing positions for multi-level slicing of the compressed blocks are obtained, generating a multi-level slicing path. Based on the shearing force and the shearing frequency, the shearing mechanism is controlled to perform graded slicing operations along the multi-level slicing path to obtain sheared slices. The sheared slices are used as furnace feed input to a smelting device to obtain recycled metal.

[0008] In some possible implementations, controlling the compression device to compress the beverage carton into compressed blocks based on the first feature data includes: determining the number of beverage cartons to be compressed in a single batch based on the first feature data, and determining the initial pressure parameters of the compression device based on the number of beverage cartons to be compressed in a single batch in combination with the material type; controlling the compression device to compress the beverage cartons into initial blocks, wherein the pressure parameters include compression force and stroke parameters, the compression force is used to control the compression device to compress the beverage cartons to the density required for the compressed blocks, and the stroke parameters are used to control the stroke range of the compression device to ensure that the size of the compressed blocks meets the preset thickness and length requirements; performing feature acquisition on the initial blocks to obtain second feature data, the second feature data including the thickness and density of the initial blocks; if the density of the initial blocks is greater than or equal to a preset density threshold, using the initial blocks as compressed blocks; if the density of the initial blocks is less than the preset density threshold, correcting the initial pressure parameters based on the thickness and density of the initial blocks to obtain target pressure parameters, and driving the compression device to compress the initial blocks based on the target pressure parameters, outputting corrected blocks as compressed blocks.

[0009] In some possible implementations, the step of correcting the initial pressure parameter based on the thickness and density of the material block to obtain the target pressure parameter includes: determining the thickness difference between the initial material block thickness and a preset thickness threshold; determining the density difference between the initial material block density and a preset density threshold; determining a thickness correction amount based on the thickness difference, and correcting the stroke parameter of the initial pressure parameter using the thickness correction amount to generate a target stroke parameter for adjusting the stroke range of the compression device; determining a density correction amount based on the density difference, and correcting the compression force of the initial pressure parameter using the density correction amount to generate a target compression force for adjusting the compression force of the compression device; the target stroke parameter and the target compression force constitute the target pressure parameter.

[0010] In some possible implementations, matching the second feature data with a preset data rule base to obtain a matching result includes: the data rule base is configured to store the correspondence between standard compressed block features and the action parameters of the shearing mechanism, wherein the standard compressed block features include thickness, density, length, and width, and the action parameters include shearing force, shearing frequency, and shearing stroke; comparing the thickness, density, length, and width in the second feature data with the corresponding standard compressed block features in the data rule base to determine the degree of matching for each feature; calculating a comprehensive matching score based on the degree of matching and the preset weight of each feature, and generating a candidate matching result list by sorting the matching scores; filtering the candidate matching result list and selecting the action parameter corresponding to the standard compressed block feature most similar to the second feature data as the final matching result.

[0011] In some possible implementations, after obtaining the sheared sheet, the method further includes: performing a quality inspection on the sheared sheet to obtain its actual density and actual size; determining the quality inspection result based on the relationship between the actual density of the sheared sheet and a preset density range, and the relationship between the actual size of the sheared sheet and a preset size range; when the quality inspection result indicates that the sheared sheet is qualified, obtaining third characteristic data corresponding to the qualified sheared sheet, the third characteristic data including the thickness, length, width, and quantity of the sheared sheet; and stacking the sheared sheets according to the third characteristic data to form a furnace charge pile that can be directly input into the smelting equipment.

[0012] In some possible implementations, determining the quality inspection result based on the relationship between the actual density of the sheared sheet and a preset density range, and the relationship between the actual size of the sheared sheet and a preset size range, includes: determining the quality inspection result as "sheared sheet qualified" when the actual density is within the preset density range and the size is within the preset size range; determining the quality inspection result as "sheared sheet unqualified" when the actual density exceeds the preset density range or the size exceeds the preset size range, and generating a correction signal based on the quality inspection result, wherein the correction signal triggers the correction of the initial pressure parameters of the compression equipment or the action parameters of the shearing mechanism.

[0013] In some possible implementations, after determining that the quality inspection result is that the sheared material is unqualified, the method further includes: setting a target time window, counting the number of unqualified sheared materials in the target time window, and calculating the failure rate per unit time period; when the failure rate per unit time period exceeds a preset failure rate threshold, generating an alarm signal, which is used to indicate that there is an abnormality in the shearing blade and trigger the operator to check.

[0014] In some possible implementations, the stacking of the sheared sheets according to the third feature data to form a furnace charge pile that can be directly input into the smelting equipment includes: calculating stacking parameters based on the third feature data and the feed inlet size of the smelting equipment, wherein the stacking parameters include the number of sheared sheets stacked in each layer, the total number of stacked layers, and the amount of overlap between adjacent layers; and arranging multiple sheared sheets in a staggered stacking manner based on the stacking parameters to form a furnace charge pile that can be directly input into the smelting equipment.

[0015] In some possible implementations, before acquiring the first feature data of the beverage boxes to be processed, the method further includes: performing visual inspection on the beverage boxes to identify and sort out abnormal beverage boxes containing non-metallic accessories or contents residue; weighing the sorted normal beverage boxes to obtain weighing data, the weighing data being used to calculate the range of the number of beverage boxes for the first feature data.

[0016] This application provides a beverage carton shearing and processing system. The system includes: a feature acquisition module for acquiring feature data of the material to be processed and inputting the feature data to a data processing module. The material to be processed includes beverage cartons and compressed material blocks. The feature data includes first feature data and second feature data. The first feature data is acquired from the beverage cartons and includes the quantity range, material type, and average size range of the beverage cartons. The second feature data is acquired from the compressed material blocks and includes the thickness, density, length, and width information of the compressed material blocks. The data processing module receives the feature data from the feature acquisition module, which includes the first feature data and the second feature data. It calculates the pressure parameters of the compression device based on the first feature data, sends the pressure parameters to the compression module, and inputs the first feature data to the data processing module. The two feature data are matched with a preset data rule base to obtain a matching result. Based on the matching result, the action parameters of the shearing mechanism are set and sent to the shearing control module. The action parameters include shearing force, shearing frequency, and shearing stroke. The compression module receives pressure parameters from the data processing module, controls the compression device to compress the beverage box into compressed material blocks according to the pressure parameters, and inputs the compressed material blocks into the shearing control module. The shearing control module receives the action parameters from the data processing module and the compressed material blocks from the compression module, and controls the shearing mechanism according to the action parameters to shear the compressed material blocks to obtain sheared sheets. The smelting module receives the sheared sheets from the shearing control module, uses the sheared sheets as furnace charge in the smelting process for smelting, and outputs recycled metal.

[0017] As can be seen from the above technical solution, this application has the following beneficial effects:

[0018] 1. This application compresses beverage cartons to form compressed blocks, and uses data such as the thickness, density, length, and width of the compressed blocks to drive the shearing force, shearing frequency, and shearing stroke of the shearing mechanism, thereby obtaining sheared sheets with uniform density and regular geometric shape. Compared to the loose and irregular fragments produced by crushing in the prior art, the sheared sheets of this application have a significantly reduced surface area in contact with oxygen per unit mass, resulting in reduced metal oxidation reactions during smelting, lower metal loss, and improved recovery rate. Simultaneously, by using the characteristic data of the sheared sheets to calculate the furnace charge stacking parameters, the sheared sheets are stacked in staggered layers to form a dense furnace charge pile, effectively shortening the smelting exposure time and improving smelting efficiency and metal yield.

[0019] 2. This application establishes a closed-loop processing system consisting of a feature acquisition module, a data processing module, a compression module, a shearing control module, and a smelting module. A data rule base is established using historical production data to achieve a non-linear mapping from the characteristics of standard compressed material blocks to shearing action parameters. This supports differentiated compression and shearing for different beverage box materials and batch characteristics. A density and size sampling inspection and alarm feedback mechanism is added to the compressed material blocks. When the density or size of the material blocks exceeds a threshold, the pressure parameters of the compression equipment or the shearing action parameters can be automatically corrected, improving production consistency and controllability, reducing equipment wear and blockage risks, and enhancing system safety and processing efficiency. Attached Figure Description

[0020] Figure 1 This is a flowchart of a method for cutting beverage cartons according to this application;

[0021] Figure 2 This is a structural example diagram of a beverage carton cutting and processing system according to this application. Detailed Implementation

[0022] The terms "first," "second," and "third," etc., used in this application specification, claims, and drawings are used to distinguish different objects, not to limit a specific order.

[0023] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0024] Research has found that in existing beverage carton processing methods, the recycling of beverage cartons typically involves crushing and shearing processes to break them down into fragments. These fragments are loose, irregular, and have a large specific surface area. When this material is directly fed into the smelting process, it increases the contact area between the metal and oxygen and prolongs the exposure time, thereby triggering a violent oxidation reaction, leading to increased metal resource loss and a reduced recovery rate.

[0025] To address the aforementioned problems, this application provides a method for shearing beverage cartons. The method includes: collecting first characteristic data of the beverage cartons to be processed, and controlling a compression device to compress the beverage cartons into compressed blocks based on the first characteristic data. The first characteristic data includes a range of beverage carton quantity, material type, and average size range. The compressed blocks are then subjected to feature acquisition to obtain second characteristic data. The second characteristic data is matched with a preset data rule base to obtain a matching result. The second characteristic data includes the thickness, density, length, and width of the compressed blocks. Based on the matching result, action parameters of a shearing mechanism are set. The action parameters include shearing force, shearing frequency, and shearing stroke. Based on the shearing stroke and the width of the compressed blocks, the number of standard slices obtained in a single shearing operation is calculated. Based on the number of standard slices and a preset target thickness range for the sheared slices, the number of shearing operations and shearing positions for multi-level slicing of the compressed blocks are obtained, generating a multi-level slicing path. Based on the shearing force and the shearing frequency, the shearing mechanism is controlled to perform graded slicing operations along the multi-level slicing path to obtain sheared slices. The sheared slices are used as furnace feed input to a smelting device to obtain recycled metal.

[0026] Example 1: As Figure 1 As shown, this application provides a method for processing sheared beverage cartons. Specifically, the method involves collecting first characteristic data of the beverage cartons to be processed and controlling a compression device to compress the beverage cartons into compressed blocks based on the first characteristic data.

[0027] The beverage boxes to be processed are conveyed to the feature acquisition module via a conveying mechanism. The visual inspection device and dynamic weighing device inspect and weigh the beverage boxes to obtain the quantity range, material type and average size range of the beverage boxes, forming the first feature data.

[0028] Based on the first feature data, the data processing module generates initial pressure parameters for the compression device. The compression device compresses the beverage box into an initial block according to the initial pressure parameters. The pressure parameters include compression force and stroke parameters. The compression force is used to control the block density to reach a preset value, and the stroke parameters are used to control the block thickness and length to reach a preset range.

[0029] The process involves feature acquisition of the compressed material block to obtain second feature data, matching the second feature data with a preset data rule base to obtain a matching result, and setting the action parameters of the shearing mechanism based on the matching result. Specifically:

[0030] After the compression equipment completes the initial compression, the thickness, density, length and width of the initial material block are collected by sensors to form the second feature data;

[0031] The system matches the second feature data with a preset data rule base, generates a matching result based on the degree of matching and feature weight, and determines the action parameters of the shearing mechanism based on the matching result. The action parameters include shearing force, shearing frequency and shearing stroke.

[0032] The process of driving the shearing mechanism based on the motion parameters to slice the compressed material block into sheared pieces is specifically as follows:

[0033] Based on the shearing stroke and the width of the compressed block, the number of standard slices that can be obtained in a single shearing operation is calculated; according to the number of standard slices and the preset target thickness range of the sheared slices, the number of shearing operations and the corresponding shearing positions required to perform multi-level slicing on the compressed block are further determined, and a multi-level slicing path is generated; the shearing mechanism performs graded slicing operations along the multi-level slicing path according to the shearing force and shearing frequency to obtain sheared slices with uniform size.

[0034] The step of feeding the sheared sheet as furnace charge into the smelting equipment to obtain recycled metal specifically involves:

[0035] The sheared sheet is characterized by visual recognition device to obtain third feature data, which includes the thickness, length, width and quantity of the sheet.

[0036] Based on the third characteristic data and the feed port size of the smelting equipment, the stacking parameters are calculated to determine the number of stacked sheets in each layer and the number of stacking layers. The mechanical operating mechanism is controlled to arrange the sheared sheets in a staggered stacking manner according to the stacking parameters to form a furnace charge pile, which is then fed into the smelting equipment for smelting to finally obtain recycled metal.

[0037] It should be noted that the beverage box refers to a metal beverage box, including metal beverage boxes such as aluminum cans.

[0038] It should be noted that the preset data rule base stores the correspondence between the characteristics of standard compressed material blocks and the action parameters of the shearing mechanism. The data rule base is constructed in the following way: historical production data is continuously collected, and each set of data includes the characteristic data of standard compressed material blocks and their corresponding shearing action parameters that have been verified to be optimal in practice; the historical data is cleaned and normalized to eliminate dimensional differences and outliers, forming a high-quality training sample set; machine learning algorithms, such as gradient boosting decision trees (GBDT) or neural networks, are used to train the training samples to establish a nonlinear mapping relationship between the characteristics of standard compressed material blocks and the shearing action parameters; after training, the nonlinear mapping relationship model is used as the data rule base for application.

[0039] It should be noted that the shearing force refers to the force applied to the shearing blade by the shearing mechanism; it is mainly used to overcome the shear strength of the material to ensure a clean and efficient cut of the compressed material block. Insufficient force will result in incomplete cutting, burrs, or even failure to cut; excessive force will lead to energy waste, excessive equipment stress, and excessive wear of the blade. This parameter needs to be matched according to the density and hardness of the material block.

[0040] It should be noted that the shearing frequency refers to the number of shearing cycles completed by the shearing mechanism per unit time (e.g., times / minute). This primarily determines production efficiency and thermal management during the shearing process; too high a frequency may affect the matching of loading and unloading rhythms due to excessively fast equipment movement, or cause the blades to overheat during continuous shearing; too low a frequency will affect the processing capacity of the entire production line; the shearing frequency must be coordinated with the overall production line cycle time.

[0041] It's important to note that the shearing stroke refers to the distance the shearing blade travels from its starting position to the completion of the shearing. The shearing stroke directly determines the slice thickness achievable in a single shearing operation and affects the effective utilization of shearing force. The stroke must be precisely calculated and set based on the width of the compressed material block and the preset target slice thickness. A stroke that is too short will not completely cut the material block; a stroke that is too long will result in idle strokes, wasting time and potentially causing discontinuous shearing actions. By controlling the stroke, multi-stage slicing paths can be planned, thereby efficiently cutting the entire material block into multiple slices of uniform thickness.

[0042] This application provides a method for shearing beverage boxes. The method involves collecting first feature data of the beverage box to be processed and controlling a compression device to compress the beverage box into a compressed block based on the first feature data. The method further collects second feature data of the compressed block and matches the second feature data with a preset data rule library to obtain a matching result. Based on the matching result, the method sets the action parameters of the shearing mechanism. Based on the action parameters, the method drives the shearing mechanism to slice the compressed block, and finally obtains sheared pieces suitable as smelting furnace feed.

[0043] Compared with existing technologies that rely solely on fixed pressure for extensive crushing or direct smelting, this application's embodiments achieve precise adjustment of the entire process from compression to shearing of beverage cartons through phased feature data acquisition and parameterized shearing control. This significantly improves the shearing uniformity and smelting adaptability of compressed material blocks, thereby increasing metal recovery rate and reducing energy consumption, resulting in higher processing efficiency and resource utilization value.

[0044] Example 2: As Figure 1 As shown in Example 1, the present application provides a method for cutting beverage cartons, which further includes:

[0045] First, before collecting the first characteristic data of the beverage boxes to be processed, visual inspection is performed on the beverage boxes to identify and sort out abnormal beverage boxes containing non-metallic accessories or contents residue, and only the sorted normal beverage boxes are used as subsequent processing objects; then, the normal beverage boxes are weighed to obtain weighing data, which is used to calculate the quantity range of beverage boxes in the first characteristic data, thereby ensuring the accuracy of raw material data in the subsequent compression process.

[0046] Secondly, during the process of controlling the compression device to compress the beverage carton into compressed blocks based on the first feature data, the method also includes detecting the thickness and density of the compressed blocks, and correcting the initial pressure parameters based on the detection results to obtain target pressure parameters. Specifically, the thickness difference between the thickness of the compressed blocks and a preset thickness threshold is determined, a thickness correction amount is calculated, and the stroke parameter in the initial pressure parameters is corrected using the thickness correction amount to generate target stroke parameters for adjusting the stroke range of the compression device; simultaneously, the density difference between the density of the compressed blocks and a preset density threshold is determined, a density correction amount is calculated, and the compression force in the initial pressure parameters is corrected using the density correction amount to generate target compression force for adjusting the compression force of the compression device; the target stroke parameter and the target compression force together constitute the target pressure parameter, which is used to dynamically adjust the working state of the compression device to ensure that the thickness and density of the compressed blocks meet the shearing requirements.

[0047] Finally, after obtaining the sheared sheet, the method of this application further includes performing a quality inspection on the sheared sheet to obtain the actual density and actual size of each sheared sheet, determining the quality inspection result according to a preset density range and a preset size range, and performing corresponding processing operations based on the quality inspection result, specifically:

[0048] When the actual density of the sheared sheet is within a preset density range and the actual size is within a preset size range, the quality inspection result is determined to be that the sheared sheet is qualified; for qualified sheared sheets, the corresponding third characteristic data is obtained, including the thickness, length, width and quantity of the sheet; according to the third characteristic data, the qualified sheets are stacked to form a furnace charge pile that can be directly input into the smelting equipment;

[0049] When the actual density of the sheared sheet exceeds the preset density range or the actual size exceeds the preset size range, the quality inspection result is determined to be that the sheared sheet is unqualified; a correction signal is generated based on the quality inspection result, and the correction signal is fed back to the compression equipment or the shearing mechanism to adjust the initial pressure parameters of the compression equipment or the action parameters of the shearing mechanism, thereby performing closed-loop control of the shearing quality;

[0050] Set a target time window, count the number of defective sheared pieces within the time window, and calculate the defect rate per unit time period. When the defect rate per unit time period exceeds a preset defect rate threshold, generate an alarm signal. The alarm signal is used to indicate that there may be an abnormality in the shearing blade and trigger the operator to check.

[0051] It should be noted that the beverage box refers to a metal beverage box, including metal beverage boxes such as aluminum cans.

[0052] It should be noted that substandard sheared scrap can be further classified. Specifically, substandard sheared scrap is divided according to the degree of deviation between its actual density and size and the preset acceptable range: for sheared scrap with large deviations, it is piled up to reach the preset weight, then subjected to secondary compression and secondary shearing to bring it to the acceptable standard before being stacked and used as furnace charge; for sheared scrap with small deviations that are close to the acceptable standard, in order to save energy and processing costs, it can be directly fed into the smelting equipment for smelting, with little impact on the smelting process and metal recovery rate. Through this classification and processing method, efficient utilization and cost optimization of substandard scrap are achieved, while ensuring the stability of furnace charge quality and smelting suitability.

[0053] It should be noted that the stacking of qualified sheet metal according to the third characteristic data to form a furnace charge pile that can be directly input into the smelting equipment has the following advantages: By accurately stacking the sheet metal according to its thickness, length, width and quantity, the uniformity, density and height of the furnace charge pile can be guaranteed, thereby achieving the stability and uniformity of the feed to the smelting equipment, reducing the phenomenon of local overheating or uneven melting caused by uneven stacking of sheet metal during the smelting process, improving the metal smelting efficiency and recovery rate, and reducing operator intervention and energy consumption.

[0054] This application provides a method for processing sheared beverage boxes. By sequentially performing steps such as visual inspection and anomaly removal of beverage boxes, acquisition of first feature data, adaptive correction of compression parameters, intelligent matching of shearing action parameters, and quality inspection, classification and feedback correction of sheared pieces, the method achieves precise control over the entire process of beverage boxes from raw material screening to compression shearing and then to the preparation of pieces before smelting. Ultimately, it obtains standardized smelting furnace charge with uniform density, controllable size and low impurity content.

[0055] Compared to existing technologies that rely solely on fixed-pressure compression and direct shearing to crush beverage cartons, this application's embodiment ensures raw material purity by introducing visual inspection and weighing calculations. It corrects compression parameters based on thickness and density differences to guarantee material compaction. Furthermore, it establishes a closed-loop feedback control system through post-shear quality inspection and the classification of substandard sheared pieces: substandard sheared pieces with significant deviations undergo secondary compression or shearing to reach acceptable standards and are then stacked as smelting furnace feed; pieces with smaller deviations and near-acceptable quality can be directly input into the smelting equipment, thus saving energy and processing costs. This method effectively reduces metal oxidation loss during smelting, significantly improves metal recovery rate and smelting efficiency, while reducing energy consumption and extending the service life of compression equipment and shearing mechanisms. It outperforms existing technologies in terms of recovery efficiency, energy efficiency, system stability, and utilization rate of substandard pieces.

[0056] Example 3: As Figure 2 As shown in the embodiment of this application, a beverage carton shearing processing system includes a feature acquisition module, a data processing module, a compression module, a shearing control module, and a melting module. The modules are connected through an industrial bus and a data communication network to achieve real-time information transmission and high-speed command interaction, thereby completing the entire process of beverage carton processing from detection, compression, shearing to melting.

[0057] The feature acquisition module includes a high-speed visual inspection unit, a dynamic weighing unit, a laser rangefinder, and a density measuring device. Specifically, the feature acquisition module is used to: sequentially feed beverage cartons to be processed into the visual inspection unit via a conveyor belt; the visual inspection unit uses an industrial camera combined with a spectral analysis device to perform image recognition and material analysis on the beverage cartons, identifying and removing abnormal cartons containing plastic caps, non-metallic accessories, or residual liquid, ensuring that the purity of the beverage cartons entering subsequent processing stages meets requirements; after sorting, the normal beverage cartons enter the dynamic weighing unit, and the quantity range of the current batch of beverage cartons is calculated by combining the weighing data with the average weight of standard cans, and this quantity range, along with the material type and average size range, forms the first feature data; after compression, the laser rangefinder and the density measuring device simultaneously collect the thickness, length, width, and density information of the compressed material block, generating the second feature data, which is then sent to the data processing module in real time.

[0058] The data processing module is equipped with an edge computing chip and a preset data rule base to receive and analyze first and second feature data from the feature acquisition module. During the compression phase, the data processing module performs calculations on the first feature data based on the edge computing chip to obtain the initial pressure parameters of the compression device. These initial pressure parameters include compression force and stroke parameters. The module then corrects these initial pressure parameters based on the thickness and density differences of the compressed material block to generate target pressure parameters for controlling the compression device. During the shearing phase, the data processing module matches the second feature data with the data rule base to obtain shearing action parameters corresponding to the thickness, density, length, and width of the compressed material block. These shearing action parameters include shearing force, shearing frequency, and shearing stroke. The module then sends these shearing action parameters to the shearing control module to guide the shearing mechanism in performing slicing operations.

[0059] The compression module includes a high-tonnage compression device and a pressure feedback sensing system. The high-tonnage compression device receives target pressure parameters from the data processing module and controls the compression device to perform multi-stage compression of the beverage carton. During compression, the high-tonnage compression device automatically adjusts the compression force and stroke range based on the target pressure parameters to ensure that the compressed material meets preset thresholds in terms of density, thickness, and overall size, thus forming a regular and stable feeding pattern. The pressure feedback sensing system monitors the stress state and compression stroke of the compression device in real time during compression and returns the detection results to the data processing module for dynamic correction and closed-loop control of the compression force, further improving compression accuracy and material consistency. After compression, the high-tonnage compression device unloads the qualified compressed material and transports it to the shearing control module, providing stable and high-density feeding conditions for subsequent shearing operations.

[0060] The shearing control module includes a shearing mechanism, which receives shearing action parameters sent by the data processing module and drives the shearing mechanism. During the shearing process, the shearing control module performs precise slicing of the compressed material block according to the preset slice thickness based on the comprehensive control of shearing force, shearing frequency and shearing stroke. The thickness of the slices obtained by shearing can be stably controlled within the target range (e.g., 50mm ± 2mm), with uniform size and intact surface, which can effectively reduce the oxidation area during the melting process.

[0061] The smelting module includes a charge stacking robotic arm and a smelting furnace. The charge stacking robotic arm automatically plans the stacking path and performs multi-layer staggered stacking based on the actual size of the sheared sheet and the geometric parameters of the smelting furnace inlet, so as to improve the charge density and ensure the uniform heating of the sheet during the smelting process. The smelting furnace receives the stacked sheared sheet as the charge, and performs preheating and melting treatment to obtain high-purity recycled metal.

[0062] It should be noted that the beverage box refers to a metal beverage box, including metal beverage boxes such as aluminum cans.

[0063] This application provides a beverage carton shearing system that, through sequentially performing steps such as high-speed visual inspection and anomaly removal of beverage cartons, first feature data acquisition, adaptive correction of compression parameters, high-tonnage compression, precise shearing of multi-stage compressed material blocks, and optimization of stacking path before smelting during the material processing, achieves full-process informatization and precise control of beverage cartons from raw material screening, compression, shearing to pre-smelting sheet preparation, ultimately obtaining standardized smelting sheets with uniform density, controllable size, intact surface, and high furnace charge density.

[0064] Compared to existing technologies that rely solely on fixed-pressure compression or direct crushing of beverage cartons, this application's embodiments achieve precise control over the purity and quantity of raw materials through high-speed visual inspection and dynamic weighing. The target pressure parameters are adaptively corrected based on differences in the thickness and density of the compressed material blocks, and a closed-loop adjustment is achieved through a pressure feedback sensing system, effectively improving the compaction and consistency of the material blocks. A shearing mechanism cuts the material along a precise slicing path, ensuring uniform sheet size and surface integrity, further reducing the oxidation area during smelting. The stacking robotic arm of the smelting module optimizes the stacking layout based on the actual size of the sheet blocks, increasing the furnace charge density and ensuring uniform heating, thereby significantly improving metal recovery rate and smelting efficiency. Simultaneously, it reduces energy consumption and extends the service life of the compression equipment and shearing mechanism, outperforming existing technologies in terms of recovery efficiency, energy efficiency, and system stability.

[0065] The foregoing has shown and described the basic principles, main features, and advantages of this application. Those skilled in the art should understand that this application is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this application. Various changes and modifications can be made to this application without departing from the spirit and scope thereof, and all such changes and modifications fall within the scope of this application as claimed. The scope of protection of this application is defined by the appended claims and their equivalents.

Claims

1. A method of handling a cut beverage pod, the method comprising: The method comprises: Collecting first feature data of beverage boxes to be processed, and controlling a compression device to compress the beverage boxes into compressed blocks according to the first feature data, the first feature data including a beverage box quantity range, a material type, and an average size interval; Collecting features of the compressed blocks to obtain second feature data, matching the second feature data with a preset data rule library to obtain a matching result, the second feature data including thickness, density, length, and width of the compressed blocks; Setting action parameters of a shearing mechanism according to the matching result, the action parameters including shearing force, shearing frequency, and shearing stroke; Calculating a standard slice quantity obtained by a single shearing operation based on the shearing stroke and the width of the compressed blocks; Obtaining a shearing number and a shearing position of multi-stage slicing of the compressed blocks according to the standard slice quantity and a preset target thickness range of sheared slices, and generating a multi-stage slicing path; Controlling the shearing mechanism to perform a staged slicing operation along the multi-stage slicing path based on the shearing force and the shearing frequency to obtain sheared slices, the sheared slices being used as smelting furnace charge input to a smelting device to obtain recycled metal.

2. The method of claim 1, wherein, The method comprises: Determining a single-batch compressed beverage box quantity based on the first feature data, and determining an initial pressure parameter of the compression device according to the single-batch compressed beverage box quantity and the material type, and controlling the compression device to compress the beverage boxes into initial blocks, the pressure parameter including a compression force for controlling the compression device to compress the beverage boxes to a density required by the compressed blocks, and a stroke parameter for controlling a stroke range of the compression device to ensure that a size of the compressed blocks reaches a preset thickness and length requirement; Collecting features of the initial blocks to obtain second feature data, the second feature data including thickness and density of the initial blocks; If the density of the initial blocks is greater than or equal to a preset density threshold, the initial blocks are used as the compressed blocks; If the density of the initial blocks is less than the preset density threshold, correcting the initial pressure parameter according to the thickness and density of the initial blocks to obtain a target pressure parameter, and driving the compression device to compress the initial blocks according to the target pressure parameter to output a corrected block as the compressed block.

3. The method of claim 2, wherein, The method comprises: Determining a thickness difference between the thickness of the initial block and a preset thickness threshold; Determining a density difference between the density of the initial block and a preset density threshold; Determining a thickness correction amount based on the thickness difference, and correcting the stroke parameter of the initial pressure parameter by the thickness correction amount to generate a target stroke parameter for adjusting a stroke range of the compression device; Determining a density correction amount based on the density difference, and correcting the compression force of the initial pressure parameter by the density correction amount to generate a target compression force for adjusting a compression force of the compression device; The target stroke parameter and the target compression force constitute a target pressure parameter.

4. The method of claim 1, wherein, The matching of the second feature data with the preset data rule library comprises: The data rule library is configured to store the corresponding relationship between standard compression material block features and action parameters of the shearing mechanism, the standard compression material block features including thickness, density, length and width, and the action parameters including shearing force, shearing frequency and shearing stroke; The thickness, density, length and width in the second feature data are respectively compared with the corresponding standard compression material block features in the data rule library to determine the matching degree of each feature; A comprehensive matching score is calculated according to the matching degree and the preset weight of each feature, and a candidate matching result list is generated according to the matching score ranking; The candidate matching result list is screened, and the action parameters corresponding to the standard compression material block features most similar to the second feature data are selected as the final matching result.

5. The method of claim 1, wherein, After the shearing material piece is obtained, the method further comprises: Quality detection is performed on the shearing material piece to obtain the actual density and actual size of the shearing material piece; A quality detection result is determined according to the relationship between the actual density of the shearing material piece and the preset density range and the relationship between the actual size of the shearing material piece and the preset size range; When the quality detection result is that the shearing material piece is qualified, third feature data corresponding to the quality detection qualified shearing material piece is obtained, the third feature data including the thickness, length, width and quantity of the shearing material piece; The shearing material piece is stacked according to the third feature data to form a furnace charge stack that can be directly input into a melting device.

6. The method of claim 5, wherein, The quality detection result is determined according to the relationship between the actual density of the shearing material piece and the preset density range and the relationship between the actual size of the shearing material piece and the preset size range, comprising: When the actual density is within the preset density range and the size is within the preset size range, it is determined that the quality detection result is that the shearing material piece is qualified; When the actual density exceeds the preset density range or the size exceeds the preset size range, it is determined that the quality detection result is that the shearing material piece is unqualified, and a correction signal is generated according to the quality detection result, the correction signal triggering correction of the initial pressure parameter of the compression device or the action parameter of the shearing mechanism.

7. The method of claim 6, wherein, After it is determined that the quality detection result is that the shearing material piece is unqualified, further comprising: A target time window is set, the number of unqualified shearing material pieces in the target time window is counted, and an unqualified rate per unit time period is calculated; When the unqualified rate per unit time period exceeds a preset unqualified rate threshold, an alarm signal is generated, the alarm signal being used to prompt that the shearing blade is abnormal and triggering an operator to check.

8. The method of claim 5, wherein, The shearing material piece is stacked according to the third feature data to form a furnace charge stack that can be directly input into a melting device, comprising: According to the third feature data and the size of the feeding port of the melting device, a stacking parameter is calculated, the stacking parameter including the number of shearing material pieces per layer of stacking, the total number of layers of stacking and the material piece staggering amount between adjacent layers; Based on the stacking parameters, the plurality of the cut pieces are arranged in a staggered stacking manner to form a charge stack which can be directly input into a melting device.

9. The method of claim 1, wherein, Before the first feature data of the beverage boxes to be processed is collected, the method further comprises: performing visual detection on the beverage boxes to identify and sort out abnormal beverage boxes containing non-metal accessories or content residues; weighing the normal beverage boxes after sorting to obtain weighing data, and the weighing data is used to calculate the beverage box quantity range of the first feature data.

10. A sheared beverage carton handling system characterized in that, The system comprises: a feature collection module configured to collect feature data of materials to be processed, and input the feature data into a data processing module, the materials to be processed including beverage boxes to be processed and compressed blocks, the feature data including first feature data and second feature data, the first feature data being obtained by collecting the beverage boxes to be processed, including beverage box quantity range, material type and average size interval, and the second feature data being obtained by collecting the compressed blocks, including thickness, density, length and width information of the compressed blocks; a data processing module configured to receive the feature data from the feature collection module, the feature data including the first feature data and the second feature data, calculate a pressure parameter of a compression device according to the first feature data, send the pressure parameter to a compression module, match the second feature data with a preset data rule library to obtain a matching result, set action parameters of a shearing mechanism according to the matching result, and send the action parameters to a shearing control module, the action parameters including shearing force, shearing frequency and shearing stroke; a compression module configured to receive the pressure parameter from the data processing module, control the compression device to compress the beverage boxes into compressed blocks according to the pressure parameter, and input the compressed blocks into the shearing control module; a shearing control module configured to receive the action parameters of the data processing module and the compressed blocks of the compression module, control the shearing mechanism according to the action parameters, and shear the compressed blocks to obtain cut pieces; a melting module configured to receive the cut pieces from the shearing control module, melt the cut pieces as a charge for a melting process, and output recycled metal.

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