Method and system for constructing an assembled environmental protection cabinet by using aluminum-zinc plate with multi-channel hem

Abstract

This invention relates to the field of shell assembly technology, and discloses a method and system for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges. The method includes: performing graphic analysis on an acquired environmental protection cabinet design scheme to obtain a shell structure diagram and shell description information; performing feature extraction operations on the shell structure diagram, aluminum-zinc plate information, and shell description information to obtain a shell structure feature set, a plate feature set, and a shell description feature set, respectively; analyzing the shell structure feature set to obtain a set of splicable areas; performing stress requirement simulation analysis on the shell structure diagram to obtain a set of stress requirement features; and performing folded edge pattern recognition operations on the set of splicable areas based on the plate feature set, shell description feature set, and stress requirement feature set to obtain the folded edge pattern results corresponding to each splicable area in the set of splicable areas, thereby enabling production and installation. This invention can reduce plate consumption and improve the assembly quality of the environmental protection cabinet shell.

Description

Technical Field

[0001] This invention relates to the field of shell assembly technology, and in particular to a method and system for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges. Background Technology

[0002] An environmentally friendly cabinet, short for an environmentally friendly gas-insulated ring main unit, uses environmentally friendly gas as the insulating medium to store electrical equipment. It boasts excellent insulation performance and environmentally friendly characteristics, improving equipment safety and lifespan. With the widespread application of environmentally friendly cabinets, they now feature a modular design, allowing for customization to meet different power needs and application environments, providing personalized solutions. They can be easily expanded and upgraded as needed, and the modular design also facilitates transportation.

[0003] However, modular design also transforms the outer shell of the eco-friendly cabinet from a traditional monolithic structure to a multi-panel splicing structure. To ensure that the joints of the panels meet national standards, multiple folds are often used to increase the thickness of the joints, thereby improving their rigidity and stability. However, there are no standardized procedures for the number of bends and the angle of the folds during the multiple folding process; the design relies entirely on the subjective experience of technicians, which may result in wasted materials and failure to meet safety standards. Summary of the Invention

[0004] This invention provides a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds, the main purpose of which is to reduce material consumption and improve the assembly quality of the environmental protection cabinet shell.

[0005] To achieve the above objectives, the present invention provides a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges, comprising:

[0006] Obtain the design scheme of the eco-friendly cabinet, and perform image and text classification on the eco-friendly cabinet design scheme to obtain image data and text data;

[0007] Image recognition is performed on the image data to obtain a structural diagram of the environmental protection cabinet shell, and text recognition is performed on the text data based on preset shell size, usage environment and functional description to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution;

[0008] Using a pre-trained splicing structure recognition model, feature extraction operations are performed on the shell structure diagram and shell description information of the environmental protection cabinet to obtain the shell structure feature set and shell description feature set, respectively. Then, the splicing position recognition operation is performed based on the shell structure feature set to obtain the splicable area set.

[0009] Obtain aluminum-zinc sheet material information, and perform material feature extraction operation on the aluminum-zinc sheet material information to obtain a material feature set;

[0010] Based on the structural diagram of the environmental protection cabinet shell, a stress requirement simulation analysis is performed on the set of splicable areas to obtain a set of stress requirement characteristics;

[0011] Based on the set of plate features, the set of shell description features, and the set of stress requirements features, the edge pattern recognition operation is performed on the set of splicable areas to obtain the edge pattern results corresponding to each splicable area in the set of splicable areas.

[0012] Based on the folding pattern results corresponding to each splicable area, the pre-constructed aluminum-zinc plate is folded to produce the assembled environmental protection cabinet shell.

[0013] Optionally, the step of performing image and text classification on the environmental protection cabinet design scheme to obtain image data and text data includes:

[0014] The design scheme of the eco-friendly cabinet was scanned to obtain a long image introducing the eco-friendly cabinet;

[0015] The long image of the environmental protection cabinet is subjected to data cleaning based on a preset preprocessing strategy to obtain a standardized image;

[0016] The normalized image is subjected to edge detection using a pre-built Canny operator to obtain edge detection results, and the normalized image is then segmented based on the edge detection results to obtain a set of region blocks.

[0017] Object classification and recognition operations are performed on each region block in the set of region blocks to obtain text data and image data.

[0018] Optionally, the step of performing image recognition on the image data to obtain a structural diagram of the environmental protection cabinet shell includes:

[0019] The image data is classified by object type to obtain a set of image objects, and images of the eco-friendly cabinet type are selected from the set of image objects to obtain a set of eco-friendly cabinet images;

[0020] Perform environmental protection cabinet structure recognition operation on each environmental protection cabinet image in the environmental protection cabinet image set to obtain the environmental protection cabinet partial structure corresponding to each environmental protection cabinet image;

[0021] The key endpoints of each environmental protection cabinet are identified to obtain the key endpoint positions of each part of the structure. Based on the key endpoint positions, the intersection and union operations of each part of the environmental protection cabinet are performed to obtain the shell structure diagram of the environmental protection cabinet.

[0022] Optionally, the step of performing text recognition on the text data based on preset shell size, usage environment, and functional description to obtain shell description information includes:

[0023] The text data is subjected to a text quantization operation based on self-attention configuration to obtain a context-enhanced text quantization sequence;

[0024] Text feature extraction is performed on the context-enhanced text quantization sequence to obtain a text feature set, and semantic recognition is performed on the text feature set to obtain a semantic recognition result set.

[0025] The semantic recognition result set is subjected to text filtering based on preset shell size, usage environment and functional description to obtain shell description information.

[0026] Optionally, before utilizing the pre-trained splicing structure recognition model, the method further includes:

[0027] Extract one historical environmental protection cabinet from the pre-built collection of historical environmental protection cabinet projects, and obtain the historical structural diagram, splicing and folding design, board numerical parameters, application environment and functional distribution of the historical environmental protection cabinet.

[0028] Physical testing was conducted on the aforementioned historical environmental protection cabinet to obtain actual stress test data for the spliced ​​and folded edge design.

[0029] Using a pre-built finite element analysis service, stress measurement data for the splicing and folding design are generated based on the historical structural diagrams and plate numerical parameters.

[0030] Based on the application environment and functional distribution, the stress measurement data is weighted according to performance requirements to obtain stress requirement prediction data.

[0031] Calculate the difference between the actual stress test data and the predicted stress demand data, and calculate the ratio of the difference data to the predicted stress demand data to obtain the performance waste ratio of the splicing and folding edge design;

[0032] Using the historical structural diagram, material numerical parameters, application environment, and functional distribution as keys, and the splicing and folding design and performance waste ratio as values, key-value pair samples are constructed.

[0033] By summing up all the key-value pairs corresponding to the historical environmental protection cabinets in the aforementioned project set, a training sample set is obtained.

[0034] Using a pre-built splicing structure recognition model, and based on a pre-built regularized loss function, machine learning is performed on the training sample set to obtain the network parameter relationship based on environmental cabinet design, splicing structure design, and performance waste.

[0035] By minimizing the network parameter relationships based on the performance waste ratio, a splicing structure recognition model based on the environmental protection cabinet design and splicing structure design is obtained.

[0036] Optionally, the regularization loss function is expressed as:

[0037] ;

[0038] In the formula, This represents the regularization loss function. This indicates the number of samples in the training sample set. Indicates the first The actual performance waste ratio of each sample Indicates the first The performance waste ratio of each sample This represents the parameters of the network model to be trained. This represents the minimum value. Represents the regularization parameter. This represents the L2 regularization symbol.

[0039] Optionally, the step of performing edge pattern recognition on the set of splicable regions based on the set of plate features, the set of shell description features, and the set of stress requirements features to obtain the edge pattern results corresponding to each splicable region in the set of splicable regions includes:

[0040] The plate feature set and stress requirement feature set are used to identify the plate folding style to obtain the primary available folding method set corresponding to each splicable area in the splicable area set;

[0041] Based on the shell description feature set, the performance requirement configuration of each splicable area is identified, and based on the performance requirement configuration of each splicable area, the style constraint is applied to the primary available folding method set corresponding to each splicable area to obtain the available folding method set of each splicable area.

[0042] Based on the pre-constructed edge folding style cost table, the edge folding cost of each edge folding method in each available edge folding method set is calculated to obtain the edge folding cost set. The edge folding cost set is then subjected to a minimum cost filtering operation to obtain the edge folding style results corresponding to each splicable area.

[0043] Optionally, the step of performing sheet metal folding production on the pre-constructed aluminum-zinc plate according to the folding pattern results corresponding to each splicable area to obtain the assembled environmental protection cabinet shell includes:

[0044] Extract any splicable region from the set of splicable regions, obtain the folding style result of the splicable region, and calculate the folding material consumption of the splicable region based on the folding style result;

[0045] Using the aforementioned folding material, a material area is added to the splicable area to obtain a cuttable aluminum-zinc sheet area;

[0046] According to the cuttable aluminum-zinc sheet area, the pre-constructed aluminum-zinc sheet is cut to obtain the sheet to be folded.

[0047] Summarize all the boards to be folded corresponding to all the splicable areas in the splicable area set to obtain the board to be folded set;

[0048] Based on the folding pattern results corresponding to each splicable area, the set of boards to be folded is folded to obtain a set of boards to be assembled, and the set of boards to be assembled is assembled to obtain the assembled environmental protection cabinet shell.

[0049] Optionally, after obtaining the folding style results corresponding to each splicable region in the set of splicable regions, the method further includes:

[0050] Obtain the distribution of each splicable region in the set of splicable regions on the shell structure diagram of the environmental protection cabinet to obtain the installation distribution diagram;

[0051] By utilizing the folding pattern results corresponding to each splicable area, the installation distribution diagram is visually marked to obtain an assembly instruction diagram of the environmental protection cabinet shell.

[0052] To achieve the above objectives, the present invention also provides a modular environmental protection cabinet system constructed using aluminum-zinc plates with multiple folded edges, comprising:

[0053] An eco-friendly cabinet design recognition module is used to acquire eco-friendly cabinet design schemes, perform image and text classification on the eco-friendly cabinet design schemes to obtain image data and text data, perform image recognition on the image data to obtain an eco-friendly cabinet shell structure diagram, and perform text recognition on the text data based on preset shell dimensions, usage environment and functional descriptions to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution;

[0054] The splicable area recognition module is used to perform feature extraction operations on the shell structure diagram and shell description information of the environmental protection cabinet using a pre-trained splicing structure recognition model, to obtain the shell structure feature set and the shell description feature set respectively, and to perform splicing position recognition operation based on the shell structure feature set to obtain the splicable area set.

[0055] The edge folding pattern recognition module is used to acquire aluminum-zinc plate information, perform plate feature extraction on the aluminum-zinc plate information to obtain a plate feature set, and perform stress requirement simulation analysis on the set of splicable areas according to the environmental protection cabinet shell structure diagram to obtain a stress requirement feature set. Based on the plate feature set, shell description feature set, and stress requirement feature set, the module performs edge folding pattern recognition on the set of splicable areas to obtain the edge folding pattern result corresponding to each splicable area in the set of splicable areas.

[0056] The edge-folding production module is used to fold the pre-constructed aluminum-zinc plates according to the edge-folding style results corresponding to each splicable area, so as to obtain the assembled environmental protection cabinet shell.

[0057] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0058] Memory, storing at least one instruction;

[0059] The processor executes the instructions stored in the memory to implement the above-described method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds.

[0060] To address the aforementioned issues, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the method described above for constructing an assembled environmentally friendly cabinet using aluminum-zinc plates with multiple folded edges.

[0061] To address the problems described in the background section, this invention first scans the environmentally friendly cabinet design scheme approved by the enterprise to obtain text and image data. Then, it extracts the cabinet shell structure diagram from the image data and the shell description information from the text data. Next, a pre-trained splicing structure recognition model identifies the areas to be spliced ​​in the cabinet shell structure diagram. Based on the aluminum-zinc plate information, it identifies the plate feature set; based on the cabinet shell structure diagram, it identifies the stress requirement feature set. Finally, it identifies the folding style using the plate feature set, stress requirement feature set, and shell description information to obtain the folding style result. The splicing structure recognition model undergoes machine learning to understand the mechanical analysis of each folding style in the environmentally friendly cabinet, thus ensuring the selection of folding styles with the lowest material cost while meeting customer quality requirements. Therefore, this invention can improve and reduce plate consumption and enhance the assembly quality of the environmentally friendly cabinet shell. Attached Figure Description

[0062] Figure 1 This is a flowchart illustrating a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges, according to an embodiment of the present invention.

[0063] Figure 2 This is a structural diagram of the assembled environmental protection cabinet shell provided by an embodiment of the present invention, which utilizes aluminum-zinc plates with multiple folded edges to construct an assembled environmental protection cabinet.

[0064] Figure 3 This is a functional module diagram of an embodiment of the present invention, showing a modular environmental protection cabinet system constructed using aluminum-zinc plates with multiple folded edges.

[0065] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the method of constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges, according to an embodiment of the present invention.

[0066] Figure label explanation:

[0067] 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0068] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0069] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0070] This application provides a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds. The execution entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0071] Reference Figure 1 The diagram shown is a flowchart illustrating a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds, according to an embodiment of the present invention. In this embodiment, the method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds includes:

[0072] S1. Obtain the design scheme of the environmental protection cabinet, and perform image and text classification on the design scheme to obtain image data and text data.

[0073] It should be understood that environmental protection cabinets are designed to ensure the safety and extend the lifespan of electrical equipment. To adapt to different electrical equipment and environments, most have customized designs. Therefore, it is usually necessary to communicate through the design plan of the environmental protection cabinet. Once the customer approves the design, the company can put it into production according to the design plan.

[0074] The design scheme of the environmental protection cabinet generally includes information such as product overview, product features, shell dimensions, usage environment, three-view drawings of the product, and structural part drawings.

[0075] In detail, in this embodiment of the invention, the step of performing image and text classification on the environmental protection cabinet design scheme to obtain image data and text data includes:

[0076] The design scheme of the eco-friendly cabinet was scanned to obtain a long image introducing the eco-friendly cabinet;

[0077] The long image of the environmental protection cabinet is subjected to data cleaning based on a preset preprocessing strategy to obtain a standardized image;

[0078] The normalized image is subjected to edge detection using a pre-built Canny operator to obtain edge detection results, and the normalized image is then segmented based on the edge detection results to obtain a set of region blocks.

[0079] Object classification and recognition operations are performed on each region block in the set of region blocks to obtain text data and image data.

[0080] The preprocessing strategy includes image noise reduction and grayscale measurement, which is used to reduce the pixel count of long images of environmental protection cabinets to obtain standardized images, facilitating subsequent calculations.

[0081] The Canny operator is an algorithm for image edge detection that can effectively detect edges in an image while maintaining good noise suppression capabilities.

[0082] Specifically, in this embodiment of the invention, the design scheme of the environmental protection cabinet is generally in electronic or paper form, and a long image introducing the environmental protection cabinet can be obtained through optical scanning or long image screenshotting. Then, the Canny operator is used to perform edge detection on the normalized image to obtain the edge detection result. Then, the image is segmented according to the edge detection result to obtain a set of region blocks, wherein the set of region blocks includes [POS: (1425, 1140) is a region block, POS: (574, 655) is a region block, ...]. Then, each region block is classified into objects (text and image) to obtain text data and image data. For example, the region block of POS: (574, 655) is image data, and the region block of POS: (1425, 1140) is text data.

[0083] S2. Perform image recognition on the image data to obtain a structural diagram of the environmental protection cabinet shell, and perform text recognition on the text data based on preset shell size, usage environment and functional description to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution.

[0084] In this embodiment of the invention, the specific details of the environmental protection cabinet design are as follows:

[0085] 1) Product Introduction:

[0086] This product series features promotional phrases such as…

[0087] 2) Product Features:

[0088] The air box contains functional terms such as...

[0089] 3) Casing dimensions:

[0090] like Figure 2 The shell image is shown below; specific parameters are shown in Table 1 below:

[0091]

[0092] Table 1

[0093] Table 1 shows the detailed shell dimensions.

[0094] 4) Usage environment:

[0095] Ambient temperature: -10~40℃, Humidity: Daily average relative humidity 95%, monthly average relative humidity 90%, altitude 1000m, Location: Indoor, low dust and no explosive or corrosive gases.

[0096] In detail, in this embodiment of the invention, the step of performing image recognition on the image data to obtain a structural diagram of the environmental protection cabinet shell includes:

[0097] The image data is classified by object type to obtain a set of image objects, and images of the eco-friendly cabinet type are selected from the set of image objects to obtain a set of eco-friendly cabinet images;

[0098] Perform environmental protection cabinet structure recognition operation on each environmental protection cabinet image in the environmental protection cabinet image set to obtain the environmental protection cabinet partial structure corresponding to each environmental protection cabinet image;

[0099] The key endpoints of each environmental protection cabinet are identified to obtain the key endpoint positions of each part of the structure. Based on the key endpoint positions, the intersection and union operations of each part of the environmental protection cabinet are performed to obtain the shell structure diagram of the environmental protection cabinet.

[0100] The structure of the eco-friendly cabinet refers to the structure of the eco-friendly cabinet inferred from a single image.

[0101] The intersection and union operation refers to retaining one of the repeated structures in each environmental protection cabinet and adding the non-repeated structures to make the environmental protection cabinet structure complete.

[0102] In this embodiment of the invention, the image data is first classified by object type to obtain an image object set, such as [company logo, designer introduction image, factory area introduction image, shell exterior image, shell structure image, etc.]. This invention needs to filter the environmental protection cabinet type in the image object set to obtain an environmental protection cabinet image set, such as [cabinet exterior image, shell structure image (three views)].

[0103] In this embodiment of the invention, the images of the outer shell of each environmental protection cabinet in the image set are presented from different angles, thus resulting in individual environmental protection cabinet structures. To construct a complete three-dimensional structure diagram, it is necessary to identify key endpoints and obtain their positions, such as landing points, vertices, and corner positions. After finding common key endpoint positions, the intersection and union structures can be superimposed based on the positions of the key endpoints in the outer shell images to obtain the environmental protection cabinet shell structure diagram (three-dimensional structure).

[0104] In detail, in this embodiment of the invention, the step of performing text recognition on the text data based on preset shell size, usage environment, and functional description to obtain shell description information includes:

[0105] The text data is subjected to a text quantization operation based on self-attention configuration to obtain a context-enhanced text quantization sequence;

[0106] Text feature extraction is performed on the context-enhanced text quantization sequence to obtain a text feature set, and semantic recognition is performed on the text feature set to obtain a semantic recognition result set.

[0107] The semantic recognition result set is subjected to text filtering based on preset shell size, usage environment and functional description to obtain shell description information.

[0108] The self-attention configuration (text self-attention) is a mechanism commonly used in natural language processing tasks to enhance a model's understanding of input text. Its key feature is its ability to capture the dependencies between any two positions in an input sequence without relying on a fixed window size. In this embodiment of the invention, due to layout issues, there are positional distances between various text data points, but their content may be related. Therefore, a self-attention mechanism is needed to enhance the context within and between text data points, resulting in a context-enhanced text quantization sequence. The text quantization operation refers to converting text characters into vector-encoded characters, for example, using a one-hot encoding algorithm or Word2Vec.

[0109] Then, text features are extracted using pre-constructed convolutional and pooling layers to obtain a text feature set. A fully connected network is then used for semantic recognition to obtain a semantic recognition result set. Finally, the shell description information is extracted by classifying data based on preset data types, such as shell size, usage environment, and functional descriptions. Note that the functional descriptions are not product quality claims, but rather the functional zoning of various areas of the eco-friendly cabinet, such as the sealing area and the contact area. The convolutional, pooling, and fully connected layers are common structures in neural network text processing and will not be elaborated upon here.

[0110] S3. Using a pre-trained splicing structure recognition model, feature extraction operations are performed on the shell structure diagram and shell description information of the environmental protection cabinet to obtain the shell structure feature set and shell description feature set respectively. Then, the splicing position recognition operation is performed based on the shell structure feature set to obtain the splicable area set.

[0111] The splicing structure recognition model is a neural network model based on image and text dual data processing. It is used to analyze the folding style of each area to be spliced, which meets the quality standards and has the lowest folding material cost, based on the environmental cabinet shell structure diagram, aluminum-zinc plate information and shell description information.

[0112] The folding style refers to different types of multi-folding technology, such as folding once, folding twice, bending angle, etc. Different folding styles may be related to factors such as load-bearing capacity, sealing performance, and internal pressure of the shell.

[0113] In detail, in this embodiment of the invention, before using the pre-trained spliced ​​structure recognition model, the method further includes:

[0114] Extract one historical environmental protection cabinet from the pre-built collection of historical environmental protection cabinet projects, and obtain the historical structural diagram, splicing and folding design, board numerical parameters, application environment and functional distribution of the historical environmental protection cabinet.

[0115] Physical testing was conducted on the aforementioned historical environmental protection cabinet to obtain actual stress test data for the spliced ​​and folded edge design.

[0116] Using a pre-built finite element analysis service, stress measurement data for the splicing and folding design are generated based on the historical structural diagrams and plate numerical parameters.

[0117] Based on the application environment and functional distribution, the stress measurement data is weighted according to performance requirements to obtain stress requirement prediction data.

[0118] Calculate the difference between the actual stress test data and the predicted stress demand data, and calculate the ratio of the difference data to the predicted stress demand data to obtain the performance waste ratio of the splicing and folding edge design;

[0119] Using the historical structural diagram, material numerical parameters, application environment, and functional distribution as keys, and the splicing and folding design and performance waste ratio as values, key-value pair samples are constructed.

[0120] By summing up all the key-value pairs corresponding to the historical environmental protection cabinets in the aforementioned project set, a training sample set is obtained.

[0121] Using a pre-built splicing structure recognition model, and based on a pre-built regularized loss function, machine learning is performed on the training sample set to obtain the network parameter relationship based on environmental cabinet design, splicing structure design, and performance waste.

[0122] By minimizing the network parameter relationships based on the performance waste ratio, a splicing structure recognition model based on the environmental protection cabinet design and splicing structure design is obtained.

[0123] The aforementioned historical environmental protection cabinet project collection refers to the data information of various types and models of environmental protection cabinets that the company has produced and tested in the past, including shell material, environmental type, design structure, etc.

[0124] The physical inspection mentioned above is different from software inspection; it involves using testing equipment such as motor disconnection or vibration machine to obtain actual measurement data.

[0125] Finite Element Analysis (FEA) is a numerical computation technique used to simulate and analyze complex engineering and physical problems. This invention utilizes FEA to predict the minimum force measurement data required for the area to be spliced, ensuring product quality compliance.

[0126] The regularized loss function refers to a loss function with added regularization parameters, including the conventional loss function for regression prediction, a regularization term, and an optimization term. The regularization term prevents overfitting, while the optimization term effectively predicts the performance waste ratio of the spliced ​​edge design. This ensures the regularized loss function guarantees the model can accurately predict the performance waste ratio of the spliced ​​structure of the environmentally friendly cabinet. In practical design, this leads to more efficient resource utilization and reduced waste. Through optimization algorithms such as backpropagation and gradient descent, the model parameters can be gradually updated to minimize the loss function.

[0127] Specifically, in this embodiment of the invention, the historical structural diagram, splicing and folding design, board numerical parameters, application environment, and functional distribution of each historical environmental protection cabinet are obtained from the historical environmental protection cabinet project collection. Then, the physical test results of the historical environmental protection cabinet are obtained to acquire actual stress test data; and through finite element analysis services, the minimum load-bearing capacity of each area to be spliced ​​in the historical structural diagram is analyzed to obtain stress measurement data, which includes not only load-bearing capacity but also parameters such as bending strength.

[0128] Furthermore, in this embodiment of the invention, depending on the application environment and functional distribution, for example, if a certain area needs to be grounded, parameters such as corrosion resistance and load-bearing capacity need to be weighted accordingly, while if the function of a certain area is to store environmentally friendly gases, the parameters of the airtight layer need to be weighted accordingly, and finally the stress demand prediction data is obtained.

[0129] Furthermore, in this embodiment of the invention, by comparing the predicted stress demand data with the actual stress test data, it can be determined whether the splicing and folding edge design of the historical environmental protection cabinet in each area to be spliced ​​is appropriate. When the difference data is positive, it indicates good quality, while when the difference data is negative, it indicates unqualified quality. The larger the difference data, the more folding material is wasted. This invention obtains the performance waste ratio of the splicing and folding edge design by calculating the ratio of the difference data to the predicted stress demand data. Then, the performance waste ratio can be used as an evaluation label for the splicing and folding edge design. The historical structural diagram, board numerical parameters, application environment, and functional distribution are used as keys, and the splicing and folding edge design and performance waste ratio are used as values ​​to construct key-value pair samples, and then summarize them to obtain a training sample set.

[0130] In detail, in this embodiment of the invention, the regularization loss function is expressed as:

[0131] ;

[0132] In the formula, This represents the regularization loss function. This indicates the number of samples in the training sample set. Indicates the first The actual performance waste ratio of each sample Indicates the first The performance waste ratio of each sample This represents the parameters of the network model to be trained. This represents the minimum value. Represents the regularization parameter. This represents the L2 regularization symbol.

[0133] Specifically, in this embodiment of the invention, an initialized splicing structure recognition model is used to perform machine learning on the training sample set. First, a splicing edge design is predicted using the historical designs of environmental protection cabinets in the training samples. Then, it is checked whether the difference between the predicted splicing edge design and the actual splicing edge design is equal to the performance waste ratio. The model is trained using a conventional loss function and a regularization term, enabling it to learn the network parameter relationship between environmental protection cabinet design, splicing structure design, and performance waste. Then, through optimization, a minimization operation is performed to obtain the splicing structure recognition model of environmental protection cabinet design and splicing structure design. Thus, the splicing structure recognition model, based on the analysis of the environmental protection cabinet design, results in the lowest board waste rate for the splicing structure design.

[0134] Furthermore, in this embodiment of the invention, the neural network in the trained splicing structure recognition model performs feature extraction operations on the environmental protection cabinet shell structure diagram and shell description information to obtain a shell structure feature set and a shell description feature set, respectively. Then, based on the shell structure feature set, a splicing position recognition operation is performed to obtain a set of splicable areas. Feature extraction and recognition are standard functions of neural networks, and specific functions, such as the splicing position recognition function, can be achieved through simple training. The shell structure feature set includes, for example, the number of faces of the environmental protection cabinet, the height of each face, the number of shelves in the cabinet, and the number of spaces contained in the cabinet. The shell description feature set describes the upper, middle, and lower uses of the environmental protection cabinet, such as instrument access in the upper layer and sealing of environmentally friendly gases in the middle layer.

[0135] S4. Obtain aluminum-zinc plate information, and perform plate feature extraction operation on the aluminum-zinc plate information to obtain plate feature set.

[0136] The aluminum-zinc plate information is a table that records information about the aluminum-zinc plate.

[0137] Specifically, in this embodiment of the invention, the information of the aluminum-zinc plate includes the aluminum-zinc alloy ratio, plate hardness, load-bearing capacity, bending strength, corrosion resistance, plate thickness, etc.

[0138] In this embodiment of the invention, feature extraction of aluminum-zinc sheet material information is performed using a neural network, which can easily yield a set of sheet material features.

[0139] S5. Based on the structural diagram of the environmental protection cabinet shell, perform stress requirement simulation analysis on the set of splicable areas to obtain a set of stress requirement characteristics.

[0140] In this embodiment of the invention, some capabilities of the FEA service are transferred and learned. Virtual modeling can be performed based on the shell structure diagram of the environmental protection cabinet to obtain the environmental protection cabinet model. Then, the minimum force and direction that each area to be spliced ​​in the environmental protection cabinet model needs to bear are predicted to obtain the set of force requirement features.

[0141] S6. Based on the set of plate features, the set of shell description features, and the set of stress requirements features, perform a folding pattern recognition operation on the set of splicable areas to obtain the folding pattern results corresponding to each splicable area in the set of splicable areas.

[0142] In detail, in this embodiment of the invention, the step of performing a folding pattern recognition operation on the set of splicable regions based on the set of plate features, the set of shell description features, and the set of stress requirements features to obtain the folding pattern result corresponding to each splicable region in the set of splicable regions includes:

[0143] The plate feature set and stress requirement feature set are used to identify the plate folding style to obtain the primary available folding method set corresponding to each splicable area in the splicable area set;

[0144] Based on the shell description feature set, the performance requirement configuration of each splicable area is identified, and based on the performance requirement configuration of each splicable area, the style constraint is applied to the primary available folding method set corresponding to each splicable area to obtain the available folding method set of each splicable area.

[0145] Based on the pre-constructed edge folding style cost table, the edge folding cost of each edge folding method in each available edge folding method set is calculated to obtain the edge folding cost set. The edge folding cost set is then subjected to a minimum cost filtering operation to obtain the edge folding style results corresponding to each splicable area.

[0146] The performance requirements mentioned refer to whether there are other performance requirements besides the load-bearing and bending strength required by the board structure itself. For example, if the environmental protection cabinet needs to be pressurized, it needs to have higher pressure resistance; if the environmental protection cabinet needs to be sealed, it needs to have better sealing performance.

[0147] Specifically, in this embodiment of the invention, the folding style of the board material is first identified based on the trained splicing structure recognition model. During the folding style identification process, a preliminary set of available folding methods corresponding to each splicable area in the set of splicable areas can be obtained. If a 90° bend, a single fold, and a double fold represent 30 points, 60 points, and 90 points respectively, then if the model's predicted stress requirement is 50 points, the style can only be constrained to a single or double folding method. However, the performance waste ratio of a double fold is significantly greater than that of a single fold. Therefore, based on the training parameters that minimize the performance waste ratio, a single fold is selected for output. This invention can construct more levels, such as 30 points and 35 points, thereby more accurately locating the folding style.

[0148] In detail, in this embodiment of the invention, after obtaining the folding style results corresponding to each splicable region in the splicable region set, the method further includes:

[0149] Obtain the distribution of each splicable region in the set of splicable regions on the shell structure diagram of the environmental protection cabinet to obtain the installation distribution diagram;

[0150] By utilizing the folding pattern results corresponding to each splicable area, the installation distribution diagram is visually marked to obtain an assembly instruction diagram of the environmental protection cabinet shell.

[0151] The distribution of each splicable area on the environmental protection cabinet shell structure diagram can be marked with a dark color, while the installation distribution diagram can be visually marked with symbols such as welding and screws.

[0152] Specifically, in this embodiment of the invention, the splicable areas of the environmental protection cabinet shell structure diagram can be marked to obtain an installation distribution diagram. Then, the results of each folded edge style can be visually marked to obtain an assembly instruction manual for the environmental protection cabinet shell, which facilitates installation by installation technicians.

[0153] S7. Based on the folding pattern results corresponding to each splicable area, the pre-constructed aluminum-zinc plate is folded to produce the assembled environmental protection cabinet.

[0154] In detail, in this embodiment of the invention, the step of producing a pre-constructed aluminum-zinc plate by folding edges according to the folding pattern results corresponding to each splicable area to obtain the assembled environmental protection cabinet shell includes:

[0155] Extract any splicable region from the set of splicable regions, obtain the folding style result of the splicable region, and calculate the folding material consumption of the splicable region based on the folding style result;

[0156] Using the aforementioned folding material, a material area is added to the splicable area to obtain a cuttable aluminum-zinc sheet area;

[0157] According to the cuttable aluminum-zinc sheet area, the pre-constructed aluminum-zinc sheet is cut to obtain the sheet to be folded.

[0158] Summarize all the boards to be folded corresponding to all the splicable areas in the splicable area set to obtain the board to be folded set;

[0159] Based on the folding pattern results corresponding to each splicable area, the set of boards to be folded is folded to obtain a set of boards to be assembled, and the set of boards to be assembled is assembled to obtain the assembled environmental protection cabinet shell.

[0160] In this embodiment of the invention, only the seamlessly connected regular boards are visible in the structural diagram of the environmental protection cabinet shell. The specific splicing and folding patterns are not shown. Therefore, the boards cannot be cut according to the values ​​in the structural diagram of the environmental protection cabinet shell. A certain amount of allowance needs to be reserved according to the splicing and folding patterns for multiple folding operations.

[0161] The increase in the consumable area refers to adding some sheet material operations for folding edges outside the designed sheet material size range.

[0162] Specifically, in this embodiment of the invention, the folding material consumption is calculated based on the folding pattern result, and then added at the corresponding position in the environmental protection cabinet shell structure diagram to obtain a cuttable aluminum-zinc plate area. The plate can then be processed by a pre-built cutting machine, and then the folding machine is used to perform the folding operation to obtain a set of splicable plates to be assembled. Finally, the plates are installed according to the environmental protection cabinet assembly instructions diagram to obtain a modular environmental protection cabinet.

[0163] To address the problems described in the background section, this invention first scans the environmental protection cabinet design scheme approved by the enterprise to obtain text and image data. Then, it extracts the cabinet shell structure diagram from the image data and the shell description information from the text data. Next, a pre-trained splicing structure recognition model identifies the areas to be spliced ​​in the cabinet shell structure diagram. Based on the aluminum-zinc plate information, it identifies the plate feature set; based on the cabinet shell structure diagram, it identifies the stress requirement feature set. Finally, it identifies the folding style using the plate feature set, stress requirement feature set, and shell description information to obtain the folding style result. The splicing structure recognition model undergoes machine learning to understand the mechanical analysis of each folding style in the environmental protection cabinet, thus ensuring the selection of folding styles with the lowest material cost while meeting customer quality requirements. Therefore, this invention can improve and reduce plate consumption and enhance the assembly quality of environmental protection cabinets.

[0164] like Figure 3The diagram shown is a functional module diagram of an assembled environmental protection cabinet system constructed using aluminum-zinc plates with multiple folded edges, according to an embodiment of the present invention.

[0165] The modular environmental protection cabinet system 100 constructed from aluminum-zinc plates with multiple folded edges, as described in this invention, can be installed in electronic devices. Depending on the functions implemented, the modular environmental protection cabinet system 100 may include an environmental protection cabinet design identification module 101, a splicable area identification module 102, a folded edge style identification module 103, and a folded edge production module 104. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0166] The eco-friendly cabinet design recognition module 101 is used to acquire eco-friendly cabinet design schemes, perform image and text classification on the eco-friendly cabinet design schemes to obtain image data and text data, perform image recognition on the image data to obtain eco-friendly cabinet shell structure diagrams, and perform text recognition operations on the text data based on preset shell dimensions, usage environment and functional descriptions to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution;

[0167] The splicable area recognition module 102 is used to perform feature extraction operations on the shell structure diagram and shell description information of the environmental protection cabinet using a pre-trained splicing structure recognition model, to obtain the shell structure feature set and the shell description feature set respectively, and to perform the splicing position recognition operation based on the shell structure feature set to obtain the splicable area set.

[0168] The folding pattern recognition module 103 is used to acquire aluminum-zinc plate information, perform plate feature extraction on the aluminum-zinc plate information to obtain a plate feature set, and perform stress requirement simulation analysis on the set of splicable areas according to the environmental protection cabinet shell structure diagram to obtain a stress requirement feature set. Furthermore, based on the plate feature set, shell description feature set, and stress requirement feature set, the folding pattern recognition operation is performed on the set of splicable areas to obtain the folding pattern result corresponding to each splicable area in the set of splicable areas.

[0169] The folding production module 104 is used to fold the pre-constructed aluminum-zinc plate according to the folding style results corresponding to each splicable area to obtain the assembled environmental protection cabinet shell.

[0170] In detail, the modules in the modular environmental protection cabinet system 100 constructed using aluminum-zinc plates with multiple folds described in this embodiment of the invention employ the same methods as described above during use. Figure 1The method described above uses aluminum-zinc plates with multiple folds to construct modular environmental protection cabinets, employing the same technical means and producing the same technical effect, so it will not be elaborated here.

[0171] like Figure 4 The diagram shown is a structural schematic of an electronic device that implements a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges, according to an embodiment of the present invention.

[0172] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a method program for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds.

[0173] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a method program for constructing a modular environmental protection cabinet using aluminum-zinc plates with multiple folds, but also to temporarily store data that has been output or will be output.

[0174] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folds), and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0175] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0176] Figure 4 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 4 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0177] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0178] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0179] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0180] The program for constructing an assembled environmentally friendly cabinet using aluminum-zinc plates with multiple folded edges, stored in the memory 11 of the electronic device 1, is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0181] Obtain the design scheme of the eco-friendly cabinet, and perform image and text classification on the eco-friendly cabinet design scheme to obtain image data and text data;

[0182] Image recognition is performed on the image data to obtain a structural diagram of the environmental protection cabinet shell, and text recognition is performed on the text data based on preset shell size, usage environment and functional description to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution;

[0183] Using a pre-trained splicing structure recognition model, feature extraction operations are performed on the shell structure diagram and shell description information of the environmental protection cabinet to obtain the shell structure feature set and shell description feature set, respectively. Then, the splicing position recognition operation is performed based on the shell structure feature set to obtain the splicable area set.

[0184] Obtain aluminum-zinc sheet material information, and perform material feature extraction operation on the aluminum-zinc sheet material information to obtain a material feature set;

[0185] Based on the structural diagram of the environmental protection cabinet shell, a stress requirement simulation analysis is performed on the set of splicable areas to obtain a set of stress requirement characteristics;

[0186] Based on the set of plate features, the set of shell description features, and the set of stress requirements features, the edge pattern recognition operation is performed on the set of splicable areas to obtain the edge pattern results corresponding to each splicable area in the set of splicable areas.

[0187] Based on the folding pattern results corresponding to each splicable area, the pre-constructed aluminum-zinc plate is folded to produce the assembled environmental protection cabinet shell.

[0188] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 4 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0189] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0190] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0191] Obtain the design scheme of the eco-friendly cabinet, and perform image and text classification on the eco-friendly cabinet design scheme to obtain image data and text data;

[0192] Image recognition is performed on the image data to obtain a structural diagram of the environmental protection cabinet shell, and text recognition is performed on the text data based on preset shell size, usage environment and functional description to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution;

[0193] Using a pre-trained splicing structure recognition model, feature extraction operations are performed on the shell structure diagram and shell description information of the environmental protection cabinet to obtain the shell structure feature set and shell description feature set, respectively. Then, the splicing position recognition operation is performed based on the shell structure feature set to obtain the splicable area set.

[0194] Obtain aluminum-zinc sheet material information, and perform material feature extraction operation on the aluminum-zinc sheet material information to obtain a material feature set;

[0195] Based on the structural diagram of the environmental protection cabinet shell, a stress requirement simulation analysis is performed on the set of splicable areas to obtain a set of stress requirement characteristics;

[0196] Based on the set of plate features, the set of shell description features, and the set of stress requirements features, the edge pattern recognition operation is performed on the set of splicable areas to obtain the edge pattern results corresponding to each splicable area in the set of splicable areas.

[0197] Based on the folding pattern results corresponding to each splicable area, the pre-constructed aluminum-zinc plate is folded to produce the assembled environmental protection cabinet shell.

[0198] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0199] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0200] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0201] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0202] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for constructing an assembled environmentally friendly cabinet using aluminum-zinc plates with multiple folded edges, characterized in that, The method includes: Obtain the design scheme of the eco-friendly cabinet, and perform image and text classification on the eco-friendly cabinet design scheme to obtain image data and text data; Image recognition is performed on the image data to obtain a structural diagram of the environmental protection cabinet shell, and text recognition is performed on the text data based on preset shell size, usage environment and functional description to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution; Using a pre-trained splicing structure recognition model, feature extraction is performed on the shell structure diagram of the environmental protection cabinet to obtain a shell structure feature set, and feature extraction is performed on the shell description information to obtain a shell description feature set. Then, based on the shell structure feature set, the position to be spliced ​​is identified to obtain a set of splicable areas. Obtain a table that records information about aluminum-zinc plates, and perform a plate feature extraction operation on the table that records information about aluminum-zinc plates to obtain a plate feature set. Based on the structural diagram of the environmental protection cabinet shell, a stress requirement simulation analysis is performed on the set of splicable areas to obtain a set of stress requirement characteristics; Based on the set of plate features, the set of shell description features, and the set of stress requirements features, the edge pattern recognition operation is performed on the set of splicable areas to obtain the edge pattern results corresponding to each splicable area in the set of splicable areas. Based on the folding pattern results corresponding to each splicable area, the pre-constructed aluminum-zinc plate is folded to produce the assembled environmental protection cabinet shell.

2. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 1, characterized in that, The process of performing image and text classification on the environmental protection cabinet design scheme yields image data and text data, including: The design scheme of the eco-friendly cabinet was scanned to obtain a long image introducing the eco-friendly cabinet; The long image of the environmental protection cabinet is subjected to data cleaning based on a preset preprocessing strategy to obtain a standardized image; The normalized image is subjected to edge detection using a pre-built Canny operator to obtain edge detection results, and the normalized image is then segmented based on the edge detection results to obtain a set of region blocks. Object classification and recognition operations are performed on each region block in the set of region blocks to obtain text data and image data.

3. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 2, characterized in that... The step of performing image recognition on the image data to obtain a structural diagram of the environmental protection cabinet shell includes: The image data is classified by object type to obtain a set of image objects, and images of the eco-friendly cabinet type are selected from the set of image objects to obtain a set of eco-friendly cabinet images; Perform environmental protection cabinet structure recognition operation on each environmental protection cabinet image in the environmental protection cabinet image set to obtain the environmental protection cabinet partial structure corresponding to each environmental protection cabinet image; The key endpoints of each environmental protection cabinet are identified to obtain the key endpoint positions of each part of the structure. Based on the key endpoint positions, the intersection and union operations of each part of the environmental protection cabinet are performed to obtain the shell structure diagram of the environmental protection cabinet.

4. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 3, characterized in that... The text recognition operation performed on the text data based on preset shell size, usage environment, and functional description to obtain shell description information includes: The text data is subjected to a text quantization operation based on self-attention configuration to obtain a context-enhanced text quantization sequence; Text feature extraction is performed on the context-enhanced text quantization sequence to obtain a text feature set, and semantic recognition is performed on the text feature set to obtain a semantic recognition result set. The semantic recognition result set is subjected to text filtering based on preset shell size, usage environment and functional description to obtain shell description information.

5. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 4, characterized in that... Prior to utilizing the pre-trained splicing structure recognition model, the method further includes: Extract one historical environmental protection cabinet from the pre-built collection of historical environmental protection cabinet projects, and obtain the historical structural diagram, splicing and folding design, board numerical parameters, application environment and functional distribution of the historical environmental protection cabinet. Physical testing was conducted on the aforementioned historical environmental protection cabinet to obtain actual stress test data for the spliced ​​and folded edge design. Using a pre-built finite element analysis service, stress measurement data for the splicing and folding design are generated based on the historical structural diagrams and plate numerical parameters. Based on the application environment and functional distribution, the stress measurement data is weighted according to performance requirements to obtain stress requirement prediction data. Calculate the difference between the actual stress test data and the predicted stress demand data, and calculate the ratio of the difference data to the predicted stress demand data to obtain the performance waste ratio of the splicing and folding edge design; Using the historical structural diagram, material numerical parameters, application environment, and functional distribution as keys, and the splicing and folding design and performance waste ratio as values, key-value pair samples are constructed. By summing up all the key-value pairs corresponding to the historical environmental protection cabinets in the aforementioned project set, a training sample set is obtained. Using a pre-built splicing structure recognition model, and based on a pre-built regularized loss function, machine learning is performed on the training sample set to obtain the network parameter relationship based on environmental cabinet design, splicing structure design, and performance waste. By minimizing the network parameter relationships based on the performance waste ratio, a splicing structure recognition model based on the environmental protection cabinet design and splicing structure design is obtained.

6. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 5, characterized in that... The regularization loss function is expressed as: ； In the formula, This represents the regularization loss function. This indicates the number of samples in the training sample set. Indicates the first The actual performance waste ratio of each sample Indicates the first The performance waste ratio of each sample This represents the parameters of the network model to be trained. This represents the minimum value. Represents the regularization parameter. This represents the L2 regularization symbol.

7. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 6, characterized in that, The step of performing edge pattern recognition on the set of splicable regions based on the set of plate features, the set of shell description features, and the set of stress requirements features to obtain the edge pattern results corresponding to each splicable region in the set of splicable regions, including: The plate feature set and stress requirement feature set are used to identify the plate folding style to obtain the primary available folding method set corresponding to each splicable area in the splicable area set; Based on the shell description feature set, the performance requirement configuration of each splicable area is identified, and based on the performance requirement configuration of each splicable area, the style constraint is applied to the primary available folding method set corresponding to each splicable area to obtain the available folding method set of each splicable area. Based on the pre-constructed edge folding style cost table, the edge folding cost of each edge folding method in each available edge folding method set is calculated to obtain the edge folding cost set. The edge folding cost set is then subjected to a minimum cost filtering operation to obtain the edge folding style results corresponding to each splicable area.

8. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 7, characterized in that, The process involves folding the pre-constructed aluminum-zinc sheet according to the folding pattern results corresponding to each splicable area to obtain the assembled environmental protection cabinet shell, including: Extract any splicable region from the set of splicable regions, obtain the folding style result of the splicable region, and calculate the folding material consumption of the splicable region based on the folding style result; Using the aforementioned folding material, a material area is added to the splicable area to obtain a cuttable aluminum-zinc sheet area; According to the cuttable aluminum-zinc sheet area, the pre-constructed aluminum-zinc sheet is cut to obtain the sheet to be folded. Summarize all the boards to be folded corresponding to all the splicable areas in the splicable area set to obtain the board to be folded set; Based on the folding pattern results corresponding to each splicable area, the set of boards to be folded is folded to obtain a set of boards to be assembled, and the set of boards to be assembled is assembled to obtain the assembled environmental protection cabinet shell.

9. The method for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges as described in claim 8, characterized in that, After obtaining the folding style results corresponding to each splicable region in the set of splicable regions, the method further includes: Obtain the distribution of each splicable region in the set of splicable regions on the shell structure diagram of the environmental protection cabinet to obtain the installation distribution diagram; By utilizing the folding pattern results corresponding to each splicable area, the installation distribution diagram is visually marked to obtain an assembly instruction diagram of the environmental protection cabinet shell.

10. A modular environmental protection cabinet system constructed using aluminum-zinc plates with multiple folded edges, characterized in that... The system includes: An eco-friendly cabinet design recognition module is used to acquire eco-friendly cabinet design schemes, perform image and text classification on the eco-friendly cabinet design schemes to obtain image data and text data, perform image recognition on the image data to obtain an eco-friendly cabinet shell structure diagram, and perform text recognition on the text data based on preset shell dimensions, usage environment and functional descriptions to obtain shell description information, wherein the shell description information includes shell numerical parameters, usage environment parameters and shell functional distribution; The splicable area recognition module is used to perform feature extraction on the shell structure diagram of the environmental protection cabinet using a pre-trained splicing structure recognition model to obtain a shell structure feature set, and to perform feature extraction on the shell description information to obtain a shell description feature set, and to perform splicing position recognition operation based on the shell structure feature set to obtain a splicable area set. The edge folding pattern recognition module is used to obtain a table recording information about aluminum-zinc plates, perform plate feature extraction on the table to obtain a plate feature set, and perform stress requirement simulation analysis on the set of splicable areas based on the environmental protection cabinet shell structure diagram to obtain a stress requirement feature set. Based on the plate feature set, shell description feature set, and stress requirement feature set, the module performs edge folding pattern recognition on the set of splicable areas to obtain the edge folding pattern results corresponding to each splicable area in the set of splicable areas. The edge-folding production module is used to fold the pre-constructed aluminum-zinc plates according to the edge-folding style results corresponding to each splicable area, so as to obtain the assembled environmental protection cabinet shell.

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