Metal material zero division and automatic discharging platform based on equipment manufacturing industry

Abstract

The invention discloses a metal material zero division and automatic discharging platform based on the equipment manufacturing industry, and aims to improve the material utilization rate and the production efficiency. The platform comprises a metal material zero division system, an automatic discharging system and a data security module. The zero division system realizes full-process digital processing of orders through purchase management, store management, invoice management and a front-end platform management module, and supports personalized part design and efficient transaction management. The automatic discharging system adopts an intelligent optimization algorithm to generate an efficient cutting scheme, the utilization rate of raw materials is maximized, and leftover materials are reduced. And the data security module protects the information integrity through an encryption technology and authority management. The platform is seamlessly integrated with an existing system of an enterprise, the production process is optimized, the operation cost is reduced, the customization requirement is met, and cost reduction and efficiency improvement of the industry are promoted.

Description

Technical Field

[0001] The present invention relates to the field of metal material processing and automation technology, and in particular to a metal material sorting and automatic discharging platform based on the equipment manufacturing industry. Background Art

[0002] In the equipment manufacturing industry, the cutting and nesting of metal materials are the core links in the production process, which directly affect the utilization rate of raw materials, production efficiency and enterprise costs. Traditional cutting and nesting methods mainly rely on manual design and experience judgment. Operators manually plan cutting paths and allocate materials according to order requirements. This method has significant defects: First, it is difficult to achieve optimal nesting by manual design, resulting in the utilization rate of raw materials usually only between 60% and 75%, and the proportion of scraps is as high as 20%-30%, causing serious waste. Secondly, manual operation is inefficient, especially when dealing with complex-shaped parts or large-volume orders. Nesting design is time-consuming and prone to errors, affecting the delivery cycle. In addition, the traditional method lacks systematic order management support. Procurement, store operations, invoice processing and other links usually operate independently, and information flow is not smooth, resulting in inefficient overall processes, making it difficult to meet the needs of modern manufacturing for rapid response and lean production.

[0003] In recent years, with the development of computer technology and automation technology, some digital solutions have been introduced into the field of metal material processing. For example, some computer-aided design (CAD) software supports simple nesting planning and can generate basic cutting paths. However, these tools have single functions and are only applicable to regular-shaped parts. They cannot cope with complex scenarios with multi-parameter constraints (such as material thickness, cutting accuracy, and order priority). In addition, existing nesting optimization algorithms are mostly based on a single goal (such as maximizing utilization), ignoring cutting path length or equipment constraints, resulting in limited applicability in actual production. Some companies have tried to introduce automated cutting equipment, but due to the lack of an integrated management platform, there is insufficient coordination between purchase orders, inventory data, and production plans, making it difficult to achieve full process optimization.

[0004] At the same time, the market demand for customized parts is growing, and purchasers often need to flexibly specify the shape and quantity of parts, which puts higher requirements on the response speed and personalized design capabilities of the zero-to-zero system. Existing zero-to-zero platforms are mostly focused on a single function, such as order entry or inventory management, and lack comprehensive support for store operations, invoice management, and front-end interaction. In addition, data security issues have gradually become prominent, and the leakage of order information and nesting plans may lead to business losses, but the encryption technology and permission management mechanisms in the existing systems are generally weak, making it difficult to meet industry compliance requirements.

[0005] In summary, the existing technologies have the following deficiencies: (1) Limited ability to optimize material layout, low utilization rate of raw materials, and a large amount of leftover materials; (2) Lack of integrated management in order processing and production processes, resulting in low efficiency; (3) The part - splitting system has a single function and cannot meet customized requirements; (4) Insufficient data security protection, posing a risk of information leakage. To address these problems, there is an urgent need for a comprehensive platform that integrates intelligent material - layout algorithms, digital order management, and data - security mechanisms to improve the material utilization rate and operational efficiency in the equipment - manufacturing industry and achieve the goal of cost reduction and efficiency improvement.

[0006] To solve the above problems, it is urgent to use a part - splitting and automatic material - layout platform for metal materials in the equipment - manufacturing industry. Summary of the Invention

[0007] The purpose of the present invention is to solve the problems of the existing technologies mentioned in the above - mentioned background technology, and provide a part - splitting and automatic material - layout platform for metal materials in the equipment - manufacturing industry.

[0008] The present invention achieves the above - mentioned purpose through the following solutions:

[0009] A part - splitting and automatic material - layout platform for metal materials in the equipment - manufacturing industry, the platform includes:

[0010] A part - splitting system for metal materials, which is used to process order information of the purchaser and the seller, and includes a procurement management module, a store management module, an invoice management module, and a front - end platform management module;

[0011] An automatic material - layout system, which is used to optimize the cutting plan of metal materials, and includes a parameter - configuration module and a material - layout optimization module based on an intelligent optimization algorithm;

[0012] A data - security module, which protects the confidentiality and integrity of order data, user information, and material - layout plans through data encryption and permission management;

[0013] Among them, the part - splitting system and the automatic material - layout system realize information flow through a unified data interface, supporting full - process digital management.

[0014] As a preferred technical solution of the present invention, the material - layout optimization module of the automatic material - layout system uses a genetic algorithm to optimize the cutting plan, and the specific steps include:

[0015] Initialize the population and generate a set of random material - layout plans;

[0016] Calculate the fitness function, which is defined as the material utilization rate Where A used is the area occupied by the part, and A total is the total area of the raw material;

[0017] The roulette wheel selection operator is adopted to select the next-generation solution according to the fitness function;

[0018] Through crossover and mutation operations for iterative optimization, the crossover probability P c ∈[0.6, 0.9], and the mutation probability P m ∈(0.01, 0.1];

[0019] Output the optimal nesting plan, such that the material utilization rate U≥90%, and the proportion of leftover scraps is less than 10%.

[0020] As a preferred technical solution of the present invention, the automatic nesting system further supports heuristic algorithms, and uses the simulated annealing algorithm to optimize the nesting of parts with complex shapes, specifically including:

[0021] Initialize a random nesting plan, set the initial temperature T0 = 1000, the cooling coefficient α = 0.95, and the termination temperature T min = 0.01;

[0022] Calculate the objective function E = w1·(1 - U) + w2·C, where U is the material utilization rate, C is the cutting path length (the sum of the Euclidean distances based on the tool movement), w1∈[0.6, 0.8], w2∈[0.2, 0.4] are weight coefficients, satisfying w1 + w2 = 1, and prioritize optimizing the material utilization rate;

[0023] Generate a new plan through random perturbation, and the perturbations include part translation, rotation or exchange, the rotation angle step is 5°, and the minimum distance between parts is 21mm;

[0024] The acceptance probability P = min(1, e -ΔE / T ), where ΔE is the difference in the objective function;

[0025] Iterate until the termination condition, and output the optimized nesting plan that satisfies complex geometric constraints.

[0026] As a preferred technical solution of the present invention, the procurement management module supports the dynamic processing of orders, including:

[0027] Order creation: Record the part shape, size, quantity and delivery time;

[0028] Logistics tracking: Real-time update the shipping and receiving status;

[0029] Payment confirmation: Integrate a third-party payment interface.

[0030] As a preferred technical solution of the present invention, the store management module supports online operation, including:

[0031] Product display: Support 3D model preview;

[0032] Personalized Design: The purchaser can customize the part shape through an interactive interface;

[0033] Compliance Management: Integrate tax and safety certifications to ensure that the store complies with industry standards.

[0034] As a preferred technical solution of the present invention, the invoice management module supports digital management of purchase and sales invoices, including:

[0035] Automatic Invoice Generation: Generate electronic invoices based on order information, with formats compliant with national tax standards;

[0036] Invoice Verification: Store transaction hash values through a distributed ledger to ensure data immutability;

[0037] Transaction Record Archiving: Support query by time, amount, or customer, with query response time less than 1 second.

[0038] As a preferred technical solution of the present invention, the front-end platform management module provides an interactive user interface and supports:

[0039] Product Browsing: Based on a collaborative filtering recommendation algorithm, combined with user historical order data;

[0040] Order Customization: The purchaser can input part parameters, and the system automatically verifies the parameter validity;

[0041] Real-time Feedback: Order status is pushed through the WebSocket protocol.

[0042] As a preferred technical solution of the present invention, the parameter configuration module supports multi-dimensional data input, including:

[0043] Raw Material Parameters: Such as size, material, and weight;

[0044] Order Requirements: Such as part geometry, quantity, and priority, supporting DXF format import;

[0045] Cutting Equipment Constraints: Such as maximum cutting speed and accuracy, automatically adapting to equipment models;

[0046] Among them, the parameter verification time is less than 200 milliseconds, supporting 1000 concurrent order processing.

[0047] As a preferred technical solution of the present invention, the data security module adopts the following technologies:

[0048] Data Encryption: Adopt AES-256 encryption for order data during transmission and storage, with a key length of 256 bits;

[0049] Permission Management: Assign user roles based on the RBAC model, supporting the principle of least privilege;

[0050] Intrusion detection: Real-time monitoring of abnormal access;

[0051] Among them, the system has passed the ISO27001 information security certification, and the probability of data leakage is less than 0.01%.

[0052] As a preferred technical solution of the present invention, the platform supports the integration with the existing enterprise systems, including:

[0053] ERP system: Synchronize order and inventory data through the API interface, with a latency of less than 50 milliseconds;

[0054] MES system: Transmit the nesting plan to the production equipment in real time, supporting G-code output;

[0055] Cloud deployment: Support for AWS, Azure or private cloud.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The metal material sub-division and automatic nesting platform of the present invention significantly improves the production efficiency and resource utilization rate of the equipment manufacturing industry through intelligent optimization algorithms and integrated management systems. The automatic nesting system adopts advanced optimization algorithms to generate efficient cutting plans, greatly improving the material utilization rate and reducing the leftover materials. The sub-division system realizes the full-process automation of order processing by digitally managing procurement, stores, invoices and the front-end platform, significantly shortening the response time and improving the overall operation efficiency. These technical advantages effectively reduce raw material waste and production costs, and enhance the market competitiveness of enterprises.

[0058] In addition, the platform optimizes the user experience through personalized order design and an interactive user interface, providing accurate recommendation functions and an efficient operation process. The data security module adopts strong encryption technology and strict permission management to ensure transparent and compliant transactions. The system is seamlessly integrated with the existing enterprise production management tools, further improving production efficiency and reducing operation costs, providing an efficient, secure and flexible solution for the industry, meeting customized needs and promoting lean production. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0060] Figure 1 It is the system block diagram of the metal material sub-division and automatic nesting platform based on the equipment manufacturing industry of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0062] As Figure 1 shown, the present invention proposes a metal material part - splitting and automatic nesting platform for the equipment manufacturing industry. By integrating a digital system and intelligent optimization algorithms, it improves the utilization rate of metal materials, optimizes the order - processing process, and ensures data security and system integration. The following details the specific implementation of this platform, covering all the technical content in claims 1 - 10, focusing on the core functions and avoiding irrelevant parameters.

[0063] The platform development starts with system design, aiming to integrate the metal material part - splitting system, automatic nesting system, and data safety module. The part - splitting system processes the order information of the purchaser and the seller. The automatic nesting system optimizes the cutting plan. The data security module protects data integrity. The three achieve information flow through a unified data interface, ensuring the coordination of the entire process of procurement, cutting, and delivery. The system adopts a modular architecture, uses a relational database for data storage, and the modules communicate through APIs.

[0064] The procurement management module of the part - splitting system supports dynamic order processing. The purchaser inputs the part shape, size, and quantity through the front - end interface. The system generates an order record with a response time of less than 500 milliseconds. The logistics tracking function updates the shipping and receiving status in real - time. The payment confirmation module integrates a third - party payment interface to ensure transaction security.

[0065] The store management module supports the online operation of the sales side, provides a product display function, previews parts through 3D models, and the purchaser can interactively customize the part shape. The compliance management function ensures that the store meets tax and safety standards, and the user satisfaction rate is above 4.5 / 5.0. The data is synchronized daily to ensure consistency.

[0066] The invoice management module digitizes the procurement and sales invoices. The system automatically generates electronic invoices according to the orders, which comply with tax standards. The invoice verification stores the transaction hash value through blockchain technology to ensure non - tampering, and the verification time is less than 1 second. The transaction records support classified queries, with a low response time and high transparency, and the compliance is verified through third - party audits.

[0067] The front-end platform management module provides an interactive interface. Product browsing is based on a collaborative filtering recommendation algorithm, combined with historical order data, with an accuracy rate of 85%. The purchaser enters the part parameters, the system verifies the validity, and the order status is pushed via WebSocket.

[0068] The parameter configuration module of the automatic nesting system supports data input. The purchaser uploads the raw material size, material and order requirements (such as part shape and quantity), and supports DXF format import. The system recognizes the cutting equipment constraints, parameter verification takes less than 200 milliseconds, and supports concurrent processing of 1,000 orders.

[0069] The nesting optimization module uses genetic algorithms to process regular-shaped parts. The algorithm initializes the random nesting plan and calculates the material utilization rate. Among them A used is the part area, A total The area of raw materials.

[0070] Using the roulette wheel selection operator, the crossover probability P c ∈[0.6,0.9], mutation probability P m ∈0.01,0.1], after iterative optimization, the output scheme reaches 93% material utilization and the scrap is less than 7%. Complex shape parts are optimized using simulated annealing algorithm.

[0071] After initialization, set the initial temperature T0 = 1000, the cooling coefficient α = 0.95, and the termination temperature T min =0.01. Objective function E = w1·(1-U)+w2·C, where C is the cutting path length (total tool movement distance), w1∈[0.6,0.8], w2∈[0.2,0.4]. Perturbations include part translation, rotation (step length 5°) or exchange, with a spacing of 21 mm. Acceptance probability P = min(1,e -ΔE / T ), after iteration, the material utilization rate reaches 90% and the scrap is less than 8%.

[0072] The data security module uses AES-256 encryption for orders and nesting plans, with a key length of 256 bits. Permission management is based on the RBAC model and follows the principle of least privilege. Intrusion detection monitors abnormal access, with a false alarm rate of less than 0.1%. The system has passed ISO27001 certification, and the probability of data leakage is less than 0.01%.

[0073] System integration supports synchronization of orders and inventory with the ERP system, with a delay of less than 50 milliseconds; transmits nesting plans with the MES system to generate G code to drive equipment; supports cloud deployment, with system availability reaching 99.9%. After integration, production efficiency is increased by 15%-20% and costs are reduced by 10%-15%.

[0074] In practical applications, an enterprise conducts tests on 2000mm×1000mm plates and orders (50 100mm×100mm square parts, 20 200mm×150mm rectangular parts, and polygonal parts). The part separation system efficiently processes orders with a response time of less than 500 milliseconds. The genetic algorithm optimizes rectangular parts with a utilization rate of 93%; the simulated annealing algorithm processes complex shapes with a utilization rate of 90%. Invoice management generates compliant invoices, and blockchain verification ensures transparency. The data security module protects information, and the system collaborates with ERP and MES.

[0075] This platform realizes the automation from order processing to cutting optimization, improves material utilization rate and efficiency, ensures data security and integration, and meets the industry requirements.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A metal material part-zeroing and automatic nesting platform for the equipment manufacturing industry, characterized in that, The platform includes: A metal material piecemeal system for processing order information of the purchaser and the seller, including a procurement management module, a store management module, an invoice management module, and a front-end platform management module; An automatic nesting system for optimizing the cutting plan of metal materials, including a parameter configuration module and a nesting optimization module based on intelligent optimization algorithms; A data security module that protects the confidentiality and integrity of order data, user information, and nesting plans through data encryption and permission management; Among them, the piecemeal system and the automatic nesting system achieve information flow through a unified data interface, supporting full-process digital management.

2. The metal material zero-cutting and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that The nesting optimization module of the automatic nesting system uses a genetic algorithm to optimize the cutting plan. The specific steps include: Initializing the population to generate a set of random nesting plans; Calculate the fitness function, defined as the material utilization rate where A used is the area occupied by the part, and A total is the total area of the raw material; Using the roulette wheel selection operator to select the next-generation plan according to the fitness function; Iteratively optimized through crossover and mutation operations, the crossover probability P c ∈[0.6, 0.9], and the mutation probability P m ∈(0.01, 0.1]; Outputting the optimal nesting plan so that the material utilization rate U≥90% and the proportion of leftover materials is less than 10%.

3. The metal material sub - zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that, The automatic nesting system further supports heuristic algorithms and uses the simulated annealing algorithm to optimize the nesting of complex-shaped parts, specifically including: Initialize the random nesting plan, set the initial temperature T0 = 1000, the cooling coefficient α = 0.95, and the termination temperature T min = 0.01; Calculating the objective function E = w1·(1 - U)+w2·C, where U is the material utilization rate, C is the cutting path length, w1∈[0.6,0.8], w2∈[0.2,0.4] are weight coefficients, satisfying w1 + w2 = 1, and giving priority to optimizing the material utilization rate; Generating a new plan through random perturbation. The perturbations include part translation, rotation, or exchange. The rotation angle step is 5°, and the minimum distance between parts is 21mm; Acceptance probability \(P = \min(1, e -ΔE / T ), where \(\Delta E\) is the difference in the objective function; Iterating to the termination condition and outputting the optimized nesting plan that meets complex geometric constraints.

4. The metal material zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that The procurement management module supports the dynamic processing of orders, including: Order creation: Recording part shape, size, quantity, and delivery time; Logistics tracking: Real-time updating of shipping and receiving status; Payment confirmation: Integrating a third-party payment interface; Among them, the order processing efficiency is increased by at least 20%, and the response time is less than 500 milliseconds through database index optimization.

5. The metal material zero-cutting and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that, The store management module supports online operation, including: Product display: Supporting 3D model preview; Personalized design: The purchaser can customize the part shape through an interactive interface; Compliance management: Integrating tax and security certifications to ensure that the store meets industry standards.

6. The metal material zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that, The invoice management module supports the digital management of purchase and sales invoices, including: Automatic invoicing: Generating electronic invoices based on order information, with the format conforming to national tax standards; Invoice verification: Storing transaction hash values through a distributed ledger to ensure data immutability; Transaction record archiving: Supporting query by time, amount, or customer, with a query response time of less than 1 second.

7. The metal material zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that, The front-end platform management module provides an interactive user interface and supports: Product browsing: Based on a collaborative filtering recommendation algorithm, combined with the user's historical order data; Order customization: The purchaser can input part parameters, and the system automatically verifies the validity of the parameters; Real-time feedback: The order status is pushed through the WebSocket protocol.

8. The metal material zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, wherein The parameter configuration module supports multi-dimensional data input, including: Raw material parameters: Such as size, material, and weight; Order requirements: such as part geometry, quantity, and priority, support DXF format import; Cutting equipment constraints: such as maximum cutting speed and accuracy, automatically adapt to equipment models; Among them, the parameter verification time is less than 200 milliseconds, and support for concurrent processing of 1000 orders.

9. The metal material sub - zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that The data security module adopts the following technologies: Data encryption: Use AES-256 encryption for order data during transmission and storage, with a key length of 256 bits; Permission management: Allocate user roles based on the RBAC model, support the principle of least privilege; Intrusion detection: Real-time monitoring of abnormal access; Among them, the system has passed the ISO27001 information security certification, and the probability of data leakage is less than 0.01%.

10. The metal material zeroing and automatic nesting platform based on the equipment manufacturing industry according to claim 1, characterized in that, The platform supports integration with the enterprise's existing systems, including: ERP system: Synchronize order and inventory data through API interfaces, with a delay of less than 50 milliseconds; MES system: Real-time transmission of nesting plans to production equipment, support G-code output; Cloud deployment: Support AWS, Azure, or private cloud.

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