Glass deep processing connection line-based beat calculation simulation system
Through a beat calculation simulation system based on glass deep processing connections, the operation process of the production line model is simulated, bottlenecks are identified and production beats are optimized, and the problem of complexity of glass deep processing production lines and difficult to optimize traditional management methods is solved, and the optimization of production processes and the improvement of resource utilization is achieved.
Patent Information
- Application Number
- CN202411636735.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-15
- Publication Date
- 2025-02-25
AI Technical Summary
The complexity of glass deep processing production lines has increased, and traditional production management methods are difficult to optimize production processes and improve production efficiency.
Develop a beat calculation simulation system based on deep processing connections of glass, build a virtual production environment through a simulation platform, simulate the operation process of the production line model, collect and analyze data, identify production bottlenecks, optimize production beats, and find the optimal parameter combination through the parameter adjustment module.
It realizes accurate calculation and analysis of production rhythms, helping enterprises identify bottlenecks and waste links in the production process, optimize production processes, improve resource utilization, reduce production costs, and improve production efficiency.
Smart Images
Figure CN119515214A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of flat glass deep processing production lines, and in particular to a beat calculation simulation system based on glass deep processing lines. Background Art
[0002] Glass deep processing refers to further processing of glass through cutting, edging, drilling, laminating, sandblasting, painting and other processes to meet different usage requirements. These processing methods can improve the aesthetics, safety and functionality of glass. The application fields of glass deep processing are very wide, including construction, automobile, home furnishing, electronics and other industries.
[0003] With the continuous development of the glass deep processing industry, the complexity of the production process has increased, and enterprises are in urgent need of efficient tools to optimize the production process and improve production efficiency. Traditional production management methods are difficult to meet the requirements of modern production, so it is particularly important to develop a beat calculation system based on simulation technology. Summary of the invention
[0004] The purpose of the present invention is to solve the above-mentioned background technical problems and to propose a beat calculation simulation system based on glass deep processing lines.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] A simulation platform for a glass visual inspection algorithm comprises: an architecture module, the architecture module is used to load a production line model; the architecture module is connected to a simulation algorithm module, the simulation algorithm module uses simulation software to simulate the operation process of the production line model, and collects and analyzes data from each link; the simulation algorithm module is connected to a beat optimization module, the beat optimization module identifies production bottlenecks and optimizes production beats based on simulation data; the beat optimization module is connected to a parameter adjustment module, the parameter adjustment module is used to simulate production effects under different process parameters and find the optimal parameter combination; the parameter adjustment module is connected to an evaluation and response module, the evaluation and response module is used to predict potential production risks and formulate response measures.
[0007] As a further solution of the present invention: the architecture module includes an inventory unit, a loader, a shuttle, a cutting machine and a control unit.
[0008] As a further solution of the present invention: the simulation algorithm module simulates the storage, retrieval and processing process of the original glass sheet.
[0009] As a further solution of the present invention: the beat optimization module monitors the simulation process in real time and collects production data of equipment utilization, production efficiency and bottleneck processes.
[0010] As a further solution of the present invention: the parameter adjustment module proposes targeted optimization suggestions based on the data analysis results, adjusts the equipment layout, optimizes the process flow and improves the equipment efficiency.
[0011] As a further solution of the present invention: the evaluation and response module applies the optimization suggestions to the simulation model, re-runs the simulation process, compares the simulation results before and after the optimization, verifies the effectiveness and feasibility of the optimization solution, and generates a glass deep processing simulation report, recording the simulation process, data analysis results and optimization suggestions in detail.
[0012] As a further solution of the present invention: the simulation algorithm and model are implemented by using a programming language, and the programming language is used to write a user interface code to provide an interactive interface between the user and the simulation software.
[0013] As a further solution of the present invention: the simulation algorithm module adopts a time-based or event-based simulation method.
[0014] As a further solution of the present invention: the system relies on industrial PC as a software development and operation carrier, and uses Botu V18 as a programming environment.
[0015] As a further solution of the present invention: the glass deep processing simulation report includes charts, tables and text descriptions.
[0016] Beneficial effects of the present invention:
[0017] (1) In the present invention, by constructing a virtual production environment and simulating various operations and equipment states on an actual production line, accurate calculation and analysis of the production rhythm can be achieved. The system can help enterprises understand the dynamic changes in the production process, predict potential problems, and formulate corresponding optimization strategies.
[0018] (2) In the present invention, by simulating the actual production process, it can help enterprises identify bottlenecks and wasteful links in the production process, thereby optimizing the production process, improving resource utilization, and helping to reduce production costs and improve production efficiency.
[0019] (3) In the present invention, by collecting and analyzing various data in the production process, a scientific basis is provided for the enterprise to assist the enterprise in making scientific and reasonable decisions.
[0020] (4) In the present invention, the simulation system can simulate the actual use environment and performance of the product, providing enterprises with intuitive and accurate data support, which helps to reduce R&D costs and shorten the R&D cycle. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] The present invention will be further described below in conjunction with the accompanying drawings.
[0022] Figure 1 It is a structural schematic diagram of a beat calculation simulation system based on glass deep processing lines of the present invention. DETAILED DESCRIPTION
[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0024] See also Figure 1 As shown, the present invention is a beat calculation simulation system based on glass deep processing line, including: an architecture module, the architecture module is used to load the production line model. The architecture module is connected to the simulation algorithm module, the simulation algorithm module uses simulation software to simulate the operation process of the production line model, and collects and analyzes data from each link.
[0025] Furthermore, the simulation algorithm module is connected to the beat optimization module, which identifies production bottlenecks and optimizes production beats based on simulation data. The beat optimization module is connected to the parameter adjustment module, which is used to simulate production effects under different process parameters and find the optimal parameter combination; the parameter adjustment module is connected to the evaluation and response module, which is used to predict potential production risks and formulate response measures.
[0026] In this embodiment, a simulation system including an inventory unit, a loader, a shuttle, a cutting machine and a control unit is constructed through an architecture module to simulate the actual production process. The storage, retrieval and processing of glass sheets are simulated through simulation software, and data from each link is collected and analyzed. According to the simulation data, production bottlenecks are identified, the production rhythm is optimized, and production efficiency is improved. The production effects under different process parameters are simulated through the rhythm optimization module to find the optimal parameter combination to ensure product quality. The evaluation and response module is used to predict potential production risks, formulate response measures, and ensure the stability and safety of the production process. The glass deep processing industry has broad development prospects, and the simulation system, as an auxiliary tool, plays an important role in optimizing production processes, predicting potential problems, assisting decision-making, and reducing R&D costs.
[0027] Furthermore, the progress of automation technology has enabled the glass deep processing industry to gradually realize the automation and intelligence of the production process. The application of automation equipment and robots not only improves production efficiency, but also significantly improves product quality and reduces labor costs. This production method helps enterprises to achieve large-scale production, improve market competitiveness, and develop an open source, flexible, and highly adaptable glass deep processing beat simulation system based on different cycles, different sizes, and different equipment combinations.
[0028] The specific operations are as follows: 1. Initialization: Load the production line model, including equipment, process path, raw materials, etc. Set simulation parameters, such as production time, output target, equipment failure rate, etc. 2. Input parameter setting: Set production order, product specifications, production batch and other parameters according to actual production needs. Configure equipment parameters, such as processing speed, switching time, etc. 3. Simulation operation: Start simulation to simulate the actual operation process of the glass deep processing production line. According to the set parameters and model, calculate the production cycle and simulate equipment operation, material handling and other processes. 4. Data analysis: Real-time monitoring of the simulation process, collect production data, such as equipment utilization, production efficiency, bottleneck process, etc. Use data analysis tools to analyze the collected data and find out the problems and bottlenecks in the production process. 5. Optimization suggestions: According to the data analysis results, put forward targeted optimization suggestions, such as adjusting equipment layout, optimizing process flow, improving equipment efficiency, etc. You can use the optimization tools or algorithms in the simulation software to assist the optimization process. 6. Simulation verification: Apply the optimization suggestions to the simulation model and rerun the simulation process. Compare the simulation results before and after optimization to verify the effectiveness and feasibility of the optimization plan. 7. Output report: Generate glass deep processing simulation report, record the simulation process, data analysis results and optimization suggestions in detail. The report can include charts, tables, text descriptions and other forms.
[0029] Through the step-by-step simulation process, we can fully understand each link of the production line, identify potential problems, and collect and analyze real-time data, so that production efficiency and equipment utilization can be fed back in time, which is helpful to quickly adjust and optimize production strategies. The optimization suggestions provided based on the analysis results of actual data are more scientific and reliable than empirical methods. Before actual production, different solutions can be tested through simulation to effectively reduce the risks in the implementation process and avoid possible economic losses. Simulation parameters and production plans can be quickly adjusted according to different production needs and market changes to improve the adaptability of the production line. Through continuous simulation and optimization, a closed loop of continuous improvement can be formed to promote the long-term development and efficiency improvement of the production line.
[0030] Specifically, the architecture module includes inventory units, loader machines, shuttle machines, cutting machines and control units. By building a virtual production environment and simulating various operations and equipment states on the actual production line to achieve accurate calculation and analysis of production rhythm, this system can help companies understand the dynamic changes in the production process, predict potential problems, and formulate corresponding optimization strategies.
[0031] Among them, clarify the goals and needs of the simulation, such as improving production efficiency, reducing production time, optimizing material management, etc. Analyze the actual operation of the glass deep processing production line, including equipment, processes, materials, etc.
[0032] Specifically, the simulation algorithm module simulates the storage, retrieval and processing of glass sheets; the simulation system can help companies identify bottlenecks and wasteful links in the production process by simulating the actual production process, thereby optimizing the production process and improving resource utilization. This helps reduce production costs and improve production efficiency.
[0033] Among them, a simulation model is established based on the glass deep processing line simulation production line. This includes equipment model, process model, material flow model, etc. The model needs to be able to reflect the actual operation of the production line, including equipment production capacity, processing time, failure rate and other parameters.
[0034] Specifically, the beat optimization module monitors the simulation process in real time and collects production data on equipment utilization, production efficiency and bottleneck processes; in the research and development of glass deep-processing products, the simulation system can simulate the actual use environment and performance of the product, providing companies with intuitive and accurate data support. This helps reduce R&D costs and shorten the R&D cycle.
[0035] Specifically, the parameter adjustment module makes targeted optimization suggestions based on the data analysis results, adjusts the equipment layout, optimizes the process flow and improves equipment efficiency; the simulation system provides a scientific basis for enterprises by collecting and analyzing various data in the production process, assisting enterprises in making scientific and reasonable decisions.
[0036] The software is unit tested, integrated tested, and system tested to ensure its correctness and stability. The simulation effect and optimization capability of the software are tested by simulating actual production conditions. The simulation results are analyzed to identify bottlenecks and potential problems in the glass deep processing production line. Based on the analysis results, optimization suggestions are put forward, such as adjusting equipment layout, optimizing process flow, and improving equipment efficiency. The optimization suggestions are fed back to the simulation model, and simulation tests are re-performed to verify the optimization effect. User feedback is collected to understand the software usage and existing problems.
[0037] Specifically, the evaluation and response module applies the optimization suggestions to the simulation model, reruns the simulation process, compares the simulation results before and after optimization, verifies the effectiveness and feasibility of the optimization plan, and generates a glass deep processing simulation report, which records the simulation process, data analysis results and optimization suggestions in detail. In the production process, the emergence of potential problems often affects the production schedule and product quality. The simulation system can predict potential problems in advance and provide solutions for enterprises, thereby reducing production risks and ensuring smooth production.
[0038] In this embodiment, the simulation algorithm and model are implemented by using a programming language, and the programming language is used to write the user interface code to provide an interactive interface between the user and the simulation software. The simulation algorithm module adopts a time-based or event-based simulation method; a simulation algorithm is designed to simulate the operation process of the production line; the algorithm needs to be able to simulate the working status of the equipment, the flow of materials, the execution process of the process, etc., and a time-based or event-based simulation method can be used. The appropriate algorithm is selected according to actual needs, and the simulation algorithm and model are implemented using a programming language (SCL), and the user interface code is written to provide an interactive interface between the user and the simulation software.
[0039] Among them, the time-based simulation method advances the simulation in time steps and updates the system state at each time step. It is usually used to deal with continuously changing processes; the event-based simulation method simulates the changes in the system state by recording and processing discrete events occurring in the system. It is suitable for complex and dynamic production processes.
[0040] The system relies on industrial PC as the carrier for software development and operation, and uses Botu V18 as the programming environment. Based on the beat calculation simulation system of glass deep processing lines, it accurately simulates the production beat, optimizes equipment configuration and process flow, reduces waiting time and production bottlenecks, significantly improves overall production efficiency, reduces unnecessary waste of resources and rework, and reduces production costs. At the same time, it optimizes inventory management, reduces capital occupation, provides a scientific basis for production decisions, helps companies more accurately predict market demand, reasonably arrange production plans, ensure the stability and consistency of product quality, and improve customer satisfaction.
[0041] Specifically, the simulation report of glass deep processing includes charts, tables and text descriptions; by visually displaying data trends and changes, complex information can be seen at a glance. Graphical methods can more easily identify patterns and anomalies in the data, thereby assisting decision-making, and can systematically list key data for easy comparison and reference. The simulation report that combines charts, tables and text descriptions not only improves the efficiency and accuracy of information transmission, but also enhances the professionalism of the report.
[0042] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of application of the present invention should still fall within the scope of the claims of the present invention.
Claims
1. A beat calculation simulation system based on glass deep processing line, characterized in that: include: A framework module, wherein the framework module is used to load a production line model; The architecture module is connected to the simulation algorithm module, and the simulation algorithm module uses simulation software to simulate the operation process of the production line model, collects and analyzes data from each link; The simulation algorithm module is connected to the beat optimization module, and the beat optimization module identifies production bottlenecks and optimizes production beats according to simulation data; The beat optimization module is connected to the parameter adjustment module, and the parameter adjustment module is used to simulate the production effects under different process parameters and find the optimal parameter combination; The parameter adjustment module is connected to the assessment and response module, and the assessment and response module is used to predict potential production risks and formulate response measures.
2. According to claim 1, a beat calculation simulation system based on glass deep processing line is characterized in that: The architecture module includes an inventory unit, a loader, a shuttle, a cutting machine and a control unit.
3. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The simulation algorithm module simulates the storage, retrieval and processing of the original glass sheet.
4. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The beat optimization module monitors the simulation process in real time and collects production data on equipment utilization, production efficiency and bottleneck processes.
5. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The parameter adjustment module proposes targeted optimization suggestions based on the data analysis results, adjusts the equipment layout, optimizes the process flow and improves the equipment efficiency.
6. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The evaluation and response module applies the optimization suggestions to the simulation model, reruns the simulation process, compares the simulation results before and after the optimization, verifies the effectiveness and feasibility of the optimization scheme, and generates a glass deep processing simulation report, recording the simulation process, data analysis results and optimization suggestions in detail.
7. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The simulation algorithm and model are implemented by using a programming language, and the programming language is used to write a user interface code to provide an interactive interface between the user and the simulation software.
8. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The simulation algorithm module adopts a time-based or event-based simulation method.
9. The beat calculation simulation system based on glass deep processing line according to claim 1 is characterized in that: The system relies on industrial PC as the software development and operation carrier, and uses Botu V18 as the programming environment.
10. The beat calculation simulation system based on glass deep processing line according to claim 6 is characterized in that: The glass deep processing simulation report includes charts, tables and text descriptions.