Photovoltaic aluminum frame manufacturing execution platform system

Abstract

The invention relates to a photovoltaic aluminum frame manufacturing execution platform system, which comprises an FTPC MOM platform and integrates the functions of automatic production scheduling, material tracking and management, factory modeling and resource management, quality management, real-time data acquisition and monitoring and the like. Through an intelligent scheduling algorithm and a real-time material tracking system, the platform can automatically generate a production schedule, the sufficiency of material supply is ensured, and the production efficiency is improved. The platform supports multi-cluster server deployment, and adopts a cache strategy and an asynchronous updating mechanism to improve the system response speed and the data processing efficiency. The system further comprises a process object model and a secondary development environment, supports user-defined expansion and flexible production process management, and meets different production requirements. The method is suitable for efficient management of photovoltaic aluminum frame manufacturing, and the production efficiency, the product quality and the resource utilization rate can be effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of photovoltaic aluminum frame manufacturing, and in particular to a photovoltaic aluminum frame manufacturing execution platform system. Background Art

[0002] In the field of photovoltaic aluminum frame manufacturing, the Manufacturing Execution System (MES) is an integrated software system responsible for coordinating, monitoring and controlling the entire manufacturing process to ensure the efficiency, accuracy and compliance of production activities. The photovoltaic aluminum frame manufacturing execution platform is designed specifically for the manufacturing process of photovoltaic aluminum frames. It integrates a variety of modular manufacturing execution software solutions. By providing core functions such as production scheduling, material tracking and management, factory modeling and resource management, process control, data collection and synchronization, quality management, regulatory compliance, real-time production status monitoring, and role-based operator management, it can achieve real-time monitoring, scheduling and optimization of the entire photovoltaic aluminum frame manufacturing process.

[0003] At present, the manufacturing execution systems commonly used in the photovoltaic aluminum frame manufacturing industry mainly include the following categories: Industry-customized solutions: Many software suppliers provide customized manufacturing execution platforms based on the specific needs of the photovoltaic aluminum frame manufacturing industry. These platforms integrate functional modules specific to the industry, such as aluminum profile extrusion process control, anodizing monitoring, material tracking and inventory management, etc.

[0004] Modular Manufacturing Execution System (MES): This system can be flexibly configured according to the specific needs of the enterprise through modular design, including production scheduling, resource scheduling, process management, data collection and analysis, quality management, etc. The modular characteristics of the MES system have made it widely used in photovoltaic aluminum frame manufacturing companies.

[0005] ERP and MES integrated solution: Some photovoltaic aluminum frame manufacturers choose to integrate the enterprise resource planning (ERP) system with the MES system to achieve full-chain management from raw material procurement, production planning, manufacturing execution to financial settlement. This integrated solution can provide more comprehensive data support and help enterprises achieve refined management.

[0006] Cloud-based manufacturing execution platform: With the development of cloud computing technology, more and more manufacturing companies are beginning to adopt cloud-based manufacturing execution platforms. Such platforms take advantage of cloud computing’s elasticity, high availability, and low cost to provide companies with more flexible and convenient manufacturing execution solutions. Cloud-based platforms can achieve functions such as remote monitoring, real-time data analysis, and cross-regional collaborative operations.

[0007] However, the existing photovoltaic aluminum frame manufacturing execution platform system still has some shortcomings in practical applications: 1. Insufficient customization: Although some manufacturing execution platforms claim to be designed specifically for the photovoltaic aluminum frame manufacturing process, their industry customization is often not high enough to meet the special needs of photovoltaic aluminum frame manufacturers. Specifically, there may be significant differences in process flow, production equipment and quality management standards between different manufacturers, and existing general platforms are difficult to flexibly respond to these differences.

[0008] 2. Integration and interoperability challenges: There may be certain difficulties and obstacles in the data integration and interoperability between the manufacturing execution platform and the company's existing information systems (such as ERP, CRM, etc.). This may lead to data silos, affect the accuracy and timeliness of data, and thus hinder the company's comprehensive digital transformation and intelligent manufacturing.

[0009] 3. The level of intelligence needs to be improved: The current manufacturing execution platforms on the market still have room for improvement in terms of intelligence. For example, functions such as intelligent scheduling, intelligent diagnosis, and intelligent prediction may not be perfect or mature enough to fully tap the potential of intelligent manufacturing.

[0010] 4. Usability issues: Some manufacturing execution platforms may have deficiencies in user experience and usability, such as unfriendly interface design and complicated operation procedures. These issues will increase operator training costs and reduce system application efficiency.

[0011] 5. Compliance and security challenges: With the continuous improvement of regulatory requirements and the increasing emphasis on data security by enterprises, manufacturing execution platforms also face challenges in terms of regulatory compliance and security. Existing systems may have loopholes or deficiencies in dealing with complex regulatory compliance and data security requirements.

[0012] 6. The issue of balancing benefits: For small and medium-sized photovoltaic aluminum frame manufacturers, the use of a manufacturing execution platform often requires a high initial investment cost, and it is difficult to obtain significant returns in the short term, causing some companies to be cautious about introducing advanced manufacturing execution systems.

[0013] In view of the above problems, further optimization and improvement of the photovoltaic aluminum frame manufacturing execution platform becomes necessary. The present invention aims to solve the deficiencies in these existing technologies by providing a more customized, intelligent and easy-to-use photovoltaic aluminum frame manufacturing execution platform system to improve production efficiency, product quality and resource utilization efficiency, and meet the diversified needs of photovoltaic aluminum frame manufacturing companies. Summary of the invention

[0014] The present invention aims to solve one of the technical problems existing in the prior art or related technology. To this end, the technical solution adopted by the present invention is: a photovoltaic aluminum frame manufacturing execution platform system, including: FTPC MOM platform integrates automated production scheduling, material tracking and management functions. Through intelligent scheduling algorithms and real-time material tracking systems, it efficiently manages the entire process of photovoltaic aluminum frame manufacturing to significantly improve production efficiency. Through the application of this platform, errors in manual operations are significantly reduced, ensuring the smoothness and efficiency of the production process.

[0015] In a preferred example, the present invention can be further configured as follows: the FTPC MOM platform includes a production process control module, which can accurately control multiple process parameters involved in the production process, including but not limited to temperature, pressure and speed, and continuously adjust these parameters through a closed-loop feedback mechanism to ensure the stability and consistency of product quality. Through the control of this module, various parameters in the production process can be accurately adjusted, significantly improving the consistency and reliability of the product.

[0016] In a preferred example, the present invention can be further configured as follows: the platform includes a real-time data acquisition and monitoring module, which can collect key data including product quality, output and energy consumption in real time during the production process, and identify potential quality problems through data analysis models, and adjust production process parameters in time, thereby effectively avoiding the generation of defective products. The implementation of this module enables quality problems in the production process to be discovered and resolved in a timely manner, reducing the scrap rate and improving the yield rate.

[0017] In a preferred example, the present invention can be further configured as follows: the platform includes a factory modeling and resource management module, which realizes real-time optimization of production resources by building a digital factory model, and can automatically dispatch equipment and human resources according to production demand and resource availability to reduce resource waste and improve production efficiency. This module effectively optimizes the resource allocation of the factory, reduces equipment idleness and resource waste, and significantly improves the operating efficiency of the production line.

[0018] In a preferred example, the present invention can be further configured as follows: the platform includes an accurate inventory management module, supports real-time material tracking, and can automatically generate inventory warnings and replenishment suggestions according to the production plan to avoid inventory backlogs and shortages, thereby reducing inventory-related costs. The module reduces material shortages and surpluses, reduces inventory costs and improves production continuity by accurately managing inventory.

[0019] In a preferred example, the present invention can be further configured as follows: the platform supports multi-cluster server deployment, provides load balancing and redundancy functions, ensures the stability and efficiency of the system during high concurrent access, and can automatically switch to a redundant server when a server fails to avoid interruption of production management. This configuration ensures the stable operation of the system under high concurrency, and production management can continue smoothly even if a server failure occurs.

[0020] In a preferred example, the present invention can be further configured as follows: the platform adopts a cache strategy and an asynchronous update mechanism to persist frequently accessed data objects in memory, and asynchronously updates them to the database in the background, significantly improving the response speed of the system, reducing the read and write pressure of the database, and improving data processing efficiency. Through the application of this strategy, the response speed of the system is greatly improved, ensuring the high efficiency of data processing and the stability of system operation.

[0021] In a preferred example, the present invention can be further configured as follows: the platform includes a graphical factory modeling and visual operation guidance module, which displays key process points and equipment status in the production process through an intuitive three-dimensional factory model, and supports providing real-time operation guidance to operators through animation or graphics. When an abnormality occurs in the production link, it can automatically trigger a predefined processing flow, promptly alarm and prompt relevant personnel to handle it. Through the implementation of this module, operators can intuitively understand and promptly respond to abnormal situations in production, thereby improving production safety and operational efficiency.

[0022] In a preferred example, the present invention can be further configured as follows: the process object model of the platform can abstract and encapsulate production objects such as process paths, products, and spare parts in production, and provide standardized interface methods to support users to customize the properties and methods of extended objects to meet the needs of different production processes and achieve flexible production process management and data processing. Through the implementation of the process object model, the system can flexibly adapt to different production needs, simplify the management of production processes, and improve the scalability of the system.

[0023] In a preferred example, the present invention can be further configured as follows: the platform provides an easy-to-use secondary development environment, and users can quickly define business processes through a graphical development interface. The system's built-in production logic objects and data operation modules can automatically handle underlying data operations, allowing users to focus on the development of business logic, greatly improving development efficiency and system maintainability. With the support of this development environment, users can quickly implement customized development of business processes, greatly improving the system's development efficiency and the convenience of subsequent maintenance.

[0024] The beneficial effects achieved by the present invention are: 1. In the present invention, the photovoltaic aluminum frame manufacturing execution platform system significantly improves production efficiency by integrating automated and intelligent production scheduling, material tracking and management functions. These functions reduce manual intervention and human errors, optimize the production process, and achieve higher production continuity and stability. By monitoring the production status in real time, the system can dispatch resources in a timely manner and quickly respond to emergencies in production, such as equipment failure or material shortage, thereby ensuring a smooth and efficient production process.

[0025] 2. In the present invention, by integrating a comprehensive quality management module and precise process control functions, the stability and consistency of product quality in the photovoltaic aluminum frame manufacturing process is ensured. The platform precisely controls production process parameters such as temperature, pressure, speed, etc., avoiding product failures caused by process fluctuations. At the same time, through real-time data collection and monitoring, the system can detect potential quality problems at an early stage and make timely adjustments, thereby avoiding the production of a large number of defective products.

[0026] 3. In the present invention, by optimizing factory modeling and resource management, production resources are rationally allocated, thereby effectively reducing production costs. The platform supports real-time monitoring and dynamic scheduling of production resources, avoiding waste of resources and unnecessary equipment downtime. At the same time, precise inventory management functions ensure real-time tracking and management of materials, avoiding inventory backlogs and shortages, thereby further reducing inventory-related costs. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific implementation methods. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention.

[0028] Embodiment 1:

[0029] The present invention provides a photovoltaic aluminum frame manufacturing execution platform system, including an FTPC MOM platform, which integrates automated production scheduling, material tracking and management functions to significantly improve production efficiency in the photovoltaic aluminum frame manufacturing process.

[0030] Production Scheduling and Material Management FTPC MOM platform manages the entire production process efficiently through intelligent scheduling algorithms and real-time material tracking systems. Intelligent scheduling algorithms are based on genetic algorithms and linear programming models. They can automatically generate the optimal production scheduling plan based on multiple variables such as order requirements, equipment status, material inventory, etc., reducing errors in manual scheduling. The algorithm maximizes production efficiency and ensures balanced resource utilization by continuously optimizing the objective function.

[0031] The material tracking system uses RFID technology and sensor networks to monitor the flow of materials on the production line in real time. RFID tags are attached to each batch of materials, and the sensor network collects the location information of the materials in real time and uploads it to the central database. The system analyzes this information to ensure that the supply of materials required for production is sufficient, and automatically generates replenishment requests or adjusts production plans when there is a shortage of materials or abnormal logistics.

[0032] During the production process, the system can monitor the production status in real time and quickly dispatch resources in emergencies such as equipment failure or material shortage, such as activating backup equipment or allocating materials from nearby factories, to ensure the continuity and stability of the production process.

[0033] Quality Management and Process Control In order to ensure the product quality during the manufacturing process of photovoltaic aluminum frames, the present invention integrates a comprehensive quality management module and precise process control functions. The system can monitor multiple key process parameters (such as temperature, pressure, speed, etc.) in real time. The monitoring of each process parameter adopts high-precision industrial sensors, which are integrated with the platform through the Modbus communication protocol and transmit data to the central processing unit in real time.

[0034] The closed-loop feedback mechanism is based on fuzzy control algorithms and PID controllers. When a parameter is detected to deviate from the preset value, the system will automatically adjust the process parameters to ensure the stability of the production process. For example, if the temperature sensor detects that the temperature is out of range, the system will automatically adjust the power output of the heater to return the temperature to the set range.

[0035] The system's real-time data acquisition and monitoring module can monitor quality parameters during the production process, such as surface flatness, frame thickness, etc. After the data is collected by sensors, it is analyzed by the central processing unit. The system uses Bayesian classifiers and support vector machines (SVM) to analyze the data, identify potential quality issues, and adjust production parameters in a timely manner to avoid the production of large-scale defective products.

[0036] Plant Modeling and Resource Optimization The present invention also includes an optimized factory modeling and resource management module. Through the construction of a digital factory model, the platform can achieve real-time optimization of production resources. The model is built using 3D simulation software, and the factory environment is digitally simulated through tools such as Simulink and MATLAB to achieve visual management of the internal equipment layout, material flow, and resource allocation of the factory.

[0037] Resource optimization uses a scheduling algorithm based on genetic algorithms. The system can automatically schedule equipment and human resources according to production demand and resource availability to achieve efficient resource utilization. For example, when a piece of equipment fails, the system can immediately allocate alternative equipment or arrange maintenance personnel for maintenance to reduce equipment downtime.

[0038] The precise inventory management module achieves real-time tracking and management of materials through integration with the ERP system. The system uses big data analysis to model historical material usage data, predict future material demand, and automatically generate inventory warnings and replenishment suggestions based on production plans to avoid production stagnation or increased operating costs due to inventory backlogs or shortages.

[0039] Multi-cluster server deployment and efficient data processing The platform of the present invention supports multi-cluster server deployment, and ensures the stability and efficiency of the system during high concurrent access by providing load balancing and redundancy functions. The load balancer monitors the load of the server in real time and distributes requests to servers with lower loads. At the same time, when a server fails, the system automatically switches to a backup server to ensure the continuous operation of the system.

[0040] The platform adopts a cache strategy and asynchronous update mechanism to persist frequently accessed data objects in memory and asynchronously update them to the database in the background. In the specific implementation, the Redis cache system is used for persistent storage of data, while the MySQL database is used for asynchronous data update operations. This solution greatly improves the system's response speed, reduces the read and write pressure of the database, and improves data processing efficiency.

[0041] Graphical factory modeling and visual operation guidance The platform also includes a graphical factory modeling and visual operation guidance module, which displays key process points and equipment status in the production process through intuitive 3D factory models. The 3D model is designed through AutoCAD and SolidWorks, and is rendered in real time in the browser through WebGL technology.

[0042] This module supports providing real-time operation guidance to operators through animation or graphics. When an abnormality occurs in the production process, the system can automatically trigger the predefined processing flow, prompt relevant personnel to handle it through visual and sound alarms, and provide specific operation steps and emergency plans.

[0043] Process object model and secondary development environment The process object model in the present invention can abstract and encapsulate production objects such as process paths, products, spare parts, etc. in production, and provide standardized interface methods. The object model is designed based on the idea of ​​object-oriented programming (OOP). Each process object contains its attributes (such as process parameters) and methods (such as parameter adjustment), and interacts with other modules of the system through RESTful API.

[0044] The secondary development environment provides an Eclipse-based development platform, where users can quickly define business processes through a graphical interface. The platform pre-sets a variety of production logic objects and data operation modules, and developers can complete the design of business processes through simple drag and drop operations. The system automatically processes underlying data operations through a built-in scripting engine (such as Python or JavaScript), allowing users to focus on the development of business logic, thereby greatly improving development efficiency and system maintainability.

[0045] The above embodiments specifically describe the functions of each module of the present invention and its application in the manufacture of photovoltaic aluminum frames, covering all the contents in the claims and highlighting the innovation and practicality of the present invention. The design of the present invention realizes a high degree of automation and intelligence in the production process, greatly improves production efficiency, product quality and resource utilization efficiency, and is suitable for efficient production management of photovoltaic aluminum frame manufacturing.

[0046] Implementation:2:

[0047] In Example 2, the present invention further optimizes and expands the functions of the photovoltaic aluminum frame manufacturing execution platform system to better adapt to the complex requirements of the actual production environment and enhance the flexibility and scalability of the system.

[0048] Multi-factory collaborative production management The FTPC MOM platform of the present invention can not only manage the production of a single factory, but also support the collaborative production management of multiple factories. Through the multi-factory integrated module, data sharing and resource intercommunication can be achieved between factories through the Internet or a dedicated network. The system adopts a distributed database architecture, which can synchronize the production data and inventory information of each factory across regions to ensure collaborative production between factories.

[0049] The system intelligently allocates production tasks based on the production capacity and current status of different factories. Through dynamic scheduling algorithms, the system can allocate materials and equipment across factories. For example, when a production line in Factory A stops due to material shortage, the system can automatically instruct Factory B to ship the goods to ensure the continuity of production.

[0050] Modular process parameter configuration In Example 2, the platform provides a modular process parameter configuration function. Users can quickly configure the parameters of different production processes, including temperature, pressure, speed, etc., based on process templates through a graphical interface. The system has built-in multiple standardized process templates, which users can directly apply or customize based on production needs.

[0051] The process parameter configuration module used by the system is based on a dynamic configuration file and supports hot loading, allowing users to dynamically adjust process parameters during the production process to adapt to the production needs and quality requirements of different batches.

[0052] Enhanced real-time monitoring and early warning mechanism The present invention strengthens the real-time monitoring and early warning mechanism in Example 2. The system adds real-time status monitoring of key equipment, and can monitor key parameters such as operating temperature, voltage, and current of the equipment through the SCADA system. When abnormal parameters or equipment failure are detected, the system can immediately issue an early warning and notify relevant operators through text messages, emails, or instant messaging tools.

[0053] The system supports big data analysis. Combined with historical data, the system can predict equipment failure trends, analyze equipment operation data through machine learning algorithms (such as decision trees, random forests, etc.), identify potential failure points in advance, and arrange preventive maintenance to reduce equipment downtime and avoid production accidents.

[0054] Intelligent inventory optimization management The inventory management module of the present invention is further optimized in Example 2. Through integration with the supplier system, the platform can obtain material supply information in real time, and automatically generate purchase orders and inventory replenishment suggestions based on production plans and material consumption.

[0055] The platform uses demand forecasting models based on time series analysis (such as the ARIMA model) to predict future material demand and automatically adjust inventory levels according to production scheduling. The system can track the service life and batch information of materials to ensure that the materials used in the production process meet quality requirements while avoiding the use of expired materials.

[0056] Supports device integration of multiple communication protocols In this embodiment, the platform enhances the integration capability with various production equipment and supports multiple industrial communication protocols, such as Modbus, PROFINET, Ethernet / IP, etc. The system exchanges real-time data with devices of different protocols through a unified communication interface layer to achieve comprehensive monitoring and control of equipment status and production data.

[0057] This function enables the platform to be compatible with devices from different manufacturers, adapt to various complex production environments, and improve the flexibility and scalability of the system. At the same time, the system also supports the OPC UA standard, further enhancing the interoperability of cross-platform and cross-manufacturer devices.

[0058] Customized data analysis and report generation The platform of the present invention adds a custom data analysis and report generation function in Example 2. Users can customize analysis dimensions and indicators such as production efficiency, equipment utilization, energy consumption, product qualification rate, etc. through a drag-and-drop interface. The system provides a variety of visualization tools (such as charts, dashboards, and report generators) to help users generate intuitive production data reports.

[0059] The system's built-in report generation engine supports multi-format output (such as PDF, Excel, HTML, etc.). Users can customize report templates as needed and automatically generate reports on a regular basis for management review and decision-making.

[0060] Efficient user rights management In order to meet the usage requirements of different user roles, the present invention introduces an efficient user rights management system in Example 2. The platform supports role-based access control (RBAC), and administrators can assign different access rights to different roles, including process parameter setting, production data viewing, equipment control, etc.

[0061] The system also supports multi-factor authentication (MFA), which ensures the authenticity of user identity and the security of the system through passwords, SMS verification codes, fingerprint recognition, etc. The permission management system can record user operation logs and generate operation reports regularly for easy auditing and tracking.

[0062] Working principle and use process of the present invention The photovoltaic aluminum frame manufacturing execution platform system of the present invention is a multifunctional manufacturing execution system (MOM) that integrates automated production scheduling, material tracking and management, quality control, real-time monitoring, etc. The system realizes intelligent management of the entire photovoltaic aluminum frame manufacturing process through the FTPC MOM platform.

[0063] 1.Automated production scheduling: The system has a built-in intelligent scheduling algorithm that can automatically generate the optimal production scheduling plan based on order requirements, production plans, equipment status and material conditions. The system dynamically adjusts the production process through the Bayesian network model to ensure maximum resource utilization and improved production efficiency.

[0064] 2. Real-time material tracking and management: The material management module can track the inventory of materials required for production in real time. Through the material tracking system, it monitors the entire process of materials from the warehouse to the production line. The system uses RFID tag technology and combines IoT sensors to collect material location information and status data in real time. When it is detected that the material inventory is close to the warning line, the system automatically issues a replenishment request and generates a purchase order through the supply chain management system.

[0065] 3. Process parameter control and quality management: Through the process control module, the system can accurately control the key process parameters (such as temperature, pressure, speed, etc.) in the production process to ensure the stability and consistency of each production link. The quality management module identifies potential quality problems in the production process through real-time data collection and monitoring, and automatically adjusts related process parameters to prevent the production of defective products.

[0066] 4. Real-time monitoring and early warning mechanism: The system uses a variety of sensors and data acquisition devices to monitor the operating status of equipment and key data in the production process (such as temperature, current, pressure, etc.) in real time. When an abnormal situation is detected, the system automatically triggers the early warning mechanism and notifies the relevant operators through SMS, email or instant messaging tools to ensure the continuity of production and the safety of equipment.

[0067] 5. Factory modeling and resource optimization: The platform achieves optimal allocation of production resources through a digital factory model. The system can monitor the equipment, human resources and materials in the factory in real time, automatically dispatch resources according to production needs, ensure efficient production operation and reduce resource waste.

[0068] 6. User rights and data security: The system supports multi-user and multi-role authority management. Administrators can set different operating permissions for different users to ensure the security of system operations. At the same time, the system adopts advanced data encryption and backup mechanisms to ensure the security and reliability of production data.

[0069] Usage Process System initialization and configuration: The system administrator logs in to the FTPC MOM platform to complete the initial configuration of the system, including user authority settings, production process parameter settings, and equipment and material information entry.

[0070] The administrator sets the communication protocol of the equipment according to the actual situation of the factory and ensures that all equipment is connected to the platform normally.

[0071] Production schedule generation: Personnel input production order information, and the system automatically generates a production schedule based on order requirements and current production status.

[0072] The system takes into account factors such as material inventory, equipment status and production capacity, and dynamically adjusts the schedule to ensure optimal production efficiency.

[0073] Material tracking and management: The system monitors the usage of materials in real time. When it detects that the material inventory is approaching the warning line, the system automatically issues a replenishment request.

[0074] After the materials arrive, the system records the batch information of the materials and tracks their usage to ensure seamless material supply in the production process.

[0075] Production process monitoring: During the production process, the system collects equipment status and process parameters in real time through sensors and performs data analysis.

[0076] When abnormal conditions are detected, such as temperature fluctuations or equipment failures, the system automatically adjusts process parameters and triggers an early warning to notify relevant personnel for timely processing.

[0077] Quality control and optimization: The system conducts real-time analysis of quality data in the production process, identifies possible quality problems and takes preventive measures.

[0078] Through the process control module, the system automatically adjusts relevant process parameters to ensure the stability of product quality.

[0079] Production report and data analysis: After production is completed, the system generates a detailed production report, including production efficiency, quality indicators, energy consumption data, etc.

[0080] Users can view production data through a graphical interface and use built-in data analysis tools to identify bottlenecks and optimization opportunities in production.

[0081] System maintenance and updates: Back up data regularly and update system software and device firmware when necessary to ensure the security of the platform.

[0082] Administrators can use secondary development tools to customize system functions to adapt to changing production needs.

[0083] Through the above working principles and usage processes, the photovoltaic aluminum frame manufacturing execution platform system of the present invention can effectively improve production efficiency, ensure product quality, optimize resource allocation, and realize efficient and intelligent production management.

[0084] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0085] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. Photovoltaic aluminum frame manufacturing execution platform system, characterized by: include: An FTPC MOM platform that integrates automated production scheduling, material tracking and management functions. The platform uses intelligent scheduling algorithms and real-time material tracking systems to achieve efficient management of the entire photovoltaic aluminum frame manufacturing process, thereby reducing manual intervention and improving production continuity and stability.

2. The photovoltaic aluminum frame manufacturing execution platform system according to claim 1 is characterized in that: The platform further includes a production process control module, which can accurately control multiple process parameters involved in the production process, including but not limited to temperature, pressure and speed, to ensure the accuracy of various parameters in the production process, and continuously adjust the process parameters through a closed-loop feedback mechanism, thereby improving the stability and consistency of product quality.

3. The photovoltaic aluminum frame manufacturing execution platform system according to claim 2 is characterized in that: The platform includes a real-time data acquisition and monitoring module, which can collect key data including product quality, output and energy consumption in real time during the production process, and identify potential quality problems through data analysis models, and adjust production process parameters in time, thereby effectively avoiding the production of defective products and improving the yield rate.

4. The photovoltaic aluminum frame manufacturing execution platform system according to claim 1 is characterized in that: The platform includes an optimized factory modeling and resource management module, which realizes real-time optimized configuration of production resources by building a digital factory model. It can automatically schedule equipment and human resources according to production demand and resource availability to reduce resource waste and improve production efficiency.

5. The photovoltaic aluminum frame manufacturing execution platform system according to claim 4 is characterized in that: The platform further includes a precise inventory management module that supports real-time material tracking and can automatically generate inventory warnings and replenishment suggestions based on production plans, thereby avoiding production stagnation or inventory backlogs due to insufficient or excessive materials and reducing inventory-related operating costs.

6. The photovoltaic aluminum frame manufacturing execution platform system according to claim 1, characterized in that: The platform supports multi-cluster server deployment, and ensures the stability and efficiency of the system during high concurrent access by providing load balancing and redundancy functions. It can automatically switch to redundant servers when a server fails to avoid interruption of production management.

7. The photovoltaic aluminum frame manufacturing execution platform system according to claim 6, characterized in that: The platform adopts a caching strategy and asynchronous update mechanism to persist frequently accessed data objects in memory and asynchronously update them to the database in the background, which significantly improves the system's response speed, reduces the read and write pressure on the database, and improves data processing efficiency.

8. The photovoltaic aluminum frame manufacturing execution platform system according to claim 1, characterized in that: The platform includes a graphical factory modeling and visual operation guidance module, which displays key process points and equipment status in the production process through an intuitive three-dimensional factory model, and supports providing real-time operation guidance to operators through animation or graphics. When an abnormality occurs in the production link, it can automatically trigger the predefined processing flow, promptly alarm and prompt relevant personnel to handle it.

9. The photovoltaic aluminum frame manufacturing execution platform system according to claim 8, characterized in that: The process object model of the platform can abstract and encapsulate production objects such as process paths, products, spare parts, etc. in production, and provide standardized interface methods to support users to customize the properties and methods of extended objects to meet the needs of different production processes and achieve flexible production process management and data processing.

10. The photovoltaic aluminum frame manufacturing execution platform system according to claim 9, characterized in that: The platform provides an easy-to-use secondary development environment. Users can quickly define business processes through a graphical development interface. The system's built-in production logic objects and data operation modules can automatically handle underlying data operations, allowing users to focus only on the development of business logic, greatly improving development efficiency and system maintainability.