CN118409548A - A manufacturing cloud platform based on MES system - Google Patents

Abstract

The invention belongs to the technical field of MES cloud platforms, and particularly relates to a manufacturing cloud platform based on an MES system, which comprises a demand analysis technology, a system integration technology, a data acquisition technology, a data processing technology, a process control technology, a data security technology, a mobile technology and an artificial intelligence technology, wherein through demand analysis, a development team improves the functional demand, the operation demand and the interface demand of the system through customer demands so as to be in butt joint with customers, realize the modes of monitoring production process in real time, collecting production data, optimizing production plan, managing production process, improving production efficiency and production quality and the like, coordinate production activities in enterprises, improve the production efficiency of the enterprises, reduce production cost and improve the product quality, effectively control the production process, realize traceability and strengthen the product quality management.

Description

A manufacturing cloud platform based on MES system

Technical Field

The present invention relates to the technical field of MES cloud platform systems, and in particular to a manufacturing cloud platform based on an MES system.

Background technique

In the current context of vigorously promoting the development of a modern industrial system, the deep integration of informatization and industrialization has become a key strategy to accelerate the transformation of industrial enterprises from large to strong. As the main body of this transformation, enterprises need to promote the transformation of their development strategies through the informatization and comprehensive integration of key links. Especially in the automotive industry, an important pillar of the real economy, building an efficient manufacturing execution system (MES) has become the core of meeting strategic requirements and achieving digital transformation. This study focuses on the planning and implementation of the MES system in the general assembly workshop of Company A, aiming to explore the application prospects and scientific significance of the system in the context of intelligent manufacturing, especially its impact on improving production automation and integrated management and control capabilities.

As the core of the information strategy, the MES system can greatly enhance the core competitiveness of enterprises. For example, in the automotive manufacturing industry, the implementation of the MES system has many strategic significances and practical benefits. First, through the optimization of production planning management, the MES system can open up the information flow between systems and automatically distribute production tasks to each welding line in the workshop, which has a direct and important role in improving the production rhythm. Furthermore, the production process management not only achieves the accuracy of process control through tracking and collecting the entire process of the vehicle, but also adds error prevention and alarm functions, greatly improving the safety and reliability of production.

Quality management effectively controls the outflow of quality problems by implementing closed-loop management of defects, ensuring high standards and high quality of products. The equipment management function ensures the efficient operation and maintenance of equipment through real-time alarms and prompts for on-site equipment, reducing the operating failure rate and maintenance costs. Energy management has significant practical significance for promoting energy conservation and emission reduction in enterprises by collecting and analyzing energy instrument data in each workshop in real time. To this end, a manufacturing cloud platform based on the MES system is proposed.

Summary of the invention

The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

Therefore, the purpose of the present invention is to provide a manufacturing cloud platform based on the MES system, which can achieve more advanced production scheduling and adapt to changes in market demand through real-time data processing and faster response time. The introduction of such a system can significantly improve production efficiency and reduce production delays and resource waste caused by improper scheduling.

To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:

A manufacturing cloud platform based on an MES system, comprising:

Integration unit, data acquisition unit, data processing unit, process control unit, data security technology unit and mobile technology unit, the above units cooperate to form the workshop MES system, where:

Integration unit, used for data integration with various external systems, such as data interaction with ERP, PLM, CRM and other systems, to achieve comprehensive management and optimization of the production process;

The data acquisition unit is connected to the data processing unit and is used to collect various data on site, such as production plan, equipment status, material usage, labor hours, etc., and transmit the collected data information to the data processing unit;

The data processing unit is connected to the integration unit to process, analyze and compile statistics on the data collected by the data collection unit to form reports and analysis results of the production process and quality control to support management decisions. Through data processing and analysis, it can automatically generate data and reports in the enterprise and coordinate them according to the actual development of the enterprise to promote the stable development of the enterprise and the stable improvement of management level.

The process control unit is connected to the integrated unit and is used to monitor the production process and adjust the production plan, production process, material delivery, etc. in real time to optimize the production process. For example, machine learning and big data analysis are used for intelligent production management and predictive analysis. At the production planning level, the information fed back by the MES system is used to timely update relevant data and improve plans to increase the agility of the production system. In terms of production control, the MES system collects production operation site data in real time and comprehensively through CNC equipment, barcode system, kanban system, etc., and makes corresponding analysis, feedback, and processing, and then uses this to conduct production scheduling;

The data security technology unit is connected to the integrated unit and uses various security technologies, such as data backup, authority control, and data encryption, to ensure the security and reliability of the system;

The mobile technology unit is connected to the integrated unit to support access and operation of the mobile terminal to meet the needs of on-site management and operators. In the actual application of the system by enterprises, fixed terminals such as computers are often restricted by factors such as harsh workshop environment and limited on-site conditions. The combination of mobile terminals and fixed terminals ensures the convenience and effectiveness of system operation in the production process of enterprises, and deepens the application level and scope of the enterprise MES system.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the data acquisition unit is established on the basis of automatic identification technology and sensor technology, relying on various sensors, PLC and other automation equipment, and recording production information in real time to flexibly respond to production needs. It plays an important role in realizing intelligent information management and ensuring the validity of production data.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the workshop MES system design includes the following steps:

(1) Requirements analysis: In-depth analysis of the production process and management requirements of the final assembly workshop to determine the core functions that the MES system must achieve, such as production scheduling, quality control, equipment management, and energy monitoring. At the same time, the compatibility of the system with the existing industrial environment is considered, and potential technical and operational challenges are identified;

(2) System design: Based on the results of the requirements analysis, the architecture of the MES system, including its software and hardware components, will be designed. The system design will focus on a modular structure to support flexible functional expansion and maintenance. In addition, the design phase will also involve the optimization of data security and user interface to ensure the ease of use and security of the system.

(3) Implementation Plan: Develop a detailed implementation plan, including the timetable for system deployment, required resources, key milestones, and risk management strategies. The implementation phase will adopt a step-by-step strategy to ensure the successful completion of each phase and allow for necessary adjustments to the plan and design.

(4) System testing and evaluation: During the system development process, functional and performance tests are performed regularly to ensure that the system meets the predetermined quality standards. After the system is completed, a comprehensive evaluation is conducted to measure its specific impact on workshop production efficiency and product quality.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the technical route of the workshop MES system includes the following:

(1) Modular design: By adopting a modular design approach, the flexibility and maintainability of the MES system are improved, and the system can be built and modified on a modular basis, making future expansion, adjustment or upgrade more convenient and cost-effective. Modularity also helps isolate problems in the system and avoid comprehensive failures.

(2) Agile development: In order to quickly respond to demand changes and technical challenges in the production environment, an agile development strategy is adopted. Agile development supports faster iterations and allows the project team to continuously evaluate the direction and progress of the project during the development process to ensure that development activities are consistent with user needs and project goals.

(3) User-centered design: This emphasizes putting users at the center of the design process, ensuring that the system's user interface and operating logic can meet the actual operating habits and needs of end users. By implementing user-centered design, the system's usability is improved, ensuring that users can use the system efficiently and intuitively.

(4) Data-driven decision-making: During the design and implementation phase of the entire system, data analysis will be used extensively to guide the decision-making process and optimize system performance. By analyzing existing data, we can gain insight into potential efficiency bottlenecks and performance issues, and thus carry out targeted optimization.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the workshop MES system includes six core functions:

(1) Production scheduling management:

The workshop MES system can receive production orders from the upper-level ERP system in real time, and perform detailed decomposition and scheduling of production tasks. The system optimizes the production process and production line configuration according to the actual production capacity and resource status of the workshop, including dynamically adjusting the production plan to adapt to any changes that may occur at the production site, such as machine failure or urgent order requirements. Through highly automated scheduling tools, MES ensures that production activities can be carried out flexibly and efficiently.

(2) Quality control:

The MES system provides comprehensive quality management functions from raw material inspection to finished product delivery. The system monitors the quality of each production link through real-time data collection and analysis, and promptly discovers and corrects quality problems in the production process. This includes not only detecting product defects, but also controlling various factors that may affect quality in the production process, thereby ensuring that the final product meets the quality standards of the enterprise and industry;

(3) Equipment management:

The workshop MES system comprehensively monitors and manages the status of all production equipment. The system not only records equipment operation data, but also analyzes this data to evaluate equipment efficiency and failure rate. Based on this information, MES can optimize equipment use and maintenance plans, implement preventive maintenance of equipment, and reduce production interruptions caused by equipment failures.

(4) Material management:

Through real-time tracking and management of raw materials, semi-finished products and finished products, the MES system ensures the correct use and timely replenishment of materials. The system supports the automation of material requirement planning, reduces inventory costs and avoids production delays caused by material shortages by accurately calculating and predicting material requirements. This function is essential to maintaining production continuity and cost control.

(5) Data analysis and reporting:

The MES system can generate various production reports and performance indicators to provide strong decision-making support for management. The system helps enterprises identify production bottlenecks and inefficient links by deeply analyzing production data. Based on these analyses, management can formulate specific improvement measures, optimize production processes, and improve overall production efficiency.

(6) Personnel management:

The MES system also includes employee performance tracking and labor management functions. By monitoring employee work efficiency and production quality, the system helps management optimize human resource allocation and improve work efficiency. This function not only helps to improve employee productivity, but also enhances employee job satisfaction and the company's human resource management capabilities.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the operation process of the workshop MES system includes the following:

(1) Receiving and parsing production orders:

The system first receives production orders from ERP. These orders contain necessary production details, such as product type, quantity, production deadline, etc. The MES system parses these order requirements, evaluates the required production resources and materials, and makes preliminary scheduling preparations. This step is a key starting point to ensure that all production activities are based on accurate information.

(2) Production Scheduling:

Next, the MES system conducts detailed production scheduling based on the analyzed order requirements and the existing resources in the workshop, which includes optimizing the operation sequence and time arrangement of the production line and allocating necessary human and material resources. The system optimizes scheduling through algorithms to reduce waiting time and improve resource utilization, ensuring smooth and efficient production processes.

(3) Execute production tasks:

After the production task begins, the MES system guides the workshop operation, collects production data in real time, and monitors each production step to ensure that all operations are carried out according to the established process, including the control of production speed, the recording of resource consumption, and the handling of emergencies on the production line;

(4) Quality and equipment monitoring:

Throughout the production process, the system continuously monitors production quality and equipment status. Through real-time data collection and analysis, MES can instantly detect quality problems or equipment failures in production. Once any abnormality is detected, the system immediately notifies relevant personnel or automatically adjusts production parameters to make necessary interventions to minimize production interruptions and quality risks.

(5) Data collection and analysis:

After production is completed, the MES system collects data from the entire production process, including output, quality control records, equipment efficiency, material consumption, etc. The system uses this data for in-depth analysis and generates detailed production reports. These reports provide decision support for management and help identify strengths and weaknesses in production.

(6) Feedback and optimization:

Based on production reports and data analysis results, the MES system will make improvement and optimization suggestions. These suggestions may involve adjusting production processes, reconfiguring resources or modifying production settings. This continuous improvement mechanism of the system enables enterprises to quickly adapt to production changes and market demands and continuously optimize production operations.

As a preferred solution of a manufacturing cloud platform based on the MES system described in the present invention, the integration unit also includes a demand analysis unit. Demand analysis is the first step in the MES development process to determine the specific needs and expected functions of the enterprise. At this stage, the project team meets with key stakeholders from various departments to collect detailed information on production processes, workflows, quality control, equipment management, etc. The demand analysis also includes evaluating the existing IT infrastructure and technical capabilities to determine the technical requirements and constraints of the system. Through demand analysis, the development team can determine the functional requirements, operational requirements and interface requirements of the system, thereby providing accurate guidance for system design.

As a preferred solution of a manufacturing cloud platform based on an MES system described in the present invention, wherein: based on the analysis results of the demand analysis unit, the system design phase involves creating a detailed architecture and design specifications of the MES system. At this stage, the system architect designs the overall structure of the system, including data models, software architecture, and user interface design, and takes into account the scalability, reliability, and security of the system to ensure that the MES can be effectively integrated into the existing enterprise resource planning system and other related systems. At the same time, the design phase also needs to formulate data migration and system integration strategies, as well as predictive maintenance and upgrade plans.

As a preferred solution of a manufacturing cloud platform based on an MES system described in the present invention, the implementation phase includes system construction, testing and deployment. In this phase, the development team writes code, builds various modules of the system, and performs unit testing, integration testing and system testing to ensure that the system meets all business requirements and performance standards.

As a preferred solution of the manufacturing cloud platform based on the MES system described in the present invention, the workshop MES system also includes continuous technical support, system monitoring and regular performance evaluation to solve problems arising during operation, and also includes system optimization and functional upgrades based on user feedback and changing business needs, and regular updates to maintain the long-term effectiveness and adaptability of the system.

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

(1) Improve production efficiency and flexibility

The MES system can achieve more advanced production scheduling and adapt to changes in market demand through real-time data processing and faster response time. The introduction of this system can significantly improve production efficiency and reduce production delays and resource waste caused by improper scheduling.

(2) Enhance data integration and information transparency

Modern MES systems provide powerful data integration tools that enable transparent management of the entire production process. Every link from raw material procurement to finished product delivery can be monitored and managed in real time through the system. This transparency of information not only helps improve management efficiency, but also allows for quick response when problems are discovered, thereby reducing potential risks and costs.

(3) Optimize equipment management and maintenance

Through the predictive maintenance function of the MES system, companies can manage and maintain their equipment more effectively. The system can predict potential failures and maintenance needs based on the real-time operating data of the equipment, thereby reducing unexpected downtime and maintenance costs. This not only improves the service life of the equipment, but also ensures the continuity and stability of the production process.

(4) Improve quality control and material management

The MES system can achieve more detailed and precise quality control and material management. The system can track the quality data and material usage of each production batch to ensure that the product meets the quality standards while reducing material waste. This improvement can not only reduce production costs, but also improve the market competitiveness of products.

(5) Supporting enterprise strategic decision-making and continuous improvement

The introduction of MES system can also help companies collect and analyze a large amount of production-related data to support high-level strategic decision-making. Through in-depth analysis of production data, companies can identify opportunities for improvement and implement continuous improvement strategies to stay ahead in the highly competitive market.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below in combination with the accompanying drawings and detailed embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

Fig. 1 is a schematic diagram of the overall structure of the MES application system design of the present invention;

FIG2 is a schematic diagram of the MES functional modules of the present invention;

FIG3 is a schematic diagram of the core functional modules of the MES of the present invention;

FIG4 is a schematic diagram of the structure of a distribution scheduling module of the present invention;

FIG5 is a schematic diagram of the data access structure of the MES of the present invention;

FIG6 is a schematic diagram of the design of the MES functional modules of the present invention;

FIG. 7 is an E-R model of the MES system database of the final assembly workshop of the present invention.

Detailed ways

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

Secondly, the present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

The present invention provides a manufacturing cloud platform based on the MES system, as shown in Figures 1-6, including an integration unit, a data acquisition unit, a data processing unit, a process control unit, a data security technology unit and a mobile technology unit, and the above units cooperate to form a workshop MES system, wherein:

Integration unit, used for data integration with various external systems, such as data interaction with ERP, PLM, CRM and other systems, to achieve comprehensive management and optimization of the production process;

The data acquisition unit is connected to the data processing unit and is used to collect various data on site, such as production plan, equipment status, material usage, labor hours, etc., and transmit the collected data information to the data processing unit;

The data processing unit is connected to the integration unit to process, analyze and compile statistics on the data collected by the data collection unit to form reports and analysis results of the production process and quality control to support management decisions. Through data processing and analysis, it can automatically generate data and reports in the enterprise and coordinate them according to the actual development of the enterprise to promote the stable development of the enterprise and the stable improvement of management level.

The process control unit is connected to the integrated unit and is used to monitor the production process and adjust the production plan, production process, material delivery, etc. in real time to optimize the production process. For example, machine learning and big data analysis are used for intelligent production management and predictive analysis. At the production planning level, the information fed back by the MES system is used to timely update relevant data and improve plans to increase the agility of the production system. In terms of production control, the MES system collects production operation site data in real time and comprehensively through CNC equipment, barcode system, kanban system, etc., and makes corresponding analysis, feedback, and processing, and then uses this to conduct production scheduling;

The data security technology unit is connected to the integrated unit and uses various security technologies, such as data backup, authority control, and data encryption, to ensure the security and reliability of the system;

The mobile technology unit is connected to the integrated unit to support access and operation of the mobile terminal to meet the needs of on-site management and operators. In the actual application of the system by enterprises, fixed terminals such as computers are often restricted by factors such as harsh workshop environment and limited on-site conditions. The combination of mobile terminals and fixed terminals ensures the convenience and effectiveness of system operation in the production process of enterprises, and deepens the application level and scope of the enterprise MES system.

The data acquisition unit is based on automatic identification technology and sensor technology, relying on various sensors, PLC and other automation equipment. It records production information in real time to flexibly respond to production needs, plays an important role in realizing intelligent information management, and ensures the validity of production data.

The design of workshop MES system includes the following steps:

(1) Requirements analysis: In-depth analysis of the production process and management requirements of the final assembly workshop to determine the core functions that the MES system must achieve, such as production scheduling, quality control, equipment management, and energy monitoring. At the same time, the compatibility of the system with the existing industrial environment is considered, and potential technical and operational challenges are identified;

(2) System design: Based on the results of the requirements analysis, the architecture of the MES system, including its software and hardware components, will be designed. The system design will focus on a modular structure to support flexible functional expansion and maintenance. In addition, the design phase will also involve the optimization of data security and user interface to ensure the ease of use and security of the system.

(3) Implementation Plan: Develop a detailed implementation plan, including the timetable for system deployment, required resources, key milestones, and risk management strategies. The implementation phase will adopt a step-by-step strategy to ensure the successful completion of each phase and allow for necessary adjustments to the plan and design.

(4) System testing and evaluation: During the system development process, functional and performance tests are performed regularly to ensure that the system meets the predetermined quality standards. After the system is completed, a comprehensive evaluation is conducted to measure its specific impact on workshop production efficiency and product quality.

The technical route of the workshop MES system includes the following:

(1) Modular design: By adopting a modular design approach, the flexibility and maintainability of the MES system are improved, and the system can be built and modified on a modular basis, making future expansion, adjustment or upgrade more convenient and cost-effective. Modularity also helps isolate problems in the system and avoid comprehensive failures.

(2) Agile development: In order to quickly respond to demand changes and technical challenges in the production environment, an agile development strategy is adopted. Agile development supports faster iterations and allows the project team to continuously evaluate the direction and progress of the project during the development process to ensure that development activities are consistent with user needs and project goals.

(3) User-centered design: This emphasizes putting users at the center of the design process, ensuring that the system's user interface and operating logic can meet the actual operating habits and needs of end users. By implementing user-centered design, the system's usability is improved, ensuring that users can use the system efficiently and intuitively.

(4) Data-driven decision-making: During the design and implementation phase of the entire system, data analysis will be used extensively to guide the decision-making process and optimize system performance. By analyzing existing data, we can gain insight into potential efficiency bottlenecks and performance issues, and thus conduct targeted optimization.

The workshop MES system includes six core functions:

(1) Production scheduling management:

The workshop MES system can receive production orders from the upper-level ERP system in real time, and perform detailed decomposition and scheduling of production tasks. The system optimizes the production process and production line configuration according to the actual production capacity and resource status of the workshop, including dynamically adjusting the production plan to adapt to any changes that may occur at the production site, such as machine failure or urgent order requirements. Through highly automated scheduling tools, MES ensures that production activities can be carried out flexibly and efficiently.

(2) Quality control:

The MES system provides comprehensive quality management functions from raw material inspection to finished product delivery. The system monitors the quality of each production link through real-time data collection and analysis, and promptly discovers and corrects quality problems in the production process. This includes not only detecting product defects, but also controlling various factors that may affect quality in the production process, thereby ensuring that the final product meets the quality standards of the enterprise and industry;

(3) Equipment management:

The workshop MES system comprehensively monitors and manages the status of all production equipment. The system not only records equipment operation data, but also analyzes this data to evaluate equipment efficiency and failure rate. Based on this information, MES can optimize equipment use and maintenance plans, implement preventive maintenance of equipment, and reduce production interruptions caused by equipment failures.

(4) Material management:

Through real-time tracking and management of raw materials, semi-finished products and finished products, the MES system ensures the correct use and timely replenishment of materials. The system supports the automation of material requirement planning, reduces inventory costs and avoids production delays caused by material shortages by accurately calculating and predicting material requirements. This function is essential to maintaining production continuity and cost control.

(5) Data analysis and reporting:

The MES system can generate various production reports and performance indicators to provide strong decision-making support for management. The system helps enterprises identify production bottlenecks and inefficient links by deeply analyzing production data. Based on these analyses, management can formulate specific improvement measures, optimize production processes, and improve overall production efficiency.

(6) Personnel management:

The MES system also includes employee performance tracking and labor management functions. By monitoring employee work efficiency and production quality, the system helps management optimize human resource allocation and improve work efficiency. This function not only helps to improve employee productivity, but also enhances employee job satisfaction and the company's human resource management capabilities.

The operation process of the workshop MES system includes the following:

(1) Receiving and parsing production orders:

The system first receives production orders from ERP. These orders contain necessary production details, such as product type, quantity, production deadline, etc. The MES system parses these order requirements, evaluates the required production resources and materials, and makes preliminary scheduling preparations. This step is a key starting point to ensure that all production activities are based on accurate information.

(2) Production Scheduling:

Next, the MES system conducts detailed production scheduling based on the analyzed order requirements and the existing resources in the workshop, which includes optimizing the operation sequence and time arrangement of the production line and allocating necessary human and material resources. The system optimizes scheduling through algorithms to reduce waiting time and improve resource utilization, ensuring smooth and efficient production processes.

(3) Execute production tasks:

After the production task begins, the MES system guides the workshop operation, collects production data in real time, and monitors each production step to ensure that all operations are carried out according to the established process, including the control of production speed, the recording of resource consumption, and the handling of emergencies on the production line;

(4) Quality and equipment monitoring:

Throughout the production process, the system continuously monitors production quality and equipment status. Through real-time data collection and analysis, MES can instantly detect quality problems or equipment failures in production. Once any abnormality is detected, the system immediately notifies relevant personnel or automatically adjusts production parameters to make necessary interventions to minimize production interruptions and quality risks.

(5) Data collection and analysis:

After production is completed, the MES system collects data from the entire production process, including output, quality control records, equipment efficiency, material consumption, etc. The system uses this data for in-depth analysis and generates detailed production reports. These reports provide decision support for management and help identify strengths and weaknesses in production.

(6) Feedback and optimization:

Based on production reports and data analysis results, the MES system will make improvement and optimization suggestions. These suggestions may involve adjusting production processes, reconfiguring resources or modifying production settings. This continuous improvement mechanism of the system enables enterprises to quickly adapt to production changes and market demands and continuously optimize production operations.

The integration unit also includes a requirements analysis unit. Requirements analysis is the first step in the MES development process to determine the specific needs and expected functions of the enterprise. At this stage, the project team meets with key stakeholders from various departments to collect detailed information on production processes, workflows, quality control, equipment management, etc. Requirements analysis also includes evaluating existing IT infrastructure and technical capabilities to determine the technical requirements and constraints of the system. Through requirements analysis, the development team can determine the functional requirements, operational requirements, and interface requirements of the system, thereby providing accurate guidance for system design.

Based on the analysis results of the requirements analysis unit, the system design phase involves creating the detailed architecture and design specifications of the MES system. At this stage, the system architect designs the overall structure of the system, including the data model, software architecture, and user interface design, and takes into account the scalability, reliability, and security of the system to ensure that the MES can be effectively integrated into the existing enterprise resource planning system and other related systems. At the same time, the design phase also needs to formulate strategies for data migration and system integration, as well as predictive maintenance and upgrade plans.

The implementation phase includes the construction, testing, and deployment of the system. During this phase, the development team writes code, builds the various modules of the system, and performs unit testing, integration testing, and system testing to ensure that the system meets all business requirements and performance standards.

The workshop MES system also includes continuous technical support, system monitoring and regular performance evaluation to solve problems that arise during operation. It also includes system optimization and functional upgrades based on user feedback and changing business needs, and regular updates to maintain the long-term effectiveness and adaptability of the system.

Example:

In automotive manufacturing companies, MES systems play a key role in ensuring the efficiency and accuracy of the entire production process through a series of highly specialized functional modules. These modules not only support standard production tasks, but are also optimized for the special needs of the automotive industry:

(1) Order processing and vehicle configuration

The order processing module is the core part of the MES system. It processes production orders from the ERP system and manages specific vehicle configuration requirements. It handles the personalized configuration of each order in detail, such as model, color selection, interior options, etc., to ensure that each vehicle is accurately produced according to the customer's specific specifications. This module enables the manufacturing process to flexibly respond to market demand and personalized customer needs, thereby improving customer satisfaction and market competitiveness.

(2) Production line scheduling

The scheduling module is crucial in automobile manufacturing, as it handles complex and ever-changing production line configuration issues. By optimizing the sequence and timing of assembly line operations, the scheduling module ensures efficient operation of various assembly units, such as engine assembly, body painting, and interior assembly. This module ensures optimal allocation of resources through advanced algorithms, improving the efficiency and output quality of the entire production process.

(3) Quality management and tracking

The quality management module plays a core role in automobile manufacturing, ensuring that every component and assembly step strictly complies with international and domestic quality standards. It monitors every detail of the entire production process by implementing detailed inspection points and testing procedures and using a complete tracking system to ensure the high quality of each vehicle. This module helps manufacturers reduce quality accidents and avoid high recall costs.

(4) Equipment and maintenance management

In the highly automated automotive manufacturing industry, the equipment management module is essential for monitoring key equipment such as robotic welding devices and automatic assembly lines. Through preventive maintenance and emergency repair plans, this module helps reduce production interruptions and maintenance costs caused by equipment failures and keeps the equipment in optimal condition.

(5) Logistics and materials management

The Logistics and Materials Management module ensures the smooth operation of the supply chain from raw materials to assembly parts, managing the receipt, storage and supply of materials. Accurate logistics control in the supply chain is critical to avoiding production delays and reducing inventory costs, especially in the automotive manufacturing industry that adopts a JIT (Just-in-Time) strategy.

(6) Data analysis and production report

The data analysis module provides decision support for management by collecting and analyzing production data, such as workshop efficiency, vehicle production cycle and quality control indicators. This module can generate detailed production reports and performance indicators to help companies identify production bottlenecks, optimize production strategies and processes, thereby improving production efficiency and reducing costs.

(7) Labor management and efficiency monitoring

The labor management module focuses on optimizing human resources on the production line. By monitoring employee attendance and work efficiency and dispatching appropriate employees to key operating positions, this module not only improves the productivity of individual employees, but also optimizes the workflow of the entire production line;

Basic structure:

(1) Data Collection Layer

In automobile manufacturing, the role of the data acquisition layer is crucial, because production accuracy and efficiency directly rely on real-time monitoring and accurate data collection. This layer involves a wide range of automated equipment, including robotic welding devices, automatic assembly lines, and various sensors. They collect machine operation data, production line status, environmental conditions and other information in real time to ensure that every action in the production process is accurate and correct.

(2) Information processing layer

The information processing layer is the data center of the MES system, aggregating information from the data collection layer. This layer uses powerful data processing and analysis tools to process operational data, provide real-time decision support and provide a basis for long-term strategic planning. It can extract key information from huge amounts of data, identify trends and potential problems, optimize the production process and predict future production needs.

(3) Application service layer

The application service layer is the interface that directly interacts with users. It provides access to various MES functional modules, such as order processing, production scheduling, quality control, equipment maintenance, and labor management. This layer is designed with a focus on user experience, allowing operators to easily manage complex production tasks through an intuitive interface. This layer also includes custom reports and dashboards, allowing management to easily access key performance indicators and production statistics.

(4) Integration layer

The integration layer ensures seamless integration of the MES system with other enterprise-level systems such as ERP, supply chain management system (SCM), customer relationship management system (CRM), etc. This layer uses standardized interfaces and APIs to ensure smooth exchange and integration of information between systems and support cross-departmental and cross-organizational decision-making. The design of this layer is crucial because it allows information to flow freely throughout the supply chain, thereby achieving a high degree of production coordination and efficiency optimization.

Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims (10)

1. A manufacturing cloud platform based on an MES system, comprising:

The system comprises an integrated unit, a data acquisition unit, a data processing unit, a process control unit, a data security technology unit and a mobile technology unit, wherein the units are matched to form a workshop MES system, and the system comprises the following components:

The integrated unit is used for carrying out data integration with various external systems, such as carrying out data interaction with ERP, PLM, CRM and other systems so as to realize comprehensive management and optimization of the production process;

The data acquisition unit is connected with the data processing unit and used for acquiring various data on site, such as production plans, equipment states, material use conditions, personnel man-hours and the like, and transmitting the acquired data information to the data processing unit;

The data processing unit is connected with the integration unit, processes, analyzes and counts the data acquired by the data acquisition unit to form a report form and an analysis result of production process and quality control so as to support management decision, and can automatically generate data and report forms existing in enterprises through data processing and analysis, coordinate the data and the report forms according to the current actual development condition of the enterprises so as to promote the stable development of the enterprises and promote the stable promotion of management level;

The process control unit is connected with the integration unit and used for monitoring the production process, adjusting the production plan, the production process, the material feeding and the like in real time so as to optimize the production process, such as machine learning, big data analysis and the like, carrying out intelligent production management and predictive analysis, updating related data and improving the plan in time through information fed back by the MES system at the production plan level, increasing the agility of the production system, and carrying out real-time comprehensive acquisition on production operation site data by the MES system in the aspect of production control through numerical control equipment, a bar code system, a signboard system and the like, carrying out corresponding analysis, feedback and treatment, and carrying out production scheduling;

The data security technology unit is connected with the integrated unit and adopts various security technologies such as data backup, authority control, data encryption and the like so as to ensure the security and reliability of the system;

The mobile technology unit is connected with the integrated unit and used for supporting the access and operation of the mobile terminal so as to meet the requirements of field management and operators. In the actual application process of the system of an enterprise, the fixed terminals such as a computer and the like often limit the use of the system due to severe workshop environment, site condition limitation and the like, and the convenience and the effectiveness of the system operation in the production process of the enterprise are ensured by combining the mobile terminal with the fixed terminal, so that the application degree and the application range of the MES system of the enterprise are deepened.

2. The manufacturing cloud platform based on the MES system according to claim 1, wherein the data acquisition unit is based on an automatic identification technology and a sensor technology, and is performed by means of various sensors, a PLC and other automatic equipment, and production information is recorded in real time so as to flexibly cope with production requirements, so that the data acquisition unit plays an important role in realizing intelligent information management, and the effectiveness of production data is guaranteed.

3. The MES system based manufacturing cloud platform as claimed in claim 1, wherein the shop MES system design comprises the steps of:

(1) Demand analysis: deeply analyzing the production flow and management requirements of the assembly shop, determining the core functions which the MES system must realize, such as production scheduling, quality control, equipment management and energy monitoring, and identifying potential technical and operational challenges in consideration of the compatibility of the system with the existing industrial environment;

(2) And (3) system design: based on the result of demand analysis, the architecture of the MES system is designed, including software and hardware components thereof, the system design is focused on a modularized structure to support flexible function expansion and maintenance, and in addition, the design stage also involves data security and optimization of a user interface, so that the usability and the security of the system are ensured;

(3) Embodiments are described below: making a detailed implementation plan, including a schedule of system deployment, required resources, key milestones and risk management policies, the implementation stages will employ a stepwise advancing strategy to ensure successful completion of each stage and allow necessary adjustments to the plan and design;

(4) System testing and evaluation: in the system development process, function and performance tests are regularly carried out to ensure that the system meets the preset quality standard, and after the system is finished, comprehensive evaluation is carried out to measure the specific influence of the system on the production efficiency and the product quality of a workshop.

4. The MES system based manufacturing cloud platform as claimed in claim 2, wherein the shop MES system technical route includes the following:

(1) And (3) modular design: the flexibility and maintainability of the MES system are improved by adopting a modularized design method, and the system is allowed to be built and modified on the basis of the modules, so that future expansion, adjustment or upgrading can be more convenient, cost-effective and efficient, and the modularization is also beneficial to isolating the problems in the system and avoiding comprehensive faults;

(2) Agile development: in order to quickly respond to the demand change and technical challenges in the production environment, a agile development strategy is adopted, agile development supports faster iteration, a project team is allowed to continuously evaluate the direction and progress of a project in the development process, and the development activity is ensured to be consistent with the demands of users and the targets of the project;

(3) User center design: emphasis is placed on the user in the center position in the design process, so that the user interface and the operation logic of the system can meet the actual operation habit and the requirement of the end user, and the usability of the system is improved by realizing the user center design, so that the user can use the system efficiently and intuitively;

(4) Data driven decision: in the design and implementation stage of the whole system, a great deal of data analysis is used for guiding the decision process and optimizing the system performance, and potential efficiency bottlenecks and performance problems are obtained through analysis of the existing data, so that targeted optimization is performed.

5. The MES system based manufacturing cloud platform of claim 1, wherein the shop MES system comprises six core functions:

(1) Production scheduling management:

The workshop MES system can receive the production order of the upper ERP system in real time, decompose and schedule the production task in detail, and optimize the production flow and the production line configuration according to the actual production capacity and the resource condition of the workshop, wherein the production schedule is dynamically adjusted to adapt to any changes possibly occurring in the production field, such as machine faults or emergency order demands, and the MES ensures that the production activity can be flexibly and efficiently carried out through a highly-automated scheduling tool;

(2) And (3) quality control:

The MES system provides a comprehensive quality management function from raw material inspection to finished product delivery, monitors the quality of each production link through real-time data acquisition and analysis, and timely discovers and corrects quality problems in the production process, so that the MES system not only detects product defects, but also controls various factors which possibly influence the quality in the production process, thereby ensuring that the final product meets the quality standards of enterprises and industries;

(3) And (3) device management:

The workshop MES system comprehensively monitors and manages the states of all production equipment, the system records equipment operation data and analyzes the data to evaluate equipment efficiency and failure rate, based on the information, the MES can optimize equipment use and maintenance plans, preventive maintenance of the equipment is realized, and production interruption caused by equipment failure is reduced;

(4) And (3) material management:

Through real-time tracking and management of raw materials, semi-finished products and finished products, an MES system ensures correct use and timely supply of materials, the system supports automation of a material demand plan, inventory cost is reduced through accurate calculation and prediction of material demands, production delay caused by material shortage is avoided, and the function is important for maintaining production continuity and cost control;

(5) Data analysis and reporting:

the MES system can generate various production reports and performance indexes, provides powerful decision support for a management layer, helps enterprises to identify production bottlenecks and links with low efficiency by deeply analyzing production data, and can formulate specific improvement measures, optimize production flow and improve overall production efficiency based on the analysis;

(6) Personnel management:

The MES system also comprises staff performance tracking and labor management functions, and by monitoring the working efficiency and production quality of staff, the system helps a management layer to optimize human resource allocation and improve the working efficiency, and the functions are beneficial to improving the productivity of the staff and can also enhance the working satisfaction of the staff and the human resource management capability of enterprises.

6. The MES system based manufacturing cloud platform as recited in claim 1, wherein the operational flow of the shop MES system comprises the following:

(1) Receiving and parsing a production order:

The system firstly receives production orders from ERP, the orders contain necessary production details such as product types, quantity, production period and the like, the MES system analyzes the demands of the orders, evaluates required production resources and materials and makes preliminary scheduling preparation, and the step is to ensure that all production activities are based on key starting points of accurate information;

(2) Production scheduling:

Next, the MES system carries out detailed production scheduling according to the analyzed order demands and the existing resource conditions of workshops, which comprises optimizing the operation sequence and time arrangement of the production line, allocating necessary manpower and material resource, and optimizing the scheduling by the system through an algorithm so as to reduce waiting time and improve the resource utilization rate and ensure the smoothness and efficiency of the production flow;

(3) Performing production tasks:

After the production task starts, the MES system guides workshop operation, collects production data in real time, monitors each production step by the system, and ensures that all operations are executed according to a set flow, wherein the operations comprise control of production speed, recording of resource consumption and processing of emergency events on a production line;

(4) Quality and equipment monitoring:

In the whole production process, the system continuously monitors the production quality and the equipment state, through real-time data collection and analysis, the MES can immediately find the quality problem or equipment failure in production, and once any abnormality is detected, the system immediately informs related personnel or automatically adjusts production parameters to perform necessary intervention, thereby minimizing production interruption and quality risk;

(5) Data collection and analysis:

after the production is completed, the MES system collects data of the whole production process, including yield, quality control records, equipment efficiency, material consumption and the like, and the system uses the data to carry out deep analysis to generate detailed production reports, wherein the reports provide decision support for a management layer and help identify the advantages and weaknesses in the production;

(6) Feedback and optimization:

based on the production report and the data analysis results, MES systems may make improvements and optimization suggestions that may involve adjusting the production flow, reconfiguring resources, or modifying production settings, and such continuous improvement mechanisms of the system enable enterprises to quickly adapt to production changes and market demands, continuously optimizing production operations.

7. The MES system based manufacturing cloud platform of claim 1, wherein the integration unit further comprises a demand analysis unit, the demand analysis is a primary step in the MES development process to determine specific demands and desired functions of the enterprise, at which stage project teams are interviewed with key stakeholders of each department, detailed information about aspects of production flows, workflows, quality control, equipment management, etc. is collected, the demand analysis further comprises evaluating existing IT infrastructure and technical capabilities to determine technical requirements and constraints of the system, and by the demand analysis, development teams can determine functional requirements, operational requirements, interface requirements, etc. of the system, thereby providing accurate guidance for system design.

8. The manufacturing cloud platform of claim 7, wherein a system design phase involves creating detailed architecture and design specifications of the MES system based on analysis results of the demand analysis unit, at which phase a system architect designs an overall structure of the system, including data model, software architecture and user interface design, and taking into account scalability, reliability and security of the system, ensuring that the MES can be efficiently integrated into existing enterprise resource planning systems and other related systems, while the design phase also requires formulating policies for data migration and system integration, and predictive maintenance and upgrade plans.

9. The MES system based manufacturing cloud platform of claim 8, wherein the implementation phase includes system build, test, and deployment, at which a development team writes code, builds individual modules of the system, and performs unit testing, integration testing, and system testing to ensure that the system meets all business requirements and performance criteria.

10. The MES system based manufacturing cloud platform of claim 1, wherein the shop MES system further includes continuous technical support, system monitoring and periodic performance assessment to solve problems occurring in operation, and further includes optimization and functional upgrades of the system according to user feedback and varying business requirements, periodic updates to maintain long term validity and adaptability of the system.