Matrix workshop production logistics system informatization software and hardware integration system

Abstract

The invention relates to the technical field of manufacturing industry informatization, and provides a matrix workshop production logistics system informatization software and hardware integration system which comprises a business application layer, a software layer and a hardware layer. The business application layer is used for implementing a specific management function in the flexible matrix manufacturing workshop and supporting information circulation in a production process; the business application layer comprises an APS system, an ERP system, an MES system, a PLM system, a logistics scheduling system and an AGV system; the software layer is connected with the business application layer and the hardware layer and is used for processing, communicating and coordinating business data; the software layer comprises subsystems corresponding to the systems of the business application layer; and the hardware layer integrates servers and devices corresponding to the systems of the business application layer and the subsystems of the software layer. According to the invention, a vertical system integration architecture of business layer-software layer-hardware layer is constructed based on a full-life-cycle production logistics business process, and closed-loop control of the full-business process of the flexible matrix manufacturing workshop is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of manufacturing informatization technology, in particular to a matrix workshop production logistics system informatization software and hardware integrated system, which is used for realizing a software and hardware integrated solution of production management, equipment scheduling, logistics collaboration and data integration in a flexible matrix manufacturing workshop. BACKGROUND

[0002] In recent years, with the rapid development of information technology, the intelligent demand of production logistics system is increasing, and the flexible matrix manufacturing workshop needs to realize informatization management and efficient collaboration through software and hardware integration. Full-process informatization and automation not only require the deep integration of production and logistics systems, but also need to build an integrated software and hardware integration method, so as to comprehensively improve the production efficiency, flexible scheduling capability and rapid response capability to market demand of the system. However, the current production logistics system faces many challenges in software and hardware integration, which restricts the development of enterprise intelligence.

[0003] The flexible matrix manufacturing workshop production logistics system needs to respond to production changes in real time in a dynamic environment, but in the existing integrated method, each subsystem runs independently, the operation is complex and lacks real-time data interaction, resulting in low overall collaboration efficiency. Secondly, different manufacturers' equipment and software use inconsistent interfaces and protocols, causing compatibility problems between systems. Enterprises need to develop complex interfaces and convert protocols when integrating these systems, increasing the technical complexity and implementation cost of integration. There is also a lack of efficient data sharing and feedback mechanism between production and logistics systems, which cannot form a closed-loop management from planning to execution, reducing the accuracy of production scheduling and the timeliness of logistics tasks. Therefore, it is of great significance to design a production logistics system informatization software and hardware integration framework based on the whole life cycle of business processes for flexible matrix manufacturing workshops. SUMMARY

[0004] The present application aims to provide a matrix workshop production logistics system informatization software and hardware integrated system to solve the above problems.

[0005] The matrix workshop production logistics system informatization software and hardware integrated system provided by the present application includes a business application layer, a software layer and a hardware layer. The interaction between each layer includes information transmission and feedback mechanism from the upper layer to the lower layer and from the lower layer to the upper layer. The business application layer is used to implement specific management functions in the flexible matrix manufacturing workshop and support information flow in the production process. The business application layer includes an APS system, an ERP system, an MES system, a PLM system, a logistics scheduling system and an AGV system. The software layer connects the business application layer and the hardware layer, and is used for processing, communication and coordination of business data; the software layer comprises subsystems corresponding to each system of the business application layer, namely, an APS subsystem, an ERP subsystem, an MES subsystem, a PLM subsystem, a logistics scheduling subsystem and an AGV subsystem; The hardware layer integrates servers and devices corresponding to each system of the business application layer and each subsystem of the software layer, namely, an APS server, an ERP server, an MES server, a PLM server, a logistics scheduling server and an AGV vehicle.

[0006] In a preferred embodiment, the functions of each system of the business application layer are as follows: The APS system is used for formulating production plans, material and equipment constraint analysis, production scheduling and order priority management; The ERP system is used for order management, inventory management, material management and human resource management; The MES system is used for production task execution, workshop resource scheduling, progress tracking and feedback of production status; The PLM system is used for product design management, workshop resource scheduling, process planning and feedback of production status; The logistics scheduling system is used for logistics resource management, logistics task execution, AGV management and distribution task management; The AGV system is used for logistics transportation, logistics task execution, AGV management and distribution task management.

[0007] In a preferred embodiment, the functions of each subsystem of the software layer are as follows: The APS subsystem is used for sharing information with the ERP subsystem, and transmitting production plans to the MES subsystem; The ERP subsystem is used for sharing information with the APS subsystem, synchronizing order status with the MES subsystem, and working in coordination with the logistics scheduling subsystem; The PLM subsystem is used for providing product design and process information to the MES subsystem; The MES subsystem is used for real-time monitoring of the production process, including receiving production plans from the APS subsystem, providing real-time production execution information to the ERP subsystem, obtaining product design and process information from the PLM subsystem, and working in coordination with the logistics scheduling subsystem; The logistics scheduling subsystem is used for obtaining order information from the ERP subsystem, receiving production completion information provided by the MES subsystem, and working in coordination with the AGV vehicle subsystem; The AGV subsystem is used for executing instructions from the logistics scheduling subsystem, performing material carrying and distribution tasks according to the logistics plan, and synchronizing the status of the AGV vehicle with the logistics scheduling subsystem.

[0008] In a preferred embodiment, the functions of the servers and devices of the hardware layer are as follows: The APS server is used to dynamically formulate the optimal production plan by intelligently analyzing production capacity, material availability and order demand through integrating historical data and real-time production status; The ERP server is used to centrally manage and monitor the whole life cycle of the production process, and provide standardized operation processes; The MES server is used to monitor the production execution process in real time, and provide key production control and data analysis functions; The PLM server is used to optimize the whole life cycle management of products from design to scrap, and support cross-department collaboration; The logistics scheduling server is used to optimize the flow of materials, and ensure timely delivery of materials through scheduling AGV vehicles; The AGV vehicle is used to complete the material transportation task under the scheduling of the logistics scheduling server.

[0009] In a preferred embodiment, the information interaction from the business application layer to the software layer includes: The production plan generated by the APS system is transmitted to the data interaction module of the software layer to update the system state and set specific execution tasks; The resource allocation instructions of the ERP system are also transmitted to the software layer for processing and management by each subsystem; The MES system monitors the production in real time, and feeds back the production progress and quality information to the APS system for dynamic adjustment; Changes in product design and process information in the PLM system are transmitted to the business application layer to update the manufacturing process and production plan.

[0010] In a preferred embodiment, the information interaction from the software layer to the hardware layer includes: The integrated management module in the software layer converts the plans and instructions from the business application layer into operation execution instructions, and sends them to the AGV and servers in the hardware layer to achieve specific task scheduling and process control; The servers in the hardware layer receive the operation execution instructions from the software layer and process the corresponding data.

[0011] In a preferred embodiment, the information interaction from the hardware layer to the software layer includes: The servers and AGV vehicles in the hardware layer upload real-time data to the data interaction module of the software layer to support decision-making.

[0012] In a preferred embodiment, the information interaction from the software layer to the business application layer includes: Through the data interaction module, the data fed back by the hardware layer is analyzed and transmitted back to the business application layer, promoting the decision update of the APS system, the ERP system and the MES system.

[0013] In a preferred embodiment, the interaction between the six subsystems in the software layer specifically includes: The ERP subsystem receives orders from customers through the order management module in the ERP system of the business application layer, parses the order information and stores the parsed order information in the order database, and then transmits the order information to the APS subsystem to start the production planning process; The APS subsystem obtains order demand and inventory status according to the order information transmitted by the ERP subsystem, and then generates an optimal production plan by combining production priority, resource allocation and existing inventory data; and transmits the production plan to the MES subsystem to start production task scheduling; The PLM subsystem provides relevant product design and process information to the MES subsystem; the MES subsystem matches the corresponding process flow according to the production plan; The MES subsystem receives the production plan and generates specific production tasks according to the production plan, and sends scheduling instructions to the logistics scheduling system to coordinate and plan the production scheduling process; during the production process, the MES subsystem collects production data and feeds back the production progress and production completion to the ERP subsystem for updating order information and subsequent supply chain coordination; The logistics scheduling subsystem receives scheduling instructions from the MES subsystem and starts logistics tasks; if material or finished product needs to be transported, the logistics scheduling subsystem cooperates with the AGV subsystem to start the AGV vehicle to perform the transportation task.

[0014] The AGV subsystem receives task instructions from the logistics scheduling subsystem, automatically navigates according to the path planning algorithm, transports materials from the specified location to the target location, and feeds back the vehicle status and task progress in real time to ensure efficient completion of logistics tasks.

[0015] In a preferred embodiment, the interaction between the servers and AGV vehicles in the hardware layer specifically includes: The APS server exchanges data with other servers through industrial Ethernet, and obtains real-time production status and material information; the APS server sends real-time production plans to the ERP server and the MES server, and receives real-time feedback from the MES server to dynamically adjust the production plan; The ERP server connects with the APS server, the MES server and the PLM server through industrial Ethernet, and centrally manages the resources and information flow of the enterprise; The MES server interacts with the APS server, the ERP server and the PLM server in real time through industrial Ethernet, and performs data collection and production process monitoring; The PLM server interacts with the ERP server and the MES server through industrial Ethernet; the PLM server acquires real-time production feedback and market demand data, updates product life cycle information in a timely manner, and transmits product design data and change information to the MES server and the ERP server; The logistics scheduling server optimizes the flow of materials through industrial Ethernet, adjusts the transportation path and mode in real time to minimize the delay of materials in the transportation process; at the same time, the logistics scheduling server can monitor the transportation state, provide accurate estimated arrival time, and ensure timely delivery of materials; The AGV vehicle exchanges data with the MES server and the logistics scheduling server through industrial Ethernet, realizes independent and efficient material transportation.

[0016] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present application are: In the present application, the production logistics business process based on the whole life cycle constructs a vertical system integration architecture of "business layer-software layer-hardware layer", covering the comprehensive management of the whole life cycle from order generation to final execution. At the same time, the subsystems in each layer construct a horizontal data flow mechanism according to different production logistics business needs. This method constructs a complete framework through vertical software and hardware system integration and horizontal subsystem cooperation, realizing closed-loop control of the whole business process of flexible matrix manufacturing workshops.

[0017] The subsystems of the software layer are based on business functions and design a highly expandable API interface with production logistics business process as the core, supporting full-scene function customization, covering all business scenarios from production planning, equipment scheduling to logistics distribution, meeting the business needs at different stages, and avoiding the problem that traditional standardized interfaces cannot adapt to personalized needs. The hardware layer realizes efficient and low-delay real-time connection with each server through industrial Ethernet, which is used to support state monitoring, task instruction transmission and data feedback of production equipment. Efficient cooperation and deep integration of matrix workshop production planning, logistics scheduling, equipment control and data feedback are realized. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 An architecture diagram of a matrix workshop production logistics system information software and hardware integrated system is provided for the embodiment of the present application.

[0019] Figure 2 An interaction principle diagram between the subsystems of the software layer in the embodiment of the present application.

[0020] Figure 3 An interaction principle diagram between the devices of the hardware layer in the embodiment of the present application. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0023] Example like Figure 1 As shown, this embodiment of the invention provides an information-based hardware and software integration system for a matrix workshop production logistics system, including a business application layer, a software layer, and a hardware layer; the application layer, software layer, and hardware layer have a bidirectional information transmission and feedback mechanism; that is, the interaction between each layer includes information transmission and feedback mechanisms from the upper layer to the lower layer and from the lower layer to the upper layer.

[0024] The business application layer is a core component of the integrated hardware and software information system for the flexible matrix manufacturing workshop. It implements specific management functions within the flexible matrix manufacturing workshop and supports information flow during the production process. It includes the following systems: APS (Advanced Planning and Scheduling System), ERP (Enterprise Resource Planning) system, MES (Manufacturing Execution System), PLM (Product Lifecycle Management System), logistics scheduling system, and AGV (Automated Guided Vehicle) system.

[0025] The APS system is specifically used for: Develop production plans, generating detailed production plans based on market demand and production capacity, which serve as the guiding principle for production activities; Material and equipment constraint analysis involves analyzing the capacity and status of materials and equipment involved in the production process to ensure the feasibility of the production plan. Production scheduling, within the framework of production planning, involves precise allocation of time and resources for specific work orders and processes, optimizing the scheduling sequence in the production plan, and reducing equipment idleness and capacity waste. Order priority management sets and dynamically adjusts the production priority of orders based on factors such as urgency, customer importance, or profitability, in order to achieve optimal delivery and resource utilization.

[0026] The ERP system is specifically used for: Order management, handling the receipt, confirmation, execution and settlement of customer orders, overall management of the whole process from order to delivery; Inventory management, real-time monitoring of inventory status, including raw materials, semi-finished products and finished products inventory quantity and status, setting safety stock, preventing material surplus or shortage, optimizing inventory cost; Material management, coding, classification, tracking and management of all materials required for production, ensuring the accuracy of material information and the timeliness of material supply in the supply chain; Human resource management, management of human resources related to production, including employee information, shift scheduling, work hour accounting and performance evaluation, to ensure the rational allocation of human resources.

[0027] The MES system is specifically used for: Production task execution, receiving production instructions from the APS system or ERP system, and decomposing them into specific workshop production tasks, and issuing them to the corresponding production units for execution; Workshop resource scheduling, coordinating the equipment and human resources of each workshop to ensure efficient operation of the production line; Progress tracking, real-time collection of production data, tracking the progress of production tasks, work-in-process status, and realizing the visualization of the production process; Feedback production status, real-time collection and uploading of production data, real-time updating of production progress, quality status and equipment status to support management decision-making.

[0028] The PLM system is specifically used for: Product design management, supporting the whole life cycle management of products from concept design to mass production, recording the change and version information of each stage, including BOM (bill of materials) structure, three-dimensional model, drawing and other design data; Workshop resource scheduling, managing and planning the workshop resource information required for production from the perspective of product design, providing data support for process planning and production preparation; Process planning, defining and managing product manufacturing process routes, process descriptions, processing parameters and other process documents to ensure that products are manufactured correctly and consistently; Feedback production status, receiving production status feedback from the MES system, used to verify the manufacturability of product design, and provide basis for subsequent product improvement and design optimization.

[0029] The logistics scheduling system is specifically used for: Logistics resource management, unified management of warehouse, AGV, transportation route and other logistics resources, optimizing the overall logistics operation efficiency; Logistics task execution, generating and issuing material handling, distribution and other logistics tasks according to production rhythm and material demand, and monitoring the execution process of the tasks; AGV management, intelligent management of AGV scheduling and operation, including task allocation, path planning, traffic control and charging scheduling, to realize efficient and orderly operation of AGV; Distribution task management, fine management of each material distribution task, to ensure that materials are accurately and timely transported from the specified starting point to the specified end point.

[0030] The AGV system is specifically used for: Logistics transportation, according to the scheduling instructions to perform specific material loading, transportation and unloading tasks; Logistics task execution, the vehicle-mounted control system on the AGV analyzes and executes the specific logistics task instructions issued by the upper system; AGV management, AGV has self-management functions such as state self-checking, power monitoring, fault alarm, and reports relevant state information to the logistics scheduling system; Distribution task management, management of the current distribution task information being executed, to ensure accurate point-to-point material distribution.

[0031] The business application layer realizes real-time data flow, intelligent decision support, precise production execution and dynamic resource optimization through multi-system deep integration.

[0032] The software layer serves as a bridge between the business application layer and the hardware layer, and is used for processing, communication and coordination of business data. The software layer is composed of six subsystems, namely: APS subsystem (advanced planning and scheduling subsystem), ERP subsystem (enterprise resource planning subsystem), MES subsystem (manufacturing execution subsystem), PLM subsystem (product lifecycle management subsystem), logistics scheduling subsystem, AGV subsystem. These subsystems mainly communicate between systems through HTTP / HTTPS protocol and standardized API interface, and interact with devices in real time through hardware-supported protocols (such as industrial Ethernet). The specific functions of each subsystem in the software layer are as follows: The APS subsystem exchanges data with the order management module and customer relationship management module in the business application layer through the APS_OrderSync message, to ensure accurate transmission of order requirements. At the same time, the APS subsystem communicates with its own server (hardware layer) and other devices in real time through industrial Ethernet, to adjust the production rhythm and resource allocation of the devices. The APS subsystem shares order information, inventory data and financial data with the ERP subsystem through the APS_ERPDataSync message, to ensure the coordination of production plans and overall enterprise resources; at the same time, the APS subsystem transmits production plans to the MES subsystem through the message APS_MESPlanUpdate, to realize dynamic adjustment of production plans and actual execution. The API interface provided by the APS subsystem is shown in Table 1.

[0033] Table 1, API interface of APS subsystem:

[0034] The ERP subsystem interacts with each system in the business application layer to ensure real-time updating and sharing of information such as human resources, procurement, and orders. The ERP subsystem shares order information, inventory data, and financial data with the APS subsystem through messages to coordinate production and resource allocation; it communicates order messages and synchronizes order status information with the MES subsystem through the ERP_MESOrderUpdate message; in addition, the ERP subsystem also works with the logistics scheduling subsystem through the ERP_LogisticsSync message to optimize supply chain processes and improve overall operational efficiency. The API interface provided by the ERP subsystem is shown in Table 2.

[0035] Table 2, API interface of ERP subsystem:

[0036] The PLM subsystem provides product design and process information to the MES subsystem through the PLM_ProductionInfo message to support production execution and quality control, ensuring that the production process meets design requirements, thereby achieving seamless connection from product design to production. The API interface provided by the PLM subsystem is shown in Table 3.

[0037] Table 3, API interface of PLM subsystem:

[0038] The MES subsystem is used for real-time monitoring of the production process, including receiving production plans from the APS subsystem through the APS_MESPlanUpdate message; providing real-time production execution information to the ERP subsystem through the ERP_MESOrderUpdate message; obtaining product design and process information from the PLM subsystem through the PLM_ProductionInfo message; and working with the logistics scheduling subsystem through the MES_LogisticsCoordination message to optimize material supply and finished product distribution. The API interface provided by the MES subsystem is shown in Table 4.

[0039] Table 4, API interface of MES subsystem:

[0040] The logistics scheduling subsystem communicates with its own server (hardware layer) and transportation equipment (such as forklifts, conveying systems) and warehouse equipment (such as automatic warehouse systems, barcode scanners) through industrial Ethernet, and monitors and controls logistics operations in real time. The logistics scheduling subsystem obtains order information from the ERP subsystem through the ERP_LogisticsSync message, coordinates the logistics needs of the supply chain, receives production completion information provided by the MES subsystem through the MES_LogisticsCoordination message, and arranges the storage and distribution of finished products. At the same time, the logistics scheduling subsystem cooperates with the AGV subsystem through the Logistics_AGVCoordination message to optimize the scheduling strategy of automated handling equipment, and monitors the status of each AGV in the AGV subsystem through the AGV_LogisticsUpdate message to further improve logistics efficiency and achieve full automation and high efficiency of the logistics process. The API interface provided by the logistics scheduling subsystem is shown in Table 5.

[0041] Table 5, API interface of logistics scheduling subsystem:

[0042] The AGV subsystem executes the instructions from the logistics scheduling subsystem through the AGV_LogisticsCoordination message, performs material handling and distribution tasks according to the logistics plan, ensures the automation and high efficiency of the logistics process, and synchronizes the status of the AGV with the logistics scheduling subsystem through the AGV_LogisgticsUpdate. The API interface provided by the AGV subsystem is shown in Table 6.

[0043] Table 6, API interface of AGV subsystem:

[0044] The hardware layer integrates multiple key modules, including APS server (advanced production scheduling server), ERP server (enterprise resource planning server), MES server (manufacturing execution server), PLM server (product lifecycle management server), logistics scheduling server, and AGV (automatic guided vehicle), and realizes efficient and real-time communication between these components through industrial Ethernet.

[0045] The APS server, as the core scheduling module of the entire flexible matrix manufacturing system, is used to develop and optimize production plans. By integrating historical data and real-time production status, the APS server can intelligently analyze production capacity, material availability, and order demand, dynamically develop the optimal production plan, and ensure efficient use of resources. The ability to dynamically develop production plans enables enterprises to respond to market demand changes in a timely manner, significantly shortening delivery cycles.

[0046] The ERP server is the central component of the entire system, carrying the overall planning and management of enterprise resources. Its efficient resource allocation and management capabilities ensure the rational use of various resources (such as manpower, materials, and equipment) in the production process, avoiding resource waste. The ERP server is used for centralized management and real-time monitoring of the entire life cycle of the production process, providing a comprehensive business perspective for the enterprise, supporting decision-making, and thus improving operational efficiency and responsiveness.

[0047] The MES server is used for real-time monitoring of the production execution process, providing key production control and data analysis functions. By collecting device operating status, production progress, and quality data, the MES server can promptly identify problems in the production process and respond quickly, ensuring the continuity and reliability of the production process. In addition, the MES server helps standardize operational processes, improves production efficiency, and reduces human error.

[0048] The PLM server is used to optimize the entire life cycle management of products from design to scrap. By integrating product data, design information, and related documents comprehensively, the PLM server enables enterprises to make more informed decisions at each stage of product development, manufacturing, and maintenance. The PLM server supports cross-departmental collaboration, ensuring that existing resources are fully utilized at each stage to improve product quality and shorten time-to-market.

[0049] The main function of the logistics scheduling server is to optimize the flow of materials to ensure smooth connection between various production links. This logistics scheduling server can adjust transportation paths and modes in real time through intelligent scheduling algorithms to minimize delays in the transportation process. In addition, the logistics scheduling server can monitor transportation status and provide accurate estimated arrival times to ensure timely delivery of materials, thereby supporting continuous production operations.

[0050] AGV vehicles have high autonomy in material handling. AGV vehicles can independently complete material transportation tasks through an automatic navigation system, significantly reducing human intervention and reducing human error. Its intelligent scheduling mechanism can adjust transportation routes in real time according to production needs, improving the efficiency and safety of material distribution. The use of AGV vehicles not only optimizes the logistics process but also improves the overall flexibility of the workshop.

[0051] The following is the working principle of the informationization software and hardware integrated system in the matrix workshop production logistics system: The specific implementation process of information interaction from the business application layer to the software layer is as follows: The production plan generated by the APS system is passed to the data interaction module of the software layer to update the system state and set specific execution tasks. The resource allocation instructions of the ERP system are also passed down to the software layer for processing and management by the subsystems. The MES system monitors production in real-time and feeds back production progress and quality information to the APS system for dynamic adjustment. Changes in product design and process information in the PLM system are passed to the business application layer to update manufacturing processes and production plans.

[0052] The information interaction from the software layer to the hardware layer is implemented as follows: The integrated management module in the software layer converts the plans and instructions from the business application layer into operation execution instructions and sends them to the AGV and servers in the hardware layer to achieve specific task scheduling and process control. The servers in the hardware layer receive the operation execution instructions from the software layer and process the corresponding data to ensure the efficiency of task execution.

[0053] The information interaction from the hardware layer to the software layer is implemented as follows: During task execution, the devices in the hardware layer (such as servers, AGV vehicles, and sensors) upload real-time data (such as transportation status and production quantity) to the data interaction module in the software layer to support decision-making.

[0054] The information interaction from the software layer to the business application layer is implemented as follows: Through the data interaction module, the data fed back by the hardware layer (such as inventory level and production failure) is analyzed and passed back to the business application layer to promote decision-making updates for the APS system, ERP system, and MES system.

[0055] The vertical flow from the business application layer to the software layer and then to the hardware layer ensures the accurate execution of production plans. The feedback from the hardware layer to the software layer and then to the business application layer enables the system to respond quickly and optimize in the face of real-time production changes. The interaction between the vertical layers ensures the efficiency and flexibility of the system.

[0056] Figure 2 is an interaction diagram between multiple subsystems in the software layer. As shown in Figure 2 The implementation process of the interaction between the six subsystems in the software layer is as follows: Step 101, the ERP subsystem receives orders (such as purchase orders or production orders) from customers through the order management module in the ERP system of the business application layer. The ERP subsystem analyzes the order information, including customer information, product details, quantity, delivery time, and special requirements, and stores the parsed order information in the order database. Then, the ERP subsystem passes the order information to the APS subsystem through the ERP_APSDataSync message to start the production planning process.

[0057] Step 102, the APS subsystem obtains order requirements and inventory status through the ERP_APSDataSync message based on the order information transmitted by the ERP subsystem, and then generates the optimal production plan by combining production priorities, resource allocation, and existing inventory data. The APS subsystem transmits the production plan to the MES subsystem through the APS_MESPlanUpdate message to start production task scheduling.

[0058] Step 103, the PLM subsystem provides relevant product design and process information to the MES subsystem through the PLM_ProductionInfo message. The MES subsystem matches the corresponding process flow based on the production plan, including assembly requirements, quality standards, and process parameters, to ensure that the production process meets the design specifications.

[0059] Step 104, the MES subsystem receives the production plan through the APS_MESPlanUpdate message and generates specific production tasks based on the production plan. At the same time, it sends scheduling instructions to the logistics scheduling system through the MES_LogisticsCoordination message to coordinate and plan the production scheduling process. During the production process, the MES subsystem collects production data and feeds back production progress and completion information to the ERP subsystem through the ERP_MESOrderUpdate message for updating order information and subsequent supply chain coordination.

[0060] Step 105, the logistics scheduling subsystem receives scheduling instructions from the MES subsystem through the MES_LogisticsCoordination message and starts logistics tasks. If material or finished product needs to be transported, the logistics scheduling subsystem cooperates with the AGV subsystem through the Logistics_AGVCoordination message to start AGV vehicles to perform transportation tasks.

[0061] Step 106, the AGV subsystem receives task instructions from the logistics scheduling subsystem through the Logistics_AGVCoordination message. The AGV subsystem automatically navigates based on path planning algorithms to transport materials from designated locations to target locations (such as storage areas or production lines), and feeds back vehicle status and task progress in real time through the AGV_LogisticsUpdate message to ensure efficient completion of logistics tasks.

[0062] As shown in Figure 3 the interaction between the hardware layer servers and AGV vehicles is as follows: Step 201, the APS server exchanges data with other servers through industrial Ethernet, and obtains real-time production status and material information. Using standard Ethernet protocol, the APS server can send real-time production plans to the ERP server and MES server, and receive real-time feedback from the MES server to dynamically adjust the production plan. The APS server uses real-time data analysis to optimize production scheduling and ensure reasonable allocation of materials and resources, effectively responding to production changes.

[0063] Step 202, the ERP server uses industrial Ethernet to connect with the APS server, MES server and PLM server, and centrally manages enterprise resources and information flow. Through industrial Ethernet, the ERP server receives real-time data from other servers, such as inventory status, production progress and sales order information, facilitating comprehensive resource planning and monitoring. At the same time, the ERP server influences the operation of other modules by issuing instructions and policies, achieving global resource optimization and coordination.

[0064] Step 203, the MES server interacts with the APS server, ERP server and PLM server in real time through industrial Ethernet, and performs data collection and production process monitoring. The MES server receives scheduling instructions from the APS server, executes production plans, and feeds back actual production data to the ERP server and APS server through real-time monitoring of equipment status. This two-way communication method can immediately adjust when problems are found, improving production efficiency and reliability, while ensuring the transparency of the production process.

[0065] Step 204, the PLM server uses industrial Ethernet to interact with the ERP server and MES server for data exchange, supporting product development and management. Through industrial Ethernet, the PLM server can obtain real-time production feedback and market demand data, and update product lifecycle information in a timely manner. In addition, the PLM server transmits product design data and change information to the MES server and ERP server to ensure the close integration of production plans and market demand, optimizing the product development process.

[0066] Step 205, the main function of the logistics scheduling server is to optimize the flow of materials through industrial Ethernet to ensure smooth connection between various production links. Through intelligent scheduling algorithms, the logistics scheduling server adjusts transportation paths and modes in real time to minimize material delays during transportation. At the same time, the logistics scheduling server can monitor transportation status and provide accurate estimated arrival time to ensure timely delivery of materials, thereby supporting continuous production operations.

[0067] In step 206, the AGV vehicle exchanges data with the MES server and the logistics scheduling server through the industrial Ethernet, realizes independent and efficient material transportation, receives the instructions from the logistics scheduling server, understands the pickup and delivery locations of the materials, and autonomously avoids obstacles by using sensors and navigation technology to ensure the safety of transportation. Through real-time state feedback, the AGV vehicle can coordinate with the MES server to ensure that the materials are on time, and support the smooth operation of the production process.

[0068] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A matrix workshop production logistics system informatization software and hardware integrated system, characterized in that, The system comprises a business application layer, a software layer and a hardware layer; the interaction between the layers includes information transmission and feedback mechanism from the upper layer to the lower layer and from the lower layer to the upper layer; The business application layer is used for implementing specific management functions in the flexible matrix manufacturing workshop and supporting information flow in the production process; the business application layer comprises an APS system, an ERP system, an MES system, a PLM system, a logistics scheduling system and an AGV system; The software layer connects the business application layer and the hardware layer and is used for processing, communication and coordination of business data; the software layer comprises subsystems corresponding to the systems of the business application layer, namely an APS subsystem, an ERP subsystem, an MES subsystem, a PLM subsystem, a logistics scheduling subsystem and an AGV subsystem; The hardware layer integrates servers and devices corresponding to the systems of the business application layer and the subsystems of the software layer, namely an APS server, an ERP server, an MES server, a PLM server, a logistics scheduling server and an AGV vehicle.

2. The hardware and software integrated system for information technology of matrix workshop production logistics system according to claim 1, characterized in that, The functions of the systems of the business application layer are as follows: The APS system is used for formulating production plans, material and equipment constraint analysis, production scheduling and order priority management; The ERP system is used for order management, inventory management, material management and human resource management; The MES system is used for production task execution, workshop resource scheduling, progress tracking and feedback of production status; The PLM system is used for product design management, workshop resource scheduling, process planning and feedback of production status; The logistics scheduling system is used for logistics resource management, logistics task execution, AGV management and distribution task management; The AGV system is used for logistics transportation, logistics task execution, AGV management and distribution task management.

3. The hardware and software integrated system for information technology of matrix workshop production logistics system according to claim 1, characterized in that, The functions of the subsystems of the software layer are as follows: The APS subsystem is used for sharing information with the ERP subsystem and transmitting production plans to the MES subsystem; The ERP subsystem is used for sharing information with the APS subsystem, synchronizing order status to the MES subsystem and cooperating with the logistics scheduling subsystem; The PLM subsystem is used for providing product design and process information to the MES subsystem; The MES subsystem is used for real-time monitoring of the production process, including receiving production plans from the APS subsystem; providing real-time production execution to the ERP subsystem; obtaining product design and process information from the PLM subsystem; and cooperating with the logistics scheduling subsystem; The logistics scheduling subsystem is used for obtaining order information from the ERP subsystem, receiving production completion information provided by the MES subsystem and cooperating with the AGV vehicle subsystem; The AGV subsystem is used for executing instructions from the logistics scheduling subsystem, performing material carrying and distribution tasks according to the logistics plan and synchronizing the status of the AGV vehicle with the logistics scheduling subsystem.

4. The hardware and software integrated system for information technology of matrix workshop production logistics system according to claim 1, characterized in that, The functions of the servers and devices of the hardware layer are as follows: The APS server is used for intelligently analyzing production capacity, material availability and order demand by integrating historical data and real-time production status, dynamically formulating optimal production plans; The ERP server is used for centralized management and real-time monitoring of the whole life cycle of the production process, and provides a standardized operation process; The MES server is used for real-time monitoring of the production execution process, and provides key production control and data analysis functions; The PLM server is used for optimizing the whole life cycle management of products from design to scrap, and supports cross-department collaboration; The logistics scheduling server is used for optimizing the flow of materials, and ensures timely delivery of materials through scheduling AGV vehicles; The AGV vehicle is used to complete the material transportation task under the scheduling of the logistics scheduling server.

5. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The information interaction from the business application layer to the software layer includes: The production plan generated by the APS system is delivered to the data interaction module of the software layer to update the system state and set specific execution tasks; The resource allocation instructions of the ERP system are also sent to the software layer for processing and management by each subsystem; The MES system monitors the production in real time, and feeds back the production progress and quality information to the APS system for dynamic adjustment; The product design and process information changes in the PLM system are delivered to the business application layer to update the manufacturing process and production plan.

6. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The information interaction from the software layer to the hardware layer includes: The integrated management module in the software layer converts the plans and instructions from the business application layer into operation execution instructions, and sends them to the AGV and servers in the hardware layer to realize specific task scheduling and process control; The servers in the hardware layer receive the operation execution instructions from the software layer and process the corresponding data.

7. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The information interaction from the hardware layer to the software layer includes: During the execution of tasks, the servers and AGV vehicles in the hardware layer upload real-time data to the data interaction module in the software layer to support decision-making.

8. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The information interaction from the software layer to the business application layer includes: Through the data interaction module, the data feedback from the hardware layer is analyzed and delivered back to the business application layer to promote decision-making updates of the APS system, ERP system and MES system.

9. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The interaction between the six subsystems in the software layer specifically includes: The ERP subsystem receives orders from customers through the order management module in the ERP system of the business application layer, analyzes the order information and stores it in the order database, and then delivers the order information to the APS subsystem to start the production planning process; The APS subsystem generates the optimal production plan based on the order information delivered by the ERP subsystem, and then delivers the production plan to the MES subsystem to start the production task scheduling; The PLM subsystem provides relevant product design and process information to the MES subsystem, and the MES subsystem matches the corresponding process flow according to the production plan; The MES subsystem receives the production plan, generates specific production tasks according to the production plan, and sends scheduling instructions to the logistics scheduling system to coordinate and plan the production scheduling process; during the production process, the MES subsystem collects production data and feeds back the production progress and completion status to the ERP subsystem for updating order information and subsequent supply chain coordination; The logistics scheduling subsystem receives scheduling instructions from the MES subsystem and initiates logistics tasks; if it is necessary to transport materials or finished products, the logistics scheduling subsystem cooperates with the AGV subsystem to initiate AGV vehicles to perform transportation tasks. The AGV subsystem receives task instructions from the logistics scheduling subsystem, automatically navigates according to a path planning algorithm, transports materials from a designated location to a target location, and feeds back vehicle status and task progress in real time, ensuring efficient completion of logistics tasks.

10. The hardware and software integrated system for information technology of matrix plant production logistics system according to claim 1, characterized in that, The interaction between the servers and the AGV vehicles at the hardware layer specifically includes: The APS server exchanges data with other servers through industrial Ethernet, obtains real-time production status and material information, sends real-time production plans to the ERP server and the MES server, and receives real-time feedback from the MES server to dynamically adjust the production plan; The ERP server connects with the APS server, the MES server, and the PLM server through industrial Ethernet to centrally manage enterprise resources and information flow; The MES server interacts with the APS server, the ERP server, and the PLM server in real time through industrial Ethernet to collect data and monitor the production process; The PLM server exchanges data with the ERP server and the MES server through industrial Ethernet; the PLM server obtains real-time production feedback and market demand data, updates product lifecycle information in a timely manner, and transmits product design data and change information to the MES server and the ERP server; The logistics scheduling server optimizes material flow through industrial Ethernet, adjusts transportation paths and methods in real time to minimize material delays during transportation; at the same time, the logistics scheduling server can monitor transportation status, provide accurate estimated arrival times, and ensure timely delivery of materials; The AGV vehicle exchanges data with the MES server and the logistics scheduling server through industrial Ethernet to achieve independent and efficient material transportation.

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