Information management monitoring system for smart factory construction

Abstract

The invention relates to an information management monitoring system for smart factory construction, and belongs to the technical field of smart factory construction, and the system comprises an equipment layer, the output end of the equipment layer is in signal connection with an edge calculation layer, and the output end and the input end of the edge calculation layer are in signal connection with a factory service layer. The output end and the input end of the factory service layer are both in signal connection with an intelligent decision-making layer, the output end of the intelligent decision-making layer is in signal connection with a visualization layer, and the edge calculation layer comprises a data acquisition and analysis module, a production monitoring and scheduling module, an energy acquisition and management module, an environmental protection monitoring module and a fire safety module. The production monitoring and scheduling module, the energy acquisition and management module, the environmental protection monitoring module and the fire safety module are all in bidirectional signal connection with the data acquisition and analysis module. According to the information management monitoring system for smart factory construction, through cooperative operation of all the modules, remarkable benefits are brought to enterprises in multiple dimensions of production efficiency, quality control, resource management and safety and environmental protection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart factory construction, in particular to an information management and monitoring system for smart factory construction. BACKGROUND

[0002] With the rapid development of global manufacturing industry, traditional manufacturing industry is facing increasingly fierce market competition and changing customer demand. In order to improve production efficiency, reduce cost and improve product quality, manufacturing enterprises are seeking transformation and upgrading. As an important direction of digital transformation of manufacturing industry, smart factory integrates advanced technologies such as Internet of Things, big data and artificial intelligence, and can realize automation, intelligentization and informatization of production process, so as to improve the core competitiveness of enterprises. At present, smart factory has been widely concerned and applied in the world, and more and more enterprises begin to invest resources in smart factory construction. In China, the manufacturing industry is large in scale and covers many industry fields, and the construction of smart factory has broad market prospect and development space.

[0003] However, there are many problems in the production and operation process of traditional factory, which seriously restricts the development of enterprises. The production plan arrangement of traditional factory often depends on manual experience, lacks scientific scheduling and optimization, resulting in low equipment utilization rate and long production cycle. At the same time, the abnormal situation in the production process is difficult to find and handle in time, which further affects the production efficiency. Product quality is the key to the survival and development of enterprises, but the quality detection means of traditional factory is relatively backward, mainly relying on manual sampling inspection, which is difficult to realize the whole process quality monitoring. Once there is a quality problem, it is difficult to trace back, and it is impossible to find the root cause and take effective measures in time. In terms of energy, materials and other aspects, traditional factory lacks effective management and monitoring means, resulting in high energy consumption and large material waste. For example, equipment still consumes a lot of electric energy in standby state, and poor management of material inventory leads to overstock or shortage. When making decisions, enterprise managers often lack accurate and timely data support, and can only rely on experience and intuition to make judgments, which is easy to lead to decision-making errors and affect the development strategy of enterprises.

[0004] In recent years, the rapid development of emerging technologies such as Internet of Things, big data, artificial intelligence and digital twin provides strong technical support for the construction of smart factory. Under the background of transformation and upgrading of manufacturing industry, traditional factory is facing many challenges, while the development of emerging technologies and policy support provide favorable conditions for the construction of smart factory. It has important practical significance and application value to develop an information management and monitoring system suitable for the construction of smart factory. SUMMARY

[0005] In view of the deficiencies of the prior art, the information management and monitoring system for intelligent factory construction has the advantages of high production efficiency, high quality control, high resource management level, good safety and environmental protection effect, and solves the problems in the above background art.

[0006] To achieve the above object, the present application provides the following technical scheme:

[0007] An information management and monitoring system for intelligent factory construction, comprising a device layer, an edge computing layer connected to the output end of the device layer, a factory service layer connected to the output end and the input end of the edge computing layer, an intelligent decision-making layer connected to the output end and the input end of the factory service layer, and a visualization layer connected to the output end of the intelligent decision-making layer.

[0008] The edge computing layer comprises a data acquisition and analysis module, a production monitoring and scheduling module, an energy acquisition and management module, an environmental protection monitoring module, and a fire safety module, and the production monitoring and scheduling module, the energy acquisition and management module, the environmental protection monitoring module, and the fire safety module are all bidirectionally connected to the data acquisition and analysis module.

[0009] The data acquisition and analysis module is used to acquire data from personnel, machines, and bottom-layer control operations, as well as process material information, to provide data support for production management and decision-making; the production monitoring and scheduling module is used to realize all-around digitization, automation, and intelligentization of the production process, to monitor the production state in real time, to automatically adjust production parameters, and to ensure production stability and sustainability; the energy acquisition and management module uses Internet of Things technology to acquire data, collects key data such as energy consumption in real time through sensors and intelligent devices, and transmits the data to a central system, evaluates the energy consumption efficiency of equipment and systems through prediction and analysis of historical data, optimizes energy use, and provides suggestions for energy saving and emission reduction; the environmental protection monitoring module is used to monitor the environmental parameters of the factory, to ensure that the production environment meets the standards, and to protect the health of employees; and the fire safety module is used to ensure the production safety of the factory, to prevent accidents, and to respond quickly in the event of an accident to reduce losses.

[0010] The factory service layer comprises a manufacturing execution system module, a traceability management system module, and an intelligent logistics and warehousing module, the output end of the production monitoring and scheduling module is connected to the input end of the manufacturing execution system module, the output end of the manufacturing execution system module is connected to the input end of the traceability management system module, and the output end of the traceability management system module is connected to the input end of the intelligent logistics and warehousing module.

[0011] The manufacturing execution system module is used for sequencing and scheduling limited resource capabilities, optimizing job plans, managing resources required for production, coordinating the allocation of workers, production equipment, tools and materials, and tracking their current work status and completion; the traceability management system module can record various information during product production in a complete, accurate and real-time manner, realizing full-process traceability from raw materials to final products; the intelligent logistics and storage module realizes storage and retrieval of goods by means of an automated warehouse, improves the storage efficiency and space utilization of the warehouse, realizes rapid sorting and transfer of goods through an automatic conveying and sorting system, and improves the logistics efficiency;

[0012] The intelligent decision layer includes an AI intelligent monitoring module and a digital twin engine module, the output end signal of the traceability management system module is connected with the AI intelligent monitoring module, and the output end signal of the AI intelligent monitoring module is connected with the digital twin engine module;

[0013] The AI intelligent monitoring module is used for realizing intelligent upgrading of construction work and management, reducing construction safety hazards, saving management costs, and promoting standardization, informatization and intelligentization of engineering construction management, and the digital twin engine module is used for model establishment and integration, simulation and prediction, real-time monitoring and feedback, and fault diagnosis and maintenance.

[0014] Further, the equipment layer includes a PLC controller, a sensor and an AGV, the output ends of the PLC controller, the sensor and the AGV are all connected with the input end signal of the data acquisition and analysis module, and the output end and the input end of the AGV are both connected with the signal of the intelligent logistics and storage module.

[0015] Further, the sensor is used for abnormal monitoring of the smart factory, and the AGV automatically executes a transportation task through the intelligent logistics and storage module.

[0016] Further, the visualization layer includes an information display module, and the output end signal of the digital twin engine module is connected with the information display module.

[0017] Further, the information display module is used for presenting various collected data to management personnel in an intuitive manner, facilitating quick understanding and analysis.

[0018] Further, the manufacturing execution system module includes a production scheduling module, a resource allocation module, a production management module and a document management module, and the production scheduling module, the resource allocation module, the production management module and the document management module are all connected with the manufacturing execution system module in a bidirectional signal manner.

[0019] Furthermore, the production scheduling module is used to coordinate and arrange various aspects of production activities to ensure the smooth execution of production plans, and the resource allocation module is used to reasonably allocate and utilize various resources within the factory to ensure the smooth progress of production activities.

[0020] Furthermore, the production management module is used to comprehensively manage all aspects of production activities to ensure the efficiency, stability and controllability of the production process. The document management module is used to manage and maintain various documents and materials within the factory to ensure the safety, accuracy and convenient use of documents.

[0021] Furthermore, the model establishes and integrates tools and methods for building digital twin models, integrates different types of data sources and sensors, extracts information from real-time data, and integrates and calibrates it with the model; the simulation and prediction simulate the behavior and interaction of physical systems to predict performance, efficiency and reliability under different conditions, helping to optimize the design and decision-making process.

[0022] Furthermore, the real-time monitoring and feedback is used to monitor the operating status of the physical system in real time, and compare and analyze the real-time data with the digital model; the fault diagnosis and maintenance detects and diagnoses potential faults or abnormal conditions by comparing the model with the actual data, and provides corresponding maintenance and repair suggestions.

[0023] Compared with the existing technology, the present invention provides an information management and monitoring system for smart factory construction, which has the following beneficial effects:

[0024] 1. The information management and monitoring system used in the construction of this smart factory, through the coordinated operation of the production monitoring and scheduling module, manufacturing execution system module, traceability management system module, intelligent logistics and warehousing module, data acquisition and analysis module, energy acquisition and management module, environmental monitoring module, fire safety module, information display module, AI intelligent monitoring module and digital twin engine module, brings significant benefits to the enterprise in multiple dimensions of production efficiency, quality control, resource management and safety and environmental protection, achieving the advantages of high production efficiency, high quality control, high resource management level and good safety and environmental protection effects.

[0025] 2. The information management and monitoring system used in the construction of the smart factory can quickly issue alarms and automatically adjust production plans and reallocate production tasks by reallocating production tasks through real-time monitoring of key indicators such as the operating status of production equipment and production progress, thereby ensuring the continuity and efficiency of the production process. By fine-tuning the management of production tasks, optimizing the production process, and rationally arranging production resources, the waiting time and unnecessary processes in the production process are reduced. By building a virtual model of the factory, the production process is simulated and optimized, thereby achieving the advantage of improved production efficiency.

[0026] 3、The information management and monitoring system for intelligent factory construction can effectively reduce quality risks by establishing a unique product traceability code for each product; real-time monitoring and detection of product quality during the production process can be achieved through the use of image recognition, machine learning, and other technologies, which can automatically identify defects, size deviations, and other issues on the surface of the product and issue timely alerts, improving the accuracy and efficiency of quality detection and achieving the advantage of strengthened quality control.

[0027] 4、The information management and monitoring system for intelligent factory construction improves logistics efficiency and accuracy by implementing automated storage, handling, and distribution of materials; reduces inventory backlog and stockout phenomena and lowers warehouse costs by optimizing warehouse layout and inventory management strategies; fine-tuned management of energy consumption in the factory through real-time monitoring; discovers energy waste links through analysis of energy data and takes appropriate energy-saving measures to reduce energy costs; provides decision support for enterprise resource management by collecting and deeply analyzing various data from the production process, improving resource utilization efficiency, and achieving the advantage of high resource management level.

[0028] 5、The information management and monitoring system for intelligent factory construction can avoid environmental pollution accidents and reduce the environmental protection risks of enterprises by real-time monitoring of environmental parameters in the factory and issuing timely alerts and taking appropriate measures; ensures the normal operation of fire-fighting facilities by real-time monitoring and management of the fire-fighting facilities in the factory, ensuring the safety of personnel and property in the factory; improves the safety management level of the factory by using video monitoring and intelligent analysis technology to automatically identify abnormal behavior and safety hazards and issue timely alerts, achieving the advantage of good safety and environmental protection effect. BRIEF DESCRIPTION OF DRAWINGS

[0029] Fig. 1 The system block diagram of the information management and monitoring system for intelligent factory construction of the present application;

[0030] Fig. 2 The system block diagram of the data collection and analysis module in the information management and monitoring system for intelligent factory construction of the present application;

[0031] Fig. 3 The system block diagram of the manufacturing execution system module in the information management and monitoring system for intelligent factory construction of the present application;

[0032] Fig. 4 The system block diagram of the traceability management system module in the information management and monitoring system for intelligent factory construction of the present application. DETAILED DESCRIPTION

[0033] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0034] Please refer to Figs. 1 to 4 The information management and monitoring system for smart factory construction in the embodiment comprises a device layer, an edge computing layer connected with the output end signal of the device layer, a factory service layer connected with the output end and the input end of the edge computing layer, an intelligent decision-making layer connected with the output end and the input end of the factory service layer, and a visualization layer connected with the output end signal of the intelligent decision-making layer.

[0035] In the embodiment, the edge computing layer comprises a data acquisition and analysis module, a production monitoring and scheduling module, an energy acquisition and management module, an environmental protection monitoring module and a fire safety module, and the production monitoring and scheduling module, the energy acquisition and management module, the environmental protection monitoring module and the fire safety module are bidirectionally connected with the data acquisition and analysis module.

[0036] Specifically, the data acquisition and analysis module is used to acquire data from personnel, machines and bottom layer control operations, and process material information, to provide data support for production management and decision-making, and to process and analyze the acquired data by means of data mining and analysis technology, so as to find problems and optimization in the production process.

[0037] Specifically, the production monitoring and scheduling module is used to realize all-round digitization, automation and intelligentization of the production process, to monitor the production state in real time, to automatically adjust the production parameters, to ensure the stability and continuity of production, to realize the optimal allocation of labor, production equipment and material production resources by means of intelligent scheduling and optimization algorithm, to improve the production efficiency, to provide strong support for the decision-making of the enterprise, and to help the enterprise realize efficient production plan management and resource scheduling.

[0038] Specifically, the energy acquisition and management module collects key data such as energy consumption in real time by means of Internet of Things technology, and transmits the data to the center system through sensors and intelligent devices, evaluates the energy consumption efficiency of the equipment and system by means of prediction analysis on historical data, optimizes the energy use, and provides suggestions for energy saving and emission reduction; when abnormal energy conditions are monitored, the system will immediately issue a prompt or an alarm to help the enterprise reduce energy waste.

[0039] Specifically, the environmental protection monitoring module is used for monitoring the environmental parameters (such as temperature and humidity, air quality, etc.) of the factory, ensuring that the production environment meets the standards and protecting the health of employees; the fire safety module is used to ensure the safety of the factory production, prevent accidents, and quickly respond in the event of an accident to reduce losses.

[0040] In this embodiment, the factory service layer includes a manufacturing execution system module, a traceability management system module, and an intelligent logistics and warehousing module. The output end of the production monitoring and scheduling module is signal connected with the input end of the manufacturing execution system module. The output end of the manufacturing execution system module is signal connected with the input end of the traceability management system module. The output end of the traceability management system module is signal connected with the input end of the intelligent logistics and warehousing module.

[0041] Specifically, the manufacturing execution system module is used for sequencing and scheduling limited resource capabilities, optimizing job plans, managing resources needed for production, coordinating the distribution of laborers, production equipment, tools, and materials, and tracking their current work status and completion, transmitting materials or processing commands to a certain processing unit based on production instructions to start the operation of a process or step, achieving fine management of the production process, managing and distributing records and documents related to products, process procedures, designs, or work orders, and saving and maintaining production history data.

[0042] Specifically, the traceability management system module can accurately and timely record various information during the production process of products, realize full-process traceability from raw materials to finished products, locate production machines, transfer time, storage location information, and delivery time based on traceability identification codes, effectively reduce the management cost of unqualified products, and realize clear responsibility to individuals.

[0043] Specifically, the intelligent logistics and warehousing module realizes the storage and retrieval of goods with the help of an automated storage and retrieval system, improves the storage efficiency and space utilization rate of the warehouse, and realizes the rapid sorting and transfer of goods through an automatic conveying and sorting system to improve the logistics efficiency.

[0044] In this embodiment, the intelligent decision-making layer includes an AI intelligent monitoring module and a digital twin engine module. The output end of the traceability management system module is signal connected with the AI intelligent monitoring module. The output end of the AI intelligent monitoring module is signal connected with the digital twin engine module.

[0045] Specifically, the AI intelligent monitoring module is used to realize intelligent upgrading of construction work and management, reduce construction safety hazards, save management costs, and promote the standardization, informatization, and intelligentization of engineering construction management.

[0046] Specifically, the digital twin engine module is used for model establishment and integration, simulation and prediction, real-time monitoring and feedback, and fault diagnosis and maintenance.

[0047] Specifically, the model building and integration tools and methods for constructing digital twin models, integrating different types of data sources and sensors, extracting information from real-time data, and integrating and calibrating them with models.

[0048] Specifically, for example, in a smart factory, the digital twin engine module can integrate device operating parameters, production progress, quality detection data, energy consumption, etc. to build a unified digital twin model; simulation and prediction simulate the behavior and interaction of physical systems, predict performance, efficiency and reliability under different conditions, and help optimize design and decision-making process.

[0049] Specifically, in a smart factory, the digital twin engine module can model the production process and simulate different scenarios on the computer in advance, such as adjusting device arrangement and material flow route, testing different production scheduling sequence, etc. to find the optimal solution. At the same time, it can also predict production capacity and bottlenecks and make adjustments in advance.

[0050] Specifically, real-time monitoring and feedback are used to monitor the operating conditions of physical systems in real time and compare and analyze real-time data with digital models.

[0051] Specifically, in a smart factory, the digital twin engine module can collect device operating parameters (such as temperature, speed, pressure, etc.), production progress, quality detection data, etc. and compare them with the digital twin model to find abnormal conditions in the production process in a timely manner; fault diagnosis and maintenance compare the model with the actual data to detect and diagnose potential faults or abnormal conditions and provide corresponding maintenance and repair recommendations.

[0052] Specifically, in a smart factory, the digital twin engine module can monitor the device in real time by analyzing the device's vibration, temperature, current, etc. data, combining algorithm models, and analyzing the device's health status. When the device parameters deviate from the normal range, the system warns of potential faults in advance and predicts the device failure time, location based on device operating data and historical fault library to develop precise maintenance plans.

[0053] In this embodiment, through the collaborative operation of the production monitoring and scheduling module, the manufacturing execution system module, the traceability management system module, the intelligent logistics and warehousing module, the data acquisition and analysis module, the energy acquisition and management module, the environmental protection monitoring module, the fire safety module, the information display module, the AI intelligent monitoring module and the digital twin engine module, significant benefits are brought to the enterprise in multiple dimensions of production efficiency, quality control, resource management and safety and environmental protection, achieving the advantages of high production efficiency, high quality control, high resource management level and good safety and environmental protection effect.

[0054] In this embodiment, the device layer includes a PLC controller, a sensor and an AGV, the output ends of the PLC controller, the sensor and the AGV are all connected with the input end signal of the data acquisition and analysis module, and the output end and the input end of the AGV are both connected with the intelligent logistics and storage module.

[0055] Specifically, the sensor is used for abnormal monitoring of the smart factory, and the AGV automatically performs the transportation task through the intelligent logistics and storage module.

[0056] In this embodiment, the visualization layer includes an information display module, and the output end of the digital twin engine module is connected with the information display module.

[0057] Specifically, the information display module is used to present the collected various data to the management personnel in an intuitive manner, so as to facilitate quick understanding and analysis.

[0058] In this embodiment, the manufacturing execution system module includes a production scheduling module, a resource allocation module, a production management module and a document management module, and the production scheduling module, the resource allocation module, the production management module and the document management module are all connected with the manufacturing execution system module in a bidirectional signal manner.

[0059] Specifically, the production scheduling module is used to coordinate and arrange various links of production activities, so as to ensure smooth execution of the production plan, and the resource allocation module is used to reasonably allocate and utilize various resources in the factory, so as to ensure smooth progress of the production activities.

[0060] Specifically, the production management module is used to comprehensively manage various links of production activities, so as to ensure efficient, stable and controllable production process, and the document management module is used to manage and maintain various document materials in the factory, so as to ensure safe, accurate and convenient use of the documents.

[0061] It should be noted that, in this document, the relationship terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitation, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or equipment including the element.

[0062] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. An information management and monitoring system for smart factory construction, including an equipment layer, characterized by: The output end of the device layer is signal-connected to the edge computing layer, the output end and input end of the edge computing layer are signal-connected to the factory service layer, the output end and input end of the factory service layer are signal-connected to the intelligent decision-making layer, and the output end of the intelligent decision-making layer is signal-connected to the visualization layer; The edge computing layer includes a data acquisition and analysis module, a production monitoring and scheduling module, an energy acquisition and management module, an environmental monitoring module, and a fire safety module. The production monitoring and scheduling module, the energy acquisition and management module, the environmental monitoring module, and the fire safety module are all connected to the data acquisition and analysis module by two-way signals; The data acquisition and analysis module is used to collect data from personnel, machines and underlying control operations, as well as process material information, to provide data support for production management and decision-making; the production monitoring and scheduling module is used to realize the full digitalization, automation and intelligence of the production process, and can monitor the production status in real time, automatically adjust production parameters, and ensure production stability and continuity; the energy acquisition and management module uses Internet of Things technology to collect data, and collects key data such as energy consumption in real time through sensors and smart devices and transmits it to the central system. Through predictive analysis of historical data, it evaluates the energy efficiency of equipment and systems, optimizes energy use, and provides suggestions for energy conservation and emission reduction; the environmental monitoring module is used to monitor the environmental parameters of the factory to ensure that the production environment meets the standards and protects the health of employees; the fire safety module is used to ensure the production safety of the factory, prevent accidents, and respond quickly to accidents to reduce losses; The factory service layer includes a manufacturing execution system module, a traceability management system module and an intelligent logistics and warehousing module. The output end of the production monitoring and scheduling module is signal-connected to the input end of the manufacturing execution system module, the output end of the manufacturing execution system module is signal-connected to the input end of the traceability management system module, and the output end of the traceability management system module is signal-connected to the input end of the intelligent logistics and warehousing module; The manufacturing execution system module is used to sort and schedule limited resource capabilities, optimize work plans, manage the resources required for production, coordinate the allocation of workers, production equipment, tools, and materials, and track their current work status and completion status. The traceability management system module can completely, accurately, and in real time record all types of information in the product production process, achieving full traceability from raw materials to final products. The intelligent logistics warehousing module uses automated high-bay warehouses to store and retrieve goods, improving warehouse storage efficiency and space utilization. The automatic conveying and sorting system enables rapid sorting and transportation of goods, thereby improving logistics efficiency. The intelligent decision-making layer includes an AI intelligent monitoring module and a digital twin engine module. The output signal of the traceability management system module is connected to the AI ​​intelligent monitoring module, and the output signal of the AI ​​intelligent monitoring module is connected to the digital twin engine module. The AI ​​intelligent monitoring module is used to achieve intelligent upgrades in construction operations and management, reduce construction safety hazards, save management costs, and promote the standardization, informatization, and intelligence of engineering construction management. The digital twin engine module is used for model establishment and integration, simulation and prediction, real-time monitoring and feedback, as well as fault diagnosis and maintenance.

2. The information management and monitoring system for smart factory construction according to claim 1, characterized in that: The equipment layer includes a PLC controller, a sensor and an AGV. The output ends of the PLC controller, the sensor and the AGV are all connected to the input end signal of the data acquisition and analysis module, and the output end and input end of the AGV are both connected to the intelligent logistics warehousing module signal.

3. The information management and monitoring system for smart factory construction according to claim 2, characterized in that: The sensor is used for abnormal monitoring of smart factories, and the AGV automatically performs transportation tasks through the intelligent logistics warehousing module.

4. The information management and monitoring system for smart factory construction according to claim 1, characterized in that: The visualization layer includes an information display module, and the output end signal of the digital twin engine module is connected to the information display module.

5. The information management and monitoring system for smart factory construction according to claim 4 is characterized in that: The information display module is used to present various types of collected data to management personnel in an intuitive manner, facilitating quick understanding and analysis.

6. The information management and monitoring system for smart factory construction according to claim 1, characterized in that: The manufacturing execution system module includes a production scheduling module, a resource allocation module, a production management module and a document management module, and the production scheduling module, resource allocation module, production management module and document management module are all connected to the manufacturing execution system module in a bidirectional signal manner.

7. The information management and monitoring system for smart factory construction according to claim 6, characterized in that: The production scheduling module is used to coordinate and arrange various aspects of production activities to ensure the smooth implementation of production plans. The resource allocation module is used to reasonably allocate and utilize various resources within the factory to ensure the smooth progress of production activities.

8. The information management and monitoring system for smart factory construction according to claim 6, characterized in that: The production management module is used to comprehensively manage all aspects of production activities to ensure the efficiency, stability and controllability of the production process. The document management module is used to manage and maintain various documents and materials within the factory to ensure the security, accuracy and convenient use of documents.

9. The information management and monitoring system for smart factory construction according to claim 1, characterized in that: The model establishes and integrates tools and methods for building digital twin models, integrating different types of data sources and sensors, extracting information from real-time data, and integrating and calibrating it with the model; the simulation and prediction simulate the behavior and interaction of physical systems to predict performance, efficiency and reliability under different conditions, helping to optimize the design and decision-making process.

10. The information management and monitoring system for smart factory construction according to claim 1, characterized in that: The real-time monitoring and feedback is used to monitor the operating status of the physical system in real time and compare and analyze the real-time data with the digital model; the fault diagnosis and maintenance detects and diagnoses potential faults or abnormal conditions by comparing the model with the actual data, and provides corresponding maintenance and repair suggestions.

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