Equipment management system and method based on digital twin technology

Abstract

The invention discloses an equipment management system and method based on a digital twin technology. According to the invention, the digital twinborn model is constructed to provide a highly realistic virtual copy for the system, and the copy can reflect the state and behavior of actual equipment in real time. Through parameter definition, structural modeling and behavioral modeling of the model design sub-module, the system can create an accurate equipment model, and the model not only contains physical characteristics of equipment, but also can simulate the performance of the equipment under different working conditions. According to the model, the system can perform various simulation experiments and analysis without directly intervening actual equipment, so that the test and verification cost is greatly reduced. Meanwhile, the environmental adaptability evaluation of the model simulation sub-module can predict the performance of the equipment in different working environments, and helps an enterprise to identify potential problems before equipment deployment, thereby avoiding expensive field adjustment and maintenance.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment management, and specifically relates to an equipment management system and method based on digital twin technology. Background Art

[0002] With the advent of the Industrial 4.0 era, the management and maintenance of equipment has become increasingly complex, and the requirements for real-time, accuracy and intelligence have become increasingly high. Although some of the existing equipment management systems have begun to adopt sensor technology and data processing algorithms, these systems can often only provide static information about the equipment or simple alarm functions, and lack dynamic management and in-depth analysis of the entire life cycle of the equipment. In addition, these systems still have certain deficiencies in the real-time transmission of data, the effectiveness of data processing, and the convenience of user interaction. As an emerging virtual simulation technology, digital twin technology has shown great potential in product design, manufacturing, operation and maintenance. Digital twin technology achieves full life cycle management of physical objects by creating mirror models of physical objects in the real world in virtual space.

[0003] However, the current system for applying digital twin technology to equipment management is not yet mature, especially in terms of accurate model construction, real-time updating and user interaction, there are still many technical problems that need to be solved. Summary of the invention

[0004] The purpose of the present invention is to provide an equipment management system and method based on digital twin technology in order to solve the above-mentioned problems.

[0005] The technical solution adopted by the present invention is as follows: an equipment management system based on digital twin technology, the system comprising: a data acquisition module, a data transmission module, a data processing module, a digital twin model module, an application service layer module and a user interface layer module;

[0006] The digital twin model module is internally provided with a model design submodule, a model simulation submodule, a model verification submodule, a model update submodule and a model interaction submodule;

[0007] As the front end of the system, the data acquisition module is responsible for collecting various types of data from equipment in real time, including sensor data, working condition data and environmental data, and then sending these data to the data processing module through the wired or wireless network of the data transmission module; after receiving the data, the data processing module preprocesses, cleans and stores the data to ensure the quality and availability of the data, and passes the processed data to the digital twin model module; the digital twin model module uses these data to build and update the virtual model, perform simulation and verification, so as to achieve accurate mapping and predictive analysis of real equipment; the application service layer module executes various business logics according to the information provided by the digital twin model module, and displays the results to the user through the user interface layer module; the user interface layer module provides an interactive interface for users, receives user operation instructions and feedback, and passes this information to the application service layer module, thereby affecting the adjustment and optimization of the digital twin model module;

[0008] The model design submodule is responsible for initializing the parameter definition, structural modeling and behavioral modeling of the digital twin model, providing a basis for subsequent simulation and verification; then, the model simulation submodule uses the model output by the design submodule to perform physical simulation and performance analysis, as well as environmental adaptability evaluation to simulate the performance of the equipment in the actual environment; then, the model verification submodule compares the simulation results with the real-time data through the data comparison unit and the parameter calibration unit to verify the accuracy of the model, and feeds back to the model design submodule for parameter adjustment; at the same time, the model update submodule ensures that the model can be continuously updated according to new data and feedback through the real-time data fusion unit and the model iteration unit to keep the model up to date; finally, the model interaction submodule provides users with a platform for interacting with the model through the user interaction interface and the external system interface, and realizes data exchange with other systems. It transmits user needs and information from the external system to other submodules to guide the adjustment and optimization of the model; in this way, a closed-loop connection relationship is formed between the submodules, which jointly promotes the efficient operation and continuous improvement of the digital twin model construction module.

[0009] In a preferred embodiment, the data acquisition module is the perception layer of the system, which is responsible for collecting key data from equipment in the real world; including sensor data acquisition, working condition data acquisition and environmental data monitoring; during use, first, the sensor data acquisition unit monitors the operating status of the equipment in real time through various sensors installed on the equipment; the working condition data acquisition unit collects the operating data of the equipment, including start and stop time and working mode; finally, the environmental data monitoring unit collects information about the environment in which the equipment is located, including temperature, humidity and vibration; these data are collected through a preset sampling frequency and protocol, and temporarily stored in a local cache to be transmitted to the next stage;

[0010] The data transmission module is responsible for safely and efficiently transmitting the data collected by the data acquisition module to the data processing module; it includes data packaging, encryption, transmission and reception; during use, the data packaging unit encapsulates the collected data in a certain format for network transmission; the encryption unit encrypts the encapsulated data to ensure the security of the data during transmission; the transmission unit sends the data to the data processing module via a wired or wireless network; the receiving unit is responsible for receiving the data at the data processing module end, and unpacking and decrypting it for subsequent processing.

[0011] In a preferred embodiment, the data processing module is the data processing center of the system, which is responsible for processing and analyzing the transmitted data; it includes data preprocessing, data cleaning, data storage and data mining; during use, the data preprocessing unit performs preliminary processing on the original data, including time synchronization and unit conversion; the data cleaning unit removes invalid, erroneous or duplicate data to improve data quality; the data storage unit stores the cleaned data in a database for long-term storage and rapid retrieval; the data mining unit analyzes the data through algorithms, extracts valuable information and knowledge, and provides support for the digital twin model.

[0012] In a preferred embodiment, the model design submodule is the starting point for building a digital twin model, which is responsible for defining and building the basic framework of the digital twin model; the specific content mainly includes three parts: parameter definition, structural modeling and behavioral modeling; during use, first, the parameter definition unit sets the initial parameters of the model through user input or automatic acquisition, including size, material properties, and physical properties; then, the structural modeling unit uses these parameters to build a three-dimensional structural model of the equipment in a virtual environment, including geometric shape and component layout; finally, the behavioral modeling unit defines the behavioral logic of the model, including kinematic, dynamic and thermodynamic responses; in this process, the model design submodule uses professional CAD tools and modeling software to ensure the accuracy and authenticity of the model;

[0013] The model simulation submodule is responsible for conducting simulation experiments on the designed digital twin model to simulate the behavior of the equipment in the actual environment; it includes physical simulation, performance analysis and environmental adaptability evaluation; during use, the physical simulation unit predicts the behavior of the equipment by simulating the physical processes of the equipment, including mechanical movement and heat exchange; the performance analysis unit calculates the key performance indicators in the simulation process, including efficiency and energy consumption; the environmental adaptability evaluation unit simulates different working environment conditions to test the performance of the model under different conditions; this submodule relies on high-performance computing resources and professional simulation software to generate detailed result reports through iterative calculation and simulation.

[0014] In a preferred embodiment, the model verification submodule is a key link in ensuring the accuracy of the digital twin model; it includes data comparison and parameter calibration; during use, the data comparison unit compares the simulation data output by the model simulation submodule with the actual collected data, and evaluates the accuracy of the model through statistical analysis methods; the parameter calibration unit fine-tunes the parameters in the model design submodule based on the results of the data comparison to reduce the deviation between the simulation and the actual; this process may require multiple iterations until the model's predicted results are close enough to the actual data.

[0015] In a preferred embodiment, the model update submodule is responsible for continuously updating the digital twin model as time goes by and data accumulates; including real-time data fusion and model iteration; during use, the real-time data fusion unit integrates new sensor data, operating condition data and environmental data with existing model data to ensure that the model reflects the latest equipment status; the model iteration unit updates the structure, parameters or behavior logic of the model based on the fused data to maintain the timeliness and accuracy of the model; this process may involve machine learning algorithms to automatically identify data patterns and adjust the model.

[0016] In a preferred embodiment, the model interaction submodule provides a platform for users to interact with the digital twin model; it includes a user interaction interface and an external system interface; during use, the user interaction interface allows users to browse, query, operate and configure the digital twin model through a graphical interface, command line or virtual reality technology; the external system interface is responsible for exchanging data with other information systems of the enterprise to ensure that the digital twin model can be integrated into a broader enterprise digital framework; the design of this submodule focuses on user experience, and improves user acceptance and usage efficiency of the model through an intuitive interface and convenient operation.

[0017] In a preferred embodiment, the application service layer module provides the system's business logic processing capabilities, converting the data generated by the digital twin model module into specific business applications; including fault diagnosis, performance optimization, and operation and maintenance management; during use, the fault diagnosis unit analyzes the model data to identify potential failure modes and causes; the performance optimization unit proposes improvement measures to improve equipment performance; the operation and maintenance management unit formulates maintenance plans and manages the life cycle of equipment; these services are implemented through predefined algorithms and rules to provide users with decision support and operational guidance.

[0018] In a preferred embodiment, the user interface layer module is the direct interface for interaction between the system and the user, responsible for displaying information and receiving user instructions; it includes graphical interface design, interactive logic implementation and feedback processing; during use, the graphical interface design unit uses UI / UX design principles to create an intuitive and easy-to-use operating interface; the interactive logic implementation unit defines the relationship between user operations and system responses; the feedback processing unit collects user feedback and optimizes the interface design and interactive experience; the user interface layer module enables users to effectively monitor and manage equipment by displaying equipment status, alarm information and management suggestions in real time.

[0019] In a preferred embodiment, a method for equipment management based on digital twin technology includes the following steps:

[0020] S1: First, the data acquisition module collects the equipment's operating data, environmental data, and performance indicators in real time through sensors and other monitoring devices installed on the equipment;

[0021] S2: The collected data is packaged and encrypted by the data transmission module and transmitted to the data processing module through a wired or wireless network to ensure the real-time and security of the data;

[0022] S3: After receiving the data, the data processing module performs data preprocessing, cleaning and storage, extracts valuable information through data mining technology, and provides an accurate data foundation for the digital twin model;

[0023] S4: Digital twin model construction:

[0024] S4-1. The model design submodule builds the basic framework of the digital twin model according to the actual parameters and characteristics of the equipment;

[0025] S4-2. The model simulation submodule simulates the operation of the equipment in the actual environment and predicts the behavior and performance of the equipment;

[0026] S4-3. The model verification submodule verifies the accuracy of the model by comparing the virtual model with the operating data of the actual equipment;

[0027] S4-4. The model update submodule continuously iterates and optimizes the digital twin model based on real-time data and user feedback to maintain its consistency with the real equipment;

[0028] S4-5. The model interaction submodule provides a platform for users to interact with the digital twin model, allowing users to query information, adjust parameters and perform simulation operations;

[0029] S5: The application service layer module uses the data and analysis results provided by the digital twin model to perform fault diagnosis, performance optimization, and operation and maintenance management business logic to provide decision support for users;

[0030] S6: The user interface layer module displays the equipment status, alarm information, and management suggestions to the user through a graphical interface, and receives the user's operating instructions and feedback to ensure that the user can monitor and manage the equipment intuitively.

[0031] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0032] 1. In the present invention, the digital twin model construction provides a highly realistic virtual copy for the system, which can reflect the status and behavior of the actual equipment in real time. Through the parameter definition, structural modeling and behavioral modeling of the model design submodule, the system can create an accurate equipment model, which not only includes the physical properties of the equipment, but also simulates its performance under different working conditions. Such a model enables the system to conduct various simulation experiments and analyses without directly intervening in the actual equipment, greatly reducing the cost of testing and verification. At the same time, the environmental adaptability assessment of the model simulation submodule can predict the performance of equipment in different working environments, helping enterprises to identify potential problems before equipment deployment, thereby avoiding expensive on-site adjustments and repairs.

[0033] 2. In the present invention, the dynamic update and verification mechanism of the digital twin model construction ensures the continuous accuracy and timeliness of the model. The model update submodule can continuously integrate new data and feedback into the model through real-time data fusion and model iteration, so that the model can adapt to the aging, wear and environmental changes of the equipment. The model verification submodule ensures that the simulation results are consistent with the operating data of the actual equipment through data comparison and parameter calibration, thereby improving the reliability of system decision support. This closed-loop model construction and verification process not only improves the efficiency of equipment management, but also enhances the risk management capabilities of enterprises, reducing downtime and economic losses caused by equipment failure or performance degradation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is the overall system block diagram of the present invention;

[0035] Figure 2 This is a system block diagram of the digital twin model module in the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0037] Reference Figure 1-2, an equipment management system based on digital twin technology, the system includes: a data acquisition module, a data transmission module, a data processing module, a digital twin model module, an application service layer module and a user interface layer module;

[0038] The digital twin model module is internally provided with a model design submodule, a model simulation submodule, a model verification submodule, a model update submodule and a model interaction submodule;

[0039] As the front end of the system, the data acquisition module is responsible for collecting various types of data from equipment in real time, including sensor data, working condition data, and environmental data, and then sending these data to the data processing module through the wired or wireless network of the data transmission module. After receiving the data, the data processing module preprocesses, cleans, and stores the data to ensure the quality and availability of the data, and passes the processed data to the digital twin model module. The digital twin model module uses these data to build and update virtual models, perform simulations and verifications, so as to achieve accurate mapping and predictive analysis of real equipment. The application service layer module executes various business logics, such as fault diagnosis, performance optimization, and operation and maintenance management, based on the information provided by the digital twin model module, and displays the results to the user through the user interface layer module. The user interface layer module provides an interactive interface for users, receives user operation instructions and feedback, and passes this information to the application service layer module, thereby affecting the adjustment and optimization of the digital twin model module;

[0040] The model design submodule is responsible for initializing the parameter definition, structural modeling and behavioral modeling of the digital twin model, providing a basis for subsequent simulation and verification; then, the model simulation submodule uses the model output by the design submodule for physical simulation and performance analysis, as well as environmental adaptability evaluation to simulate the performance of the equipment in the actual environment; then, the model verification submodule compares the simulation results with the real-time data through the data comparison unit and the parameter calibration unit to verify the accuracy of the model, and feeds back to the model design submodule for parameter adjustment; at the same time, the model update submodule ensures that the model can be continuously updated according to new data and feedback through the real-time data fusion unit and the model iteration unit to keep the model up to date; finally, the model interaction submodule provides users with a platform for interaction with the model through the user interaction interface and the external system interface, and realizes data exchange with other systems. It transmits user needs and information from the external system to other submodules to guide the adjustment and optimization of the model. In this way, a closed-loop connection relationship is formed between the submodules, which jointly promotes the efficient operation and continuous improvement of the digital twin model construction module.

[0041] The data acquisition module is the perception layer of the system, responsible for collecting key data from equipment in the real world. It includes sensor data acquisition, working condition data acquisition and environmental data monitoring. The operation method is as follows: First, the sensor data acquisition unit monitors the operating status of the equipment in real time through various sensors installed on the equipment (such as temperature sensors, pressure sensors, etc.). Secondly, the working condition data acquisition unit collects the operating data of the equipment, such as start and stop time, working mode, etc. Finally, the environmental data monitoring unit collects information about the environment in which the equipment is located, such as temperature, humidity, vibration, etc. These data are collected through preset sampling frequencies and protocols, and temporarily stored in the local cache, waiting to be transmitted to the next stage;

[0042] The data transmission module is responsible for safely and efficiently transmitting the data collected by the data acquisition module to the data processing module. It includes data packaging, encryption, transmission and reception. The operation method is as follows: The data packaging unit encapsulates the collected data in a certain format for easy network transmission. The encryption unit encrypts the encapsulated data to ensure the security of the data during transmission. The transmission unit sends the data to the data processing module via a wired or wireless network (such as Ethernet, Wi-Fi, 4G / 5G, etc.). The receiving unit is responsible for receiving the data at the data processing module end, and unpacking and decrypting it for subsequent processing.

[0043] The data processing module is the data processing center of the system, responsible for processing and analyzing the transmitted data. It includes data preprocessing, data cleaning, data storage and data mining. The operation method is as follows: The data preprocessing unit performs preliminary processing on the original data, such as time synchronization, unit conversion, etc. The data cleaning unit removes invalid, erroneous or duplicate data to improve data quality. The data storage unit stores the cleaned data in the database for long-term storage and fast retrieval. The data mining unit analyzes the data through algorithms, extracts valuable information and knowledge, and provides support for the digital twin model.

[0044] The model design submodule is the starting point for building a digital twin model. It is responsible for defining and building the basic framework of the digital twin model. The specific content mainly includes three parts: parameter definition, structural modeling, and behavioral modeling. The operation method is as follows: First, the parameter definition unit sets the initial parameters of the model, such as size, material properties, physical properties, etc., through user input or automatic acquisition. Then, the structural modeling unit uses these parameters to build a three-dimensional structural model of the equipment in a virtual environment, including geometric shapes and component layouts. Finally, the behavioral modeling unit defines the behavioral logic of the model, such as kinematics, dynamics, and thermodynamic responses. In this process, the model design submodule will use professional CAD tools and modeling software to ensure the accuracy and authenticity of the model.

[0045] The model simulation submodule is responsible for conducting simulation experiments on the designed digital twin model to simulate the behavior of the equipment in the actual environment. It includes physical simulation, performance analysis and environmental adaptability evaluation. The operation method is as follows: The physical simulation unit predicts the behavior of the equipment by simulating the physical processes of the equipment, such as mechanical movement, heat exchange, etc. The performance analysis unit calculates the key performance indicators in the simulation process, such as efficiency, energy consumption, etc. The environmental adaptability evaluation unit simulates different working environment conditions to test the performance of the model under different conditions. This submodule usually relies on high-performance computing resources and professional simulation software to generate detailed result reports through iterative calculations and simulations.

[0046] The model verification submodule is a key link to ensure the accuracy of the digital twin model. It includes data comparison and parameter calibration. The operation method is as follows: the data comparison unit compares the simulation data output by the model simulation submodule with the actual collected data, and evaluates the accuracy of the model through statistical analysis methods such as mean square error and correlation analysis. The parameter calibration unit fine-tunes the parameters in the model design submodule based on the results of the data comparison to reduce the deviation between the simulation and the actual data. This process may require multiple iterations until the model's prediction results are close enough to the actual data.

[0047] The model update submodule is responsible for continuously updating the digital twin model as time goes by and data accumulates. It includes real-time data fusion and model iteration. The operation method is as follows: The real-time data fusion unit integrates new sensor data, working condition data, and environmental data with existing model data to ensure that the model reflects the latest equipment status. The model iteration unit updates the structure, parameters, or behavior logic of the model based on the fused data to maintain the timeliness and accuracy of the model. This process may involve machine learning algorithms to automatically identify data patterns and adjust the model.

[0048] The model interaction submodule provides a platform for users to interact with the digital twin model. It includes a user interaction interface and an external system interface. The operation method is as follows: The user interaction interface allows users to browse, query, operate and configure the digital twin model through a graphical interface, command line or virtual reality technology. The external system interface is responsible for data exchange with other information systems of the enterprise (such as ERP, SCADA, etc.) to ensure that the digital twin model can be integrated into a wider enterprise digital framework. The design of this submodule focuses on user experience, and improves user acceptance and efficiency of the model through an intuitive interface and convenient operation.

[0049] The application service layer module provides the system's business logic processing capabilities and converts the data generated by the digital twin model module into specific business applications. This includes fault diagnosis, performance optimization, operation and maintenance management, etc. The operation method is as follows: the fault diagnosis unit analyzes the model data to identify potential failure modes and causes; the performance optimization unit proposes improvement measures to improve equipment performance; the operation and maintenance management unit formulates maintenance plans and manages the life cycle of equipment. These services are implemented through predefined algorithms and rules to provide users with decision support and operation guidance.

[0050] The user interface layer module is the direct interface between the system and the user, responsible for displaying information and receiving user instructions. It includes graphical interface design, interactive logic implementation and feedback processing. The operation method is as follows: the graphical interface design unit uses UI / UX design principles to create an intuitive and easy-to-use operation interface; the interactive logic implementation unit defines the relationship between user operations and system responses; the feedback processing unit collects user feedback and optimizes the interface design and interactive experience. The user interface layer module enables users to effectively monitor and manage equipment by displaying equipment status, alarm information and management suggestions in real time.

[0051] A method for equipment management based on digital twin technology includes the following steps:

[0052] S1: First, the data acquisition module collects the equipment's operating data, environmental data and performance indicators in real time through sensors and other monitoring devices installed on the equipment.

[0053] S2: The collected data is packaged and encrypted by the data transmission module and transmitted to the data processing module via a wired or wireless network to ensure the real-time and security of the data.

[0054] S3: After receiving the data, the data processing module performs data preprocessing, cleaning and storage, extracts valuable information through data mining technology, and provides an accurate data foundation for the digital twin model.

[0055] S4: Digital twin model construction:

[0056] S4-1. The model design submodule builds the basic framework of the digital twin model based on the actual parameters and characteristics of the equipment.

[0057] S4-2. The model simulation submodule simulates the operation of the equipment in the actual environment and predicts the behavior and performance of the equipment.

[0058] S4-3. The model verification submodule verifies the accuracy of the model by comparing the virtual model with the operating data of the actual equipment.

[0059] S4-4. The model update submodule continuously iterates and optimizes the digital twin model based on real-time data and user feedback to maintain its consistency with the real equipment.

[0060] S4-5. The model interaction submodule provides a platform for users to interact with the digital twin model, allowing users to query information, adjust parameters and perform simulation operations.

[0061] S5: The application service layer module uses the data and analysis results provided by the digital twin model to execute business logic such as fault diagnosis, performance optimization, and operation and maintenance management to provide decision support for users.

[0062] S6: The user interface layer module displays the equipment status, alarm information, management suggestions, etc. to the user through a graphical interface, and receives the user's operation instructions and feedback to ensure that the user can monitor and manage the equipment intuitively.

[0063] In the present invention, the digital twin model construction provides a highly realistic virtual copy for the system, which can reflect the status and behavior of the actual equipment in real time. Through the parameter definition, structural modeling and behavioral modeling of the model design submodule, the system can create an accurate equipment model that not only includes the physical properties of the equipment, but also simulates its performance under different working conditions. Such a model enables the system to conduct various simulation experiments and analyses without directly intervening in the actual equipment, greatly reducing the cost of testing and verification. At the same time, the environmental adaptability assessment of the model simulation submodule can predict the performance of the equipment in different working environments, helping enterprises to identify potential problems before the equipment is deployed, thereby avoiding expensive on-site adjustments and repairs.

[0064] In the present invention, the dynamic update and verification mechanism of the digital twin model construction ensures the continuous accuracy and timeliness of the model. The model update submodule can continuously integrate new data and feedback into the model through real-time data fusion and model iteration, so that the model can adapt to the aging, wear and environmental changes of the equipment. The model verification submodule ensures that the simulation results are consistent with the operating data of the actual equipment through data comparison and parameter calibration, thereby improving the reliability of system decision support. This closed-loop model construction and verification process not only improves the efficiency of equipment management, but also enhances the risk management capabilities of enterprises, reducing downtime and economic losses caused by equipment failure or performance degradation.

[0065] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0066] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An equipment management system based on digital twin technology, characterized by: The system includes: a data acquisition module, a data transmission module, a data processing module, a digital twin model module, an application service layer module and a user interface layer module; The digital twin model module is internally provided with a model design submodule, a model simulation submodule, a model verification submodule, a model update submodule and a model interaction submodule; As the front end of the system, the data acquisition module is responsible for collecting various types of data from equipment in real time, including sensor data, working condition data and environmental data, and then sending these data to the data processing module through the wired or wireless network of the data transmission module; after receiving the data, the data processing module preprocesses, cleans and stores the data to ensure the quality and availability of the data, and passes the processed data to the digital twin model module; the digital twin model module uses these data to build and update the virtual model, perform simulation and verification, so as to achieve accurate mapping and predictive analysis of real equipment; the application service layer module executes various business logics according to the information provided by the digital twin model module, and displays the results to the user through the user interface layer module; the user interface layer module provides an interactive interface for users, receives user operation instructions and feedback, and passes this information to the application service layer module, thereby affecting the adjustment and optimization of the digital twin model module; The model design submodule is responsible for initializing the parameter definition, structural modeling and behavioral modeling of the digital twin model, providing a basis for subsequent simulation and verification; then, the model simulation submodule uses the model output by the design submodule to perform physical simulation and performance analysis, as well as environmental adaptability evaluation to simulate the performance of the equipment in the actual environment; then, the model verification submodule compares the simulation results with the real-time data through the data comparison unit and the parameter calibration unit to verify the accuracy of the model, and feeds back to the model design submodule for parameter adjustment; at the same time, the model update submodule ensures that the model can be continuously updated according to new data and feedback through the real-time data fusion unit and the model iteration unit to keep the model up to date; finally, the model interaction submodule provides users with a platform for interacting with the model through the user interaction interface and the external system interface, and realizes data exchange with other systems. It transmits user needs and information from the external system to other submodules to guide the adjustment and optimization of the model; in this way, a closed-loop connection relationship is formed between the submodules, which jointly promotes the efficient operation and continuous improvement of the digital twin model construction module.

2. The equipment management system based on digital twin technology according to claim 1, characterized in that: The data acquisition module is the perception layer of the system, responsible for collecting key data from equipment in the real world; including sensor data acquisition, working condition data acquisition and environmental data monitoring; during use, first, the sensor data acquisition unit monitors the operating status of the equipment in real time through various sensors installed on the equipment; the working condition data acquisition unit collects the operating data of the equipment, including start and stop time and working mode; finally, the environmental data monitoring unit collects information about the environment in which the equipment is located, including temperature, humidity and vibration; these data are collected through a preset sampling frequency and protocol, and temporarily stored in the local cache to be transmitted to the next stage; The data transmission module is responsible for safely and efficiently transmitting the data collected by the data acquisition module to the data processing module; It includes data packaging, encryption, transmission and reception; during use, the data packaging unit will encapsulate the collected data in a certain format for easy network transmission; the encryption unit encrypts the encapsulated data to ensure the security of the data during transmission; the transmission unit sends the data to the data processing module via a wired or wireless network; the receiving unit is responsible for receiving the data at the data processing module end, and unpacking and decrypting it for subsequent processing.

3. The equipment management system based on digital twin technology according to claim 1, characterized in that: The data processing module is the data processing center of the system, responsible for processing and analyzing the transmitted data; including data preprocessing, data cleaning, data storage and data mining; during use, the data preprocessing unit performs preliminary processing on the original data, including time synchronization and unit conversion; The data cleaning unit removes invalid, erroneous or duplicate data to improve data quality; the data storage unit stores the cleaned data in the database for long-term preservation and rapid retrieval; the data mining unit analyzes data through algorithms, extracts valuable information and knowledge, and provides support for the digital twin model.

4. The equipment management system based on digital twin technology according to claim 1, characterized in that: The model design submodule is the starting point for building a digital twin model, and it is responsible for defining and building the basic framework of the digital twin model; The specific content mainly includes three parts: parameter definition, structural modeling and behavioral modeling. During the use process, the parameter definition unit first sets the initial parameters of the model through user input or automatic acquisition, including size, material properties, and physical characteristics. Then, the structural modeling unit uses these parameters to build a three-dimensional structural model of the equipment in a virtual environment, including geometric shapes and component layouts. Finally, the behavioral modeling unit defines the behavioral logic of the model, including kinematic, dynamic and thermodynamic responses. During this process, the model design submodule uses professional CAD tools and modeling software to ensure the accuracy and authenticity of the model. The model simulation submodule is responsible for conducting simulation experiments on the designed digital twin model to simulate the behavior of the equipment in the actual environment; It includes physical simulation, performance analysis and environmental adaptability assessment. During use, the physical simulation unit simulates the physical processes of the equipment, including mechanical movement and heat exchange, to predict the behavior of the equipment. The performance analysis unit calculates the key performance indicators in the simulation process, including efficiency and energy consumption. The environmental adaptability evaluation unit simulates different working environment conditions to test the performance of the model in different situations; This submodule relies on high-performance computing resources and professional simulation software to generate detailed result reports through iterative calculations and simulations.

5. The equipment management system based on digital twin technology according to claim 1, characterized in that: The model verification submodule is a key link in ensuring the accuracy of the digital twin model; Including data comparison and parameter calibration; during use, the data comparison unit compares the simulation data output by the model simulation submodule with the actual collected data, and evaluates the accuracy of the model through statistical analysis methods; the parameter calibration unit fine-tunes the parameters in the model design submodule based on the results of data comparison to reduce the deviation between simulation and reality; This process may require multiple iterations until the model's predictions are close enough to the actual data.

6. The equipment management system based on digital twin technology according to claim 1, characterized in that: The model update submodule is responsible for continuously updating the digital twin model as time goes by and data accumulates; Including real-time data fusion and model iteration; during use, the real-time data fusion unit integrates new sensor data, working condition data and environmental data with existing model data to ensure that the model reflects the latest equipment status; The model iteration unit updates the model's structure, parameters or behavioral logic based on the fused data to maintain the timeliness and accuracy of the model; this process may involve machine learning algorithms to automatically identify data patterns and adjust the model.

7. The equipment management system based on digital twin technology according to claim 1, characterized in that: The model interaction submodule provides a platform for users to interact with the digital twin model; It includes user interaction interface and external system interface. During use, the user interaction interface allows users to browse, query, operate and configure the digital twin model through a graphical interface, command line or virtual reality technology. The external system interface is responsible for exchanging data with other information systems of the enterprise to ensure that the digital twin model can be integrated into a wider enterprise digital framework. The design of this sub-module focuses on user experience, and improves user acceptance and usage efficiency of the model through an intuitive interface and convenient operation.

8. The equipment management system based on digital twin technology according to claim 1, characterized in that: The application service layer module provides the system's business logic processing capabilities and converts the data generated by the digital twin model module into specific business applications; It includes fault diagnosis, performance optimization, and operation and maintenance management; during use, the fault diagnosis unit analyzes model data to identify potential failure modes and causes; the performance optimization unit proposes improvement measures to enhance equipment performance; the operation and maintenance management unit formulates maintenance plans and manages the life cycle of equipment; these services are implemented through predefined algorithms and rules to provide users with decision support and operational guidance.

9. The equipment management system based on digital twin technology according to claim 1, characterized in that: The user interface layer module is the direct interface for the system to interact with the user, responsible for displaying information and receiving user instructions; Including graphic interface design, interactive logic implementation and feedback processing; during use, the graphic interface design unit uses UI / UX design principles to create an intuitive and easy-to-use operation interface; The interactive logic implementation unit defines the relationship between user operations and system responses; The feedback processing unit collects user feedback and optimizes the interface design and interactive experience; the user interface layer module enables users to effectively monitor and manage equipment by displaying equipment status, alarm information and management suggestions in real time.

10. A method for equipment management based on digital twin technology, characterized in that: The use of the equipment management system based on digital twin technology as claimed in any one of claims 1 to 9 during operation specifically includes the following steps: S1: First, the data acquisition module collects the equipment's operating data, environmental data, and performance indicators in real time through sensors and other monitoring devices installed on the equipment; S2: The collected data is packaged and encrypted by the data transmission module and transmitted to the data processing module through a wired or wireless network to ensure the real-time and security of the data; S3: After receiving the data, the data processing module performs data preprocessing, cleaning and storage, extracts valuable information through data mining technology, and provides an accurate data foundation for the digital twin model; S4: Digital twin model construction: S4-1. The model design submodule builds the basic framework of the digital twin model according to the actual parameters and characteristics of the equipment; S4-2. The model simulation submodule simulates the operation of the equipment in the actual environment and predicts the behavior and performance of the equipment; S4-3. The model verification submodule verifies the accuracy of the model by comparing the virtual model with the operating data of the actual equipment; S4-4. The model update submodule continuously iterates and optimizes the digital twin model based on real-time data and user feedback to maintain its consistency with the real equipment; S4-5. The model interaction submodule provides a platform for users to interact with the digital twin model, allowing users to query information, adjust parameters and perform simulation operations; S5: The application service layer module uses the data and analysis results provided by the digital twin model to perform fault diagnosis, performance optimization, and operation and maintenance management business logic to provide decision support for users; S6: The user interface layer module displays the equipment status, alarm information, and management suggestions to the user through a graphical interface, and receives the user's operating instructions and feedback to ensure that the user can monitor and manage the equipment intuitively.

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