Multi-dimensional dynamic construction method, device, equipment and medium for digital twin of ultra-high-speed optical module production line

Abstract

The invention discloses a multi-dimensional dynamic construction method, device, equipment and medium for a digital twinning body of an ultra-high-speed optical module production line, and belongs to the technical field of digital twinning, and the method comprises the steps: constructing a digital twinning geometric model corresponding to each part of a production line main body based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment; identifying nodes of each physical device from a data source or a sensor of the ultra-high-speed optical module manufacturing unit to obtain information to construct a physical model of the device; defining semantic description of each behavior in the operation process of the ultra-high-speed optical module production line, and establishing a virtual process model of the production line; collecting historical data to construct a data model of the production line; fusing the four models to establish a comprehensive static model of the ultra-high-speed optical module production line; and integrating the static digital twin with a manufacturing execution system of an enterprise to complete dynamic reconstruction of the static digital twin and a physical world. According to the invention, perfect functions can be provided for actual production from various aspects.

Description

Technical Field

[0001] The present invention belongs to the field of digital twin technology, and more specifically, relates to a multi-dimensional dynamic construction method, device, equipment and medium for a digital twin of an ultra-high-speed optical module production line. Background Art

[0002] Digital twins are virtual entities created from physical entities in a digital way. By making full use of data such as physical models, sensor updates, and operation history, and integrating multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes, digital twins are mapped in virtual space to reflect the entire life cycle of the corresponding physical equipment. For the main equipment in the production of ultra-high-speed optical modules, the use of digital twin technology can virtualize the physical production line, realize the observation of the equipment, and the real-time monitoring, optimization, and prediction of the production process.

[0003] As an emerging intelligent manufacturing technology, digital twin technology can effectively make up for the shortcomings of traditional production line management. Digital twins achieve refined management and intelligent optimization of the production process through real-time mapping of virtual models and actual production systems, and have significant advantages. First, digital twins can collect and monitor various data of the production line in real time, including equipment status, process parameters, environmental conditions, etc., to achieve comprehensive monitoring and management of the production process. Secondly, through data analysis and mining, digital twins can provide accurate decision support, help managers quickly identify bottlenecks and problems in the production process, and put forward optimization suggestions. In addition, based on machine learning and artificial intelligence algorithms, digital twins can predict and prevent faults and maintain production lines, reduce equipment failure rates, and improve the reliability and stability of production lines. Digital twins can also perform virtual simulation and optimization experiments, and find the best production plan by simulating different production conditions and process parameters to improve production efficiency and product quality. Finally, through three-dimensional visualization technology, digital twins can intuitively display the status and operation of the production line, and users can interact through virtual reality technology to improve the convenience and intuitiveness of management.

[0004] Optical modules are one of the core components in optical fiber communication systems. Ultra-high-speed optical modules have become a key element for achieving high bandwidth and wide coverage in various application fields of optical fiber communication. In traditional ultra-high-speed optical module production lines, the production process mainly relies on manual monitoring and experience management, which has many limitations. First, there is a lack of effective data sharing and information exchange between processes, resulting in poor overall coordination of the production line and serious information island phenomenon. The data in the production process cannot be integrated and analyzed in real time, affecting the timeliness and accuracy of decision-making. Secondly, the management and optimization of the production line mainly depends on the experience and skill level of the operators. Experienced operators can effectively deal with various production problems, but novice operators often find it difficult to quickly grasp the complex problems in the production process. In addition, due to the lack of real-time monitoring and intelligent analysis methods, the production line is often difficult to respond and handle in time when abnormal situations occur, resulting in reduced production efficiency and even causing serious quality problems. Finally, the optical module production line contains many precision equipment and complex processes. Traditional management methods make it difficult to achieve refined control of the production process, and cannot effectively optimize production parameters and process flow, affecting product consistency and reliability. Summary of the invention

[0005] In response to the above defects or improvement needs of the prior art, the present invention proposes a multi-dimensional dynamic construction method, device, equipment and medium for the digital twin of an ultra-high-speed optical module production line. For the actual ultra-high-speed optical module production line, the digital twin is constructed from four dimensions: geometric shape, physical equipment, production process behavior and production data. The physical model and the data-driven model are dynamically combined to provide complete functions for actual production from all aspects.

[0006] To achieve the above objectives, according to one aspect of the present invention, a multi-dimensional dynamic construction method of a digital twin of an ultra-high-speed optical module production line is provided, comprising:

[0007] Based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment, a digital twin geometric model corresponding to each part of the production line is constructed;

[0008] Identify nodes of each physical device from data sources or sensors in ultra-high-speed optical module manufacturing units to obtain information, and build a physical model of the device based on comparative analysis of node changes;

[0009] Define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line;

[0010] Collect historical data to build a data model for the production line;

[0011] Integrate the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line to establish a comprehensive static model of the ultra-high-speed optical module production line and form a unified static digital twin;

[0012] Integrate the static digital twin with the enterprise's manufacturing execution system to complete the dynamic reconstruction of the static digital twin and the physical world.

[0013] In some optional implementation schemes, the digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the ultra-high-speed optical module production line and the physical equipment, including:

[0014] According to the planar CAD drawing and physical equipment CAD drawing of the ultra-high-speed optical module production line, the digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the production line and physical equipment. Among them, the digital twin geometric model includes various key areas in the production line to ensure that the physical space model can accurately reflect the layout and structure of the actual production line.

[0015] In some optional implementation schemes, the step of defining the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establishing a virtual process model of the production line includes:

[0016] Define the operation sequence of the equipment, the production process and the semantic description of the processing technology during the operation of the ultra-high-speed optical module production line, and establish a virtual process model of the production line to simulate the operation and relationship of each link in the production line operation process.

[0017] In some optional implementation schemes, the collecting of historical data to construct a data model of the production line includes:

[0018] Collect and analyze past production data, including production records, equipment maintenance records, and fault records, and build a data model of the production line. The data model not only includes a description of the current status of the production line, but also identifies cyclical changes and potential risk factors through trend analysis of historical data.

[0019] In some optional implementation schemes, the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line are integrated to establish a comprehensive static model of the ultra-high-speed optical module production line to form a unified static digital twin, including:

[0020] Construct a data model based on data node flow as a carrier of digital twin geometric model, physical model of equipment, virtual process model and data model of production line;

[0021] According to the data model based on data node flow combined with the multi-source information fusion theory, a three-level data fusion mode is established according to the general physical information fusion framework and the multi-dimensional digital twin model. From the three-layer fusion architecture of metadata fusion, feature-level fusion to decision-level fusion, a comprehensive static model of the ultra-high-speed optical module production line is obtained to form a unified static digital twin.

[0022] In some optional implementation schemes, the three-layer fusion architecture from metadata fusion, feature-level fusion to decision-level fusion obtains a comprehensive static model of the ultra-high-speed optical module production line to form a unified static digital twin, including:

[0023] Metadata fusion requires de-redundancy processing of dynamic data of each data node, building an event matching mechanism in combination with the process-level state model, and determining the event interval that falls into the threshold range of the fused data to complete the fusion of metadata.

[0024] Feature-level fusion is formed on the basis of metadata fusion. The model state set of the production line is taken as the base point and regarded as a spatial object. The metadata fusion in the production line area forms a fusion data set containing spatial information.

[0025] Based on feature-level fusion, decision-level fusion combines the process characteristics of the production line to realize data integration of the digital twin, so that the data model can predict and control the behavior of the production line according to the production plan and dynamic task effects.

[0026] In some optional embodiments, the method further comprises:

[0027] By using visualization tools to display the digital twin geometric model, the physical model of the equipment, the virtual process model, the data model of the production line and the data corresponding to each model, the operating status of the production line, the health status of the equipment and the production efficiency can be presented.

[0028] According to another aspect of the present invention, a multi-dimensional dynamic construction device for a digital twin of an ultra-high-speed optical module production line is provided, comprising:

[0029] The geometric model building module is used to build the digital twin geometric model corresponding to each part of the production line based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment;

[0030] A physical model building module is used to identify nodes of each physical device from data sources or sensors of the ultra-high-speed optical module manufacturing unit to obtain information, and build a physical model of the device based on comparative analysis of node changes;

[0031] The virtual process model building module is used to define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line;

[0032] Data model building module, used to collect historical data to build a data model for the production line;

[0033] The fusion module is used to integrate the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line to establish a comprehensive static model of the ultra-high-speed optical module production line and form a unified static digital twin;

[0034] The integration module is used to integrate the static digital twin with the enterprise's manufacturing execution system to complete the dynamic reconstruction of the static digital twin and the physical world.

[0035] According to another aspect of the present invention, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0036] According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the above methods are implemented.

[0037] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0038] The present invention provides a comprehensive, real-time and intelligent production management platform. First, the present invention can significantly improve production efficiency. Through the construction of digital twins, the optical module production line can achieve all-round real-time monitoring and optimization management. Virtual process models and real-time data analysis can quickly identify bottlenecks and inefficient links in production, optimize production process flow, and thus improve production efficiency and capacity. This optimization makes the production line more efficient in actual operation. Secondly, the present invention can reduce the failure rate of equipment. By establishing a geometric model and a data model of the equipment, the operating status and health status of the equipment can be monitored in real time. Combined with historical data and machine learning algorithms, the maintenance needs and potential failure points of the equipment can be predicted, and preventive maintenance and overhaul can be carried out in a timely manner. This method not only reduces the failure rate and unplanned downtime of the equipment, but also extends the service life of the equipment. At the same time, the present invention can optimize resource allocation and utilization. Through the dynamic monitoring and analysis of the production line by digital twins, enterprises can better understand the use of production resources, optimize resource allocation, improve resource utilization, reduce waste, and reduce production costs, thereby improving the economic benefits and market competitiveness of enterprises. Finally, the present invention also provides a visual production management platform. By displaying the operating status, equipment health status, production efficiency and other information of the production line through visualization tools, managers can intuitively grasp the overall status and detailed changes of the production line. This improves the transparency and visualization level of production management, and helps improve the efficiency and accuracy of management decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is an overall architecture diagram of a digital twin model of an ultra-high-speed optical module production line provided by an embodiment of the present invention;

[0040] Figure 2 It is a rendering of a digital twin geometric model of an ultra-high block production line provided by an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of semantic description of production behavior of an ultra-high-speed optical module production line provided by an embodiment of the present invention;

[0042] Figure 4 This is a data model framework diagram of an ultra-high-speed optical module production line provided by an embodiment of the present invention;

[0043] Figure 5 This is a multi-level data fusion framework diagram of a digital twin model of an ultra-high-speed optical module production line provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions 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 intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0045] like Figure 1 As shown, a multi-dimensional dynamic construction method of a digital twin of an ultra-high-speed optical module production line provided by an embodiment of the present invention includes the following steps:

[0046] Step S1: According to the plane CAD drawing of the ultra-high-speed optical module production line, the physical equipment CAD drawing, etc., a digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the production line and the physical equipment;

[0047] Step S2: Identify nodes of each physical device from the data source or sensor of the ultra-high-speed optical module manufacturing unit to obtain information, and build a physical model of the device based on comparative analysis of node changes;

[0048] Step S3: define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line;

[0049] Step S4: Collect past production data, equipment maintenance records, fault records, etc. to build a data model for the production line; record trends and periodic changes in historical data to help predict future production needs, equipment maintenance needs, etc.;

[0050] Step S5: Integrate the four-dimensional models to establish a comprehensive static model of the ultra-high-speed optical module production line to form a unified static digital twin, such as Figure 2 As shown;

[0051] Step S6: Integrate the static digital twin with the enterprise’s manufacturing execution system (MES) to achieve real-time sharing of data and information and complete the dynamic reconstruction of the static digital twin and the physical world;

[0052] Step S7: Display the data and models of the four dimensions through visualization tools to achieve comprehensive monitoring of the production line, improve production efficiency, equipment reliability, etc.

[0053] Furthermore, according to the plane CAD drawings of the ultra-high-speed optical module production line, the physical equipment CAD drawings and other relevant design data, the digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the production line and the physical equipment. The model should include various key areas in the production line, such as the equipment installation area, the raw material entry and exit area, the finished product storage area, etc., to ensure that the physical space model can accurately reflect the layout and structure of the actual production line. Furthermore, the three-dimensional geometric model of the physical equipment is placed in the corresponding production area. The geometric model should include information such as the shape, size, and relative position of the equipment to achieve three-dimensional visualization of the geometric layout of the production line. The establishment of the geometric model is the basis for subsequent steps, ensuring that the digital twin can correspond one-to-one with the actual production line, thereby providing a basis for more accurate simulation and control.

[0054] Furthermore, on the basis of completing the geometric model, the nodes of each physical device are identified from the data source or sensor of the ultra-high-speed optical module manufacturing unit to obtain information, and the physical model of the device is constructed based on the comparative analysis of node changes. Furthermore, the physical model includes, but is not limited to, key physical quantities of the physical device such as process information, physical information, and number attributes.

[0055] Furthermore, if Figure 3 As shown in the figure, after the physical model is built, it is necessary to make a detailed semantic description of the operation behavior of the ultra-high-speed optical module production line. These behaviors include the operation sequence of the equipment, production process, processing technology, etc. Through the semantic description of these behaviors, a virtual process model of the production line is established. This model aims to simulate the operation and relationship of each link in the production line operation process, and provide a basis for subsequent production management and optimization.

[0056] Furthermore, if Figure 4 As shown in the figure, past production data, including production records, equipment maintenance records, fault records, etc., are collected and analyzed to build a data model of the production line. The data model not only includes a description of the current status of the production line, but also needs to identify periodic changes and potential risk factors through trend analysis of historical data. These data provide data support for predicting future production needs, equipment maintenance needs, etc., making production management more intelligent and forward-looking.

[0057] Furthermore, based on the aforementioned four dimensions, namely the geometric model, physical model, virtual process model and data model, a static model of the ultra-high-speed optical module production line is comprehensively established. In the actual modeling process, the physical, behavioral and data models are presented in the virtual space in the form of data or information (the geometric model is essentially also data and information, but has three-dimensional visual attributes and is classified separately here). Therefore, after the basic geometric model is constructed, a data model based on the data node flow is constructed as a carrier of the physical, behavioral and rule models. Specifically, we will consider adopting the multi-source information fusion theory, and establish a three-level data fusion mode based on the general physical information fusion framework and the multi-dimensional digital twin model, such as the three-layer fusion architecture from metadata fusion, feature-level fusion to decision-level fusion. Figure 5 As shown in the figure. Metadata fusion first needs to perform redundancy processing on the dynamic data of each data node, remove the noise in the original data, and reduce the congestion of the transmission channel; the data in the data node covers the static attribute data and real-time status data of the process. The static attribute data is the prerequisite for real-time status data processing. The event matching mechanism is constructed in combination with the process-level state model. The event interval is determined by the threshold range of the fusion data to complete the fusion of metadata. Feature-level fusion is formed on the basis of metadata fusion. The model state set of the production line is taken as the base point and regarded as a spatial object. The metadata fusion in the production line area forms a fusion data set containing spatial information. Decision-level fusion is based on it and combines the process characteristics of the production line to realize the data integration of the digital twin, so that the data model can predict and control the behavior of the production line according to the production plan and dynamic task effects. The model covers all aspects of the production line from physical structure to production behavior to data analysis, forming a unified static digital twin. The establishment of a static model not only realizes a comprehensive description of the production line, but also provides a basis for subsequent dynamic fusion and real-time monitoring.

[0058] Furthermore, the static digital twin that has been established is integrated with the company's existing systems such as the manufacturing execution system (MES) to ensure real-time sharing of data and information. Through dynamic integration with the physical world, the digital twin can reflect the actual operating status of the production line in real time and respond quickly to abnormal situations. The completion of this step marks the dynamicization of the static digital twin, making the digital twin not only a virtual mapping of the production line, but also an important tool for production management.

[0059] Furthermore, by using visualization tools, the data and models of the four dimensions are fully displayed, and the operating status of the production line, the health of the equipment, the production efficiency and other information are intuitively presented to the management personnel. The visualization tool can provide real-time monitoring functions, and through data analysis and graphic display, it can help managers quickly identify problems, optimize production processes, and improve production efficiency and equipment reliability. The implementation of this step has greatly improved the intelligence and transparency of production line management.

[0060] The present invention also provides a multi-dimensional dynamic construction device for a digital twin of an ultra-high-speed optical module production line, comprising:

[0061] The geometric model building module is used to build the digital twin geometric model corresponding to each part of the production line based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment;

[0062] A physical model building module is used to identify nodes of each physical device from data sources or sensors of the ultra-high-speed optical module manufacturing unit to obtain information, and build a physical model of the device based on comparative analysis of node changes;

[0063] The virtual process model building module is used to define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line;

[0064] Data model building module, used to collect historical data to build a data model for the production line;

[0065] The fusion module is used to integrate the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line to establish a comprehensive static model of the ultra-high-speed optical module production line and form a unified static digital twin;

[0066] The integration module is used to integrate the static digital twin with the enterprise's manufacturing execution system to complete the dynamic reconstruction of the static digital twin and the physical world.

[0067] The specific implementation of each module can refer to the description of the above method embodiment, and the embodiment of the present invention will not be repeated.

[0068] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0069] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0070] It should be pointed out that, according to the needs of implementation, the various steps / components described in this application can be split into more steps / components, and two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0071] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-dimensional dynamic construction method of a digital twin of an ultra-high-speed optical module production line, characterized in that: include: Based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment, a digital twin geometric model corresponding to each part of the production line is constructed; Identify nodes of each physical device from data sources or sensors in ultra-high-speed optical module manufacturing units to obtain information, and build a physical model of the device based on comparative analysis of node changes; Define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line; Collect historical data to build a data model for the production line; Integrate the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line to establish a comprehensive static model of the ultra-high-speed optical module production line and form a unified static digital twin; Integrate the static digital twin with the enterprise's manufacturing execution system to complete the dynamic reconstruction of the static digital twin and the physical world.

2. The method according to claim 1, characterized in that The digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment, including: According to the planar CAD drawing and physical equipment CAD drawing of the ultra-high-speed optical module production line, the digital twin geometric model corresponding to each part of the main body of the production line is constructed based on the three-dimensional structure of the production line and physical equipment. Among them, the digital twin geometric model includes various key areas in the production line to ensure that the physical space model can accurately reflect the layout and structure of the actual production line.

3. The method according to claim 1, characterized in that The definition of the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and the establishment of a virtual process model of the production line include: Define the operation sequence of the equipment, the production process and the semantic description of the processing technology during the operation of the ultra-high-speed optical module production line, and establish a virtual process model of the production line to simulate the operation and relationship of each link in the production line operation process.

4. The method according to claim 1, characterized in that: The process of collecting historical data to construct a data model of the production line includes: Collect and analyze past production data, including production records, equipment maintenance records, and fault records, and build a data model of the production line. The data model not only includes a description of the current status of the production line, but also identifies cyclical changes and potential risk factors through trend analysis of historical data.

5. The method according to any one of claims 1 to 4, characterized in that: The digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line are integrated to establish a comprehensive static model of the ultra-high-speed optical module production line, forming a unified static digital twin, including: Construct a data model based on data node flow as a carrier of digital twin geometric model, physical model of equipment, virtual process model and data model of production line; According to the data model based on data node flow combined with the multi-source information fusion theory, a three-level data fusion mode is established according to the general physical information fusion framework and the multi-dimensional digital twin model. From the three-layer fusion architecture of metadata fusion, feature-level fusion to decision-level fusion, a comprehensive static model of the ultra-high-speed optical module production line is obtained to form a unified static digital twin.

6. The method according to claim 5, characterized in that The three-layer fusion architecture from metadata fusion, feature-level fusion to decision-level fusion obtains a comprehensive static model of the ultra-high-speed optical module production line, forming a unified static digital twin, including: Metadata fusion requires de-redundancy processing of dynamic data of each data node, building an event matching mechanism in combination with the process-level state model, and determining the event interval that falls into the threshold range of the fused data to complete the fusion of metadata. Feature-level fusion is formed on the basis of metadata fusion. The model state set of the production line is taken as the base point and regarded as a spatial object. The metadata fusion in the production line area forms a fusion data set containing spatial information. Based on feature-level fusion, decision-level fusion combines the process characteristics of the production line to realize data integration of the digital twin, so that the data model can predict and control the behavior of the production line according to the production plan and dynamic task effects.

7. The method according to claim 6, characterized in that The method further comprises: By using visualization tools to display the digital twin geometric model, the physical model of the equipment, the virtual process model, the data model of the production line and the data corresponding to each model, the operating status of the production line, the health status of the equipment and the production efficiency can be presented.

8. A multi-dimensional dynamic construction device for a digital twin of an ultra-high-speed optical module production line, characterized in that: include: The geometric model building module is used to build the digital twin geometric model corresponding to each part of the production line based on the three-dimensional structure of the ultra-high-speed optical module production line and physical equipment; A physical model building module is used to identify nodes of each physical device from data sources or sensors of the ultra-high-speed optical module manufacturing unit to obtain information, and build a physical model of the device based on comparative analysis of node changes; The virtual process model building module is used to define the semantic description of each behavior during the operation of the ultra-high-speed optical module production line and establish a virtual process model of the production line; Data model building module, used to collect historical data to build a data model for the production line; The fusion module is used to integrate the digital twin geometric model, the physical model of the equipment, the virtual process model and the data model of the production line to establish a comprehensive static model of the ultra-high-speed optical module production line and form a unified static digital twin; The integration module is used to integrate the static digital twin with the enterprise's manufacturing execution system to complete the dynamic reconstruction of the static digital twin and the physical world.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

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