Construction method of digital twin system

Abstract

The invention discloses a construction method of a digital twin system. The construction method comprises the following steps: S1, functional architecture; s2, data acquisition; s3, data processing; s4, carrying out simulation modeling; s5, integrating the data and the model; s6, creating an information platform; according to the construction method of the digital twin system applied to the park, the park is subjected to functional architecture design from the park, a light-weight and high-cost-performance scene model is constructed, then existing equipment, production line data and the like are fused into the model, a virtual system is formed, and the digital twin system applied to the park is constructed. According to the design, customers can continuously iterate, update, add and expand new equipment, production lines and the like according to own conditions to realize the functions of the architecture at the beginning of design, the use threshold of the customers is reduced, the cost is relatively low, and the method can be widely popularized and used.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a method for constructing a digital twin system. Background Art

[0002] Industrial parks are crucial vehicles for driving high-quality economic development. With the continuous advancement of smart city construction, smart parks have become a key direction for future urban development. To better manage energy, improve park energy efficiency, and reduce energy consumption, emerging technologies such as digital twins, the Internet of Things, big data, cloud computing, and artificial intelligence are continuously developing and are increasingly being applied to park production line construction. Digital twins leverage data from physical models, sensors, and operational history, integrating multidisciplinary, multi-physical, multi-scale, and multi-probabilistic simulation processes to create a virtual representation of the entire lifecycle of the corresponding physical equipment.

[0003] Existing smart industrial parks are a mixed bag, lacking a unified integrated service platform and limited in terms of intelligence. Traditional production lines and workshops within these parks are often isolated and fragmented, preventing real-time transmission and communication of production information. The lack of effective workshop monitoring often leads to opaque work-in-process management, information gaps between management and execution, and poor real-time control capabilities, becoming a major bottleneck restricting production and processing efficiency.

[0004] An effective solution is to build a park-level digital twin system, create a virtual model of the physical entity in a digital way, simulate, verify and predict the behavior of the physical entity in the real environment with the help of data, and visualize the various data and equipment operating conditions in the park through virtual-reality interactive feedback, data fusion analysis and other means, so that the physical entity and the twin model can obtain each other's dynamic changes in a timely manner and respond in real time. Summary of the Invention

[0005] In order to make up for the shortcomings of the existing technology, the present invention provides a method for constructing a digital twin system, which is used to construct a digital twin system of a park production line.

[0006] The present invention is achieved through the following technical solutions: A method for constructing a digital twin system is characterized by comprising the following steps: S1, functional architecture, constructing a park scene model according to the park design parameters, and performing an architecture analysis on the functions required in the park; S2, data acquisition, selecting sensors and data acquisition equipment, deploying them on existing production lines and physical equipment, and collecting data on production parameters and process parameters; S3, data processing, storing and analyzing the collected data, removing abnormal data, and filling missing values; S4, simulation modeling, integrating existing equipment models and production line models into the park scene model, and using computer modeling tools to manually model equipment, raw materials and products without models, and integrating them into the park scene model; S5, integrating data and models, integrating the collected and processed data with the model to ensure that the data matches the model, and then establishing the logical and association relationships between the equipment model, production line model, raw material model and product model through machine learning and statistical analysis methods to form a virtual system; S6, creating an information platform, creating a user-friendly visual user interface for the digital twin system for accessing the digital twin system; S7, updating and iteration, updating existing models and data, or expanding new functions under the existing functional architecture.

[0007] Further optimized, the digital twin system includes a virtual system, a real system and an information platform, and the real system includes a park, products, equipment and production lines.

[0008] Further optimized, the park design parameters include park area, plant area, equipment quantity, equipment volume, manpower quantity, monitoring location and power and water supply location.

[0009] Further optimized, the collected data includes temperature, humidity, vibration, pressure, position, water pressure and voltage.

[0010] For further optimization, in step 2, for production lines and equipment with data interfaces, facility-related information is obtained through open data interfaces, and for collection targets without data interfaces, sensors and data collection equipment are added to collect data.

[0011] Further optimized, in step 4, a virtual-reality mapping is formed between the physical equipment, production line and virtual system. The virtual system monitors the production and operation status of the physical equipment and production line in real time based on the collected real-time data, and issues real-time warnings on the operation status, thereby realizing supervision of the physical equipment and production line in reality.

[0012] Further optimized, the platform is used to send instructions to physical equipment and production lines, and receive early warning information and simulation results fed back by the virtual system.

[0013] For further optimization, when performing update iteration in step s6, the model and data to be replaced are first added into the virtual system through the information platform, and simulation operation is performed to check the update effect.

[0014] For further optimization, when performing update iteration in step s6, several different devices that can realize the function to be expanded are selected according to the function to be expanded, the models and data of the devices are collected, added into the virtual system, simulated and run, the running results are checked, and appropriate devices are selected according to the running results.

[0015] The beneficial effects of the present invention are: The present invention provides a method for constructing a digital twin system for a park. Starting from the park, the functional architecture of the park is designed to build a lightweight, cost-effective scenario model. Then, existing equipment, production line data, etc. are integrated into the model to form a virtual system. This design facilitates customers to continuously iterate and update according to their own situation, and continuously add and expand new equipment, production lines, etc. to realize the functions constructed at the beginning of the design. This method lowers the customer's usage threshold, has low cost, and can be widely promoted and used.

[0016] The real equipment and production lines in the present invention are embedded with sensors and data acquisition equipment when collecting data, and are seamlessly integrated with the virtual system in the later stage, transmitting data to the virtual system in real time. The virtual system drives the simulation operation in real time and runs synchronously with the real equipment. The real-time operation status is grasped through the information platform, and monitoring and prediction are carried out to respond to emergencies in a timely manner.

[0017] When updating or iterating real equipment or adding real equipment, you can first add the equipment model into the virtual system and run it in simulation. Based on the running results and its cost-effectiveness, you can choose whether to iterate the equipment, or choose which equipment has better production effect when expanding, so as to avoid choosing the wrong equipment, reduce costs and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall framework process structure of the present invention. DETAILED DESCRIPTION

[0019] In order to clearly illustrate the technical features of this solution, the present invention is described in detail below through specific implementation methods and in conjunction with the accompanying drawings, which should not be understood as limiting the present invention.

[0020] like Figure 1 As shown, the present invention provides a method for constructing a digital twin system, which is characterized by comprising the following steps: S1. Functional architecture: Build a park scenario model based on the park design parameters, which include park area, plant area, equipment quantity, equipment volume, number of workers, monitoring location, power and water supply location, etc. Then, perform an architectural analysis of the functions required in the park, including those that can be achieved based on existing equipment and those that are planned to be achieved.

[0021] S2. Data acquisition: Select sensors and data acquisition equipment and deploy them on existing production lines and physical equipment to collect data on their production parameters and process parameters. The collected data includes temperature, humidity, vibration, pressure, position, water pressure, and voltage.

[0022] S3. Data processing: store and analyze the collected data, remove abnormal data, check the causes of abnormal data, and fill in missing values.

[0023] S4. Simulation modeling: Integrate existing equipment models and production line models into the park scene model. In addition, use computer modeling tools to manually model equipment, raw materials, and products that do not have models, and integrate them into the park scene model. S5: Integrate data and models. Integrate the data collected and processed in steps s2 and s3 with the model in s4 to ensure that the data matches the model. Then, through machine learning and statistical analysis methods, establish the logical and associative relationships between the equipment model, production line model, raw material model and product model to form a virtual system.

[0024] S6. Create an information platform to create a user-friendly visual user interface for the digital twin system for accessing the digital twin system. The digital twin system includes a virtual system, a real system, and an information platform. The real system includes the park, products, equipment, and production lines.

[0025] S7. Update and iteration: When updating devices in the real system, existing models and data can be updated synchronously. New devices can also be expanded under the existing functional architecture to realize planned functions.

[0026] The present invention starts with the park, designs the functional architecture of the park, builds a lightweight, cost-effective scenario model, and then integrates existing equipment, production line data, etc. into the model to form a virtual system. This design facilitates customers to continuously iterate and update according to their own situation, and continuously add and expand new equipment, production lines, etc. to realize the functions constructed at the beginning of the design. This method lowers the customer's usage threshold, has low cost, and can be widely promoted and used.

[0027] As a preferred implementation, in step 2, for production lines and equipment with data interfaces, facility-related information is obtained through open data interfaces. For collection targets without data interfaces, sensors and data acquisition equipment are added to collect data. The purpose is to meet the virtual system's real-time control of all real equipment and production lines, so that the virtual system can be driven in real time and run synchronously with the real equipment.

[0028] As a preferred implementation, in step 4, a virtual-to-real mapping is formed between the physical equipment, production line and virtual system. The virtual system monitors the production and operation status of the physical equipment and production line in real time based on the collected real-time data, and issues real-time warnings on the operation status, thereby realizing supervision of the physical equipment and production line in reality and responding to emergencies in a timely manner.

[0029] As a preferred embodiment, users can send instructions to physical equipment and production lines through the platform to control production equipment, and can also receive early warning information and simulation results fed back by the virtual system.

[0030] As a preferred embodiment, when performing update iteration in step s6, the model and data to be replaced are first added into the virtual system through the information platform, and simulation operation is performed to check the update effect, and decide whether to replace it based on the effect.

[0031] As a preferred embodiment, when performing update iteration in step s6, several different devices that can realize the function within the plan to be expanded are selected, the models and data of the devices are collected, added to the virtual system, simulated and run, the running results are checked, and appropriate devices are selected based on the running results.

[0032] Any details not described in detail herein are well known to those skilled in the art. Finally, it should be noted that the above embodiments are intended only to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and such modifications or equivalents should be encompassed by the claims of the present invention.

Claims

1. A method for constructing a digital twin system, characterized in that: The following steps are involved: S1. Functional architecture: Build a park scenario model based on the park design parameters and perform an architectural analysis of the functions required within the park; S2. Data acquisition: Select sensors and data acquisition equipment and deploy them on existing production lines and physical equipment to collect data on production parameters and process parameters; S3, data processing, storage and analysis of collected data, removal of abnormal data, and filling of missing values; S4. Simulation modeling: Integrate existing equipment models and production line models into the park scene model. Use computer modeling tools to manually model equipment, raw materials, and products that do not have models, and integrate them into the park scene model. S5. Integrate data and models. Integrate the collected and processed data with the model to ensure that the data and the model match. Then, through machine learning and statistical analysis methods, establish the logical and associative relationships between the equipment model, production line model, raw material model, and product model to form a virtual system. S6. Create an information platform to create a user-friendly visual user interface for the digital twin system to access the digital twin system; S7. Update and iterate, update existing models and data, or expand new functions under the existing functional architecture.

2. The method for constructing a digital twin system according to claim 1, wherein: The digital twin system includes a virtual system, a real system and an information platform, and the real system includes a park, products, equipment and production lines.

3. The method for constructing a digital twin system according to claim 1, wherein: The park design parameters include park area, plant area, equipment quantity, equipment volume, labor quantity, monitoring location and power and water supply location.

4. The method for constructing a digital twin system according to claim 1, wherein: The collected data includes temperature, humidity, vibration, pressure, position, water pressure and voltage.

5. The method for constructing a digital twin system according to claim 1, wherein: In step 2, for production lines and equipment with data interfaces, facility-related information is obtained through open data interfaces. For collection targets without data interfaces, sensors and data collection equipment are added to collect data.

6. The method for constructing a digital twin system according to claim 1, wherein: In step 4, a virtual-real mapping is formed between the physical equipment, production line and virtual system. The virtual system monitors the production and operation status of the physical equipment and production line in real time based on the collected real-time data, and issues real-time warnings on the operation status, thereby realizing supervision of the physical equipment and production line in reality.

7. The method for constructing a digital twin system according to claim 1, wherein: The platform is used to send instructions to physical equipment and production lines, and receive early warning information and simulation results fed back by the virtual system.

8. The method for constructing a digital twin system according to claim 1, wherein: When performing update iteration in step s6, the model and data to be replaced are first added to the virtual system through the information platform, and simulation operation is performed to check the update effect.

9. The method for constructing a digital twin system according to claim 1, wherein: When performing update iterations in step s6, according to the planned functions that need to be expanded, several different devices that can realize the functions are selected, the models and data of the devices are collected, and they are added to the virtual system for simulation operation to check the operation results, and appropriate devices are selected based on the operation results.

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