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KR-20260064203-A - METHOD FOR DATA LIGHTER PROCESSING AND EFFECTIVE VISUALIZATION IN 3D DIGITAL TWIN OF NUCLEAR FACILITY, AND ELECTRONIC DEVICE USING THE SAME

KR20260064203AKR 20260064203 AKR20260064203 AKR 20260064203AKR-20260064203-A

Abstract

According to an embodiment of the present disclosure, a data lightweighting and efficient visualization method for effectively providing a 3D digital twin for a nuclear reactor facility (specifically, nuclear facilities and radiation-related facilities) may include the operation of receiving a 2D local map for at least a part of the nuclear reactor facility; the operation of identifying at least one object data for the nuclear reactor facility on a 3D global map corresponding to the 2D local map; the operation of performing optimization on the at least one object data; the operation of mapping the at least one object data onto the 3D global map based on the optimization result; and the operation of providing a 3D digital twin for the nuclear reactor facility based on the mapping result.

Inventors

  • 양인수
  • 최강배
  • 배진형
  • 전빈

Assignees

  • 한국전력기술 주식회사
  • 주식회사 라이크코퍼레이션

Dates

Publication Date
20260507
Application Date
20241031

Claims (10)

  1. In a method for effectively providing a 3D digital twin of a nuclear reactor facility, Operation of receiving a 3D local map of at least part of a reactor facility; An operation to verify at least one object data for the reactor facility on a 3D global map corresponding to the above 3D local map; An operation to perform optimization on at least one object data; An operation of mapping at least one object data onto the 3D global map based on the above optimization result; and A method for providing a 3D digital twin, comprising the operation of providing a 3D digital twin of the reactor facility based on the mapping results above.
  2. In paragraph 1, The operation of receiving the above 3D local map is, A method for providing a 3D digital twin, comprising the operation of receiving CAD data for at least a part of the reactor facility from a database.
  3. In paragraph 2, The operation of verifying at least one object data above is, An operation to determine the importance of at least one object; and A method for providing a 3D digital twin, comprising an operation to lighten at least one object data based on the above-mentioned importance determination result.
  4. In paragraph 3, An operation to check a preset threshold value for determining the importance from the above database; and The operation of determining the at least one object as the first object based on whether the importance of the at least one object exceeds the preset threshold value is further included. The first object is characterized by having an importance that exceeds the preset threshold value, and A method for providing a 3D digital twin, characterized in that a second object is deleted because it has an importance level below the preset threshold.
  5. In paragraph 1, The operation of performing the above optimization is, An operation to check the Level of Detail (LoD) of at least one of the above objects; An operation of comparing the above LoD with a preset reference resolution; and A method for providing a 3D digital twin, comprising the operation of adjusting the LoD for at least one object on the 3D global map based on the above comparison results.
  6. In paragraph 5, The operation of adjusting the LoD for the above-mentioned at least one object is, An operation to check location data for a worker on the above 3D global map; and A method for providing a 3D digital twin, comprising an operation to adaptively adjust the number of polygons for at least one object based on position data for the above-mentioned worker.
  7. In paragraph 1, The operation of providing the above 3D digital twin is, An operation to verify radiation exposure dose data corresponding to the 3D global map from the database; and A method for providing a 3D digital twin, comprising an operation to update the 3D digital twin based on a change in the radiation exposure data.
  8. In Paragraph 7, The operation of updating the above 3D digital twin is, A method for providing a 3D digital twin, comprising the operation of updating the 3D digital twin when the amount of change in the radiation exposure data exceeds a preset threshold range.
  9. In paragraph 8, The operation of updating the above 3D digital twin is, It includes an operation to update the 3D digital twin based on location data for the worker on the 3D global map, and A method for providing a 3D digital twin, characterized in that the above-mentioned preset threshold range is adaptively applied based on the above-mentioned position data.
  10. In an electronic device that provides a 3D digital twin of a nuclear reactor facility through an artificial intelligence learning model, Memory; Communications department; and It includes at least one processor electrically connected to the memory and the communication unit, and The above-mentioned at least one processor is, Receive a 3D local map of at least part of the reactor facility, and Identify at least one object data for the reactor facility on a 3D global map corresponding to the above 3D local map, and Optimization is performed on the above at least one object data, and Based on the above optimization results, at least one object data is mapped onto the 3D global map, and A 3D digital twin providing electronic device configured to provide a 3D digital twin of the reactor facility based on the above mapping results.

Description

Method for Data Lighter Processing and Effective Visualization in a 3D Digital Twin of Nuclear Facility and Electronic Device Using the Same The embodiments of the present disclosure relate to a data lightweighting and efficient visualization method for effectively implementing a 3D digital twin of a nuclear reactor facility (specifically, nuclear facilities and radiation-related facilities) and an electronic device using the same. More specifically, the invention relates to a system that optimizes data transmission speed and enhances visualization by adaptively adjusting the resolution of objects within a nuclear reactor facility to lightweight the data. Digital twin technology may be necessary to transmit and receive radiation dose data in real time to display radiation exposure levels at nuclear reactor facilities. A digital twin is a technology that creates a virtual environment identical to a physical reactor to monitor and simulate radiation levels; by collecting real-time data from various sensors within the reactor, it enables the prediction and response to radiation exposure risks. Through this, managers of nuclear reactor facilities can immediately identify changes in radiation levels, ensure the safety of radiation workers, and establish efficient operational plans. However, transmitting radiation data in real time from a digital twin requires handling a massive amount of data, which leads to a significant increase in communication costs and network load. Therefore, data lightweighting may be essential to optimize system performance and communication speed. Data lightweighting can efficiently transmit necessary information, reduce communication costs, and increase response speed by reducing the complexity of 3D models or optimizing transmission cycles. Through this, there may be a need for a method to support efficient operation while maintaining system stability, even while monitoring radiation data from reactor facilities in real time. FIG. 1 is a structural diagram schematically illustrating a 3D digital twin providing system according to an exemplary embodiment of the present disclosure. FIG. 2 is a flowchart schematically illustrating a method for efficiently providing a 3D digital twin according to an exemplary embodiment of the present disclosure. FIG. 3 is a flowchart schematically illustrating an object data classification process according to an exemplary embodiment of the present disclosure. FIG. 4 is an exemplary diagram relating to an object data classification process according to an exemplary embodiment of the present disclosure. FIG. 5 is a flowchart schematically illustrating an object data optimization process according to an exemplary embodiment of the present disclosure. FIG. 6 is an exemplary diagram relating to an object data optimization process according to an exemplary embodiment of the present disclosure. FIG. 7 is a flowchart schematically illustrating a 3D digital twin data update process according to an exemplary embodiment of the present disclosure. The present disclosure is capable of various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. The effects and features of the present disclosure and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various forms. In the following embodiments, terms such as first, second, etc. are used not in a limiting sense, but for the purpose of distinguishing one component from another component. In the following examples, singular expressions include plural expressions unless the context clearly indicates otherwise. In the following embodiments, terms such as "include" or "have" mean that the features or components described in the specification are present, and do not preclude the possibility that one or more other features or components may be added. In the following embodiments, when a part such as a layer, region, or component is described as being on or above another part, it includes not only cases where it is directly on top of another part, but also cases where another region, component, etc. is interposed in between. In the drawings, the size of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are depicted arbitrarily for convenience of explanation, and therefore the present disclosure is not necessarily limited to what is depicted. Where an embodiment can be implemented differently, a specific sequence of operations may be performed differently from the order described. For example, two steps described consecutively may be performed substantially simultaneously or proceed in the reverse order of the description. In this specificatio