Scalable digital twin service system and method
The present invention provides a scalable digital twin system structure and a scalable digital twin service method that are capable of, based on a digital twin, performing real-time control of the real world while providing information required for the user to determine the optimal countermeasure in solve real-world problems in stages, thereby helping rapidly solve problems of the real-world. In order to preemptively respond to the real-world problems by providing decision support information with improved reliability according to a timeline based on a digital twin of a scalable structure, the operation of the digital twin is divided into several stages according to complexity and a result of each stage is transferred to an application service and the next stage, so that as the stage becomes higher, a more reliable result can be provided.
1 . A scalable digital twin service system, which is a digital twin service for providing decision support information to an application service based on a digital twin, the scalable digital twin service system comprising:
a processor; a memory storing instructions that, when executed by the processor, cause the processor to implement:
a virtual world implementation unit configured to implement a virtual world using spatial information and sensor data acquired from a real world;
a stepwise data analysis unit configured to analyze data acquired from the implemented virtual world; and
a stepwise decision support information derivation unit configured to derive decision support information from the data analyzed by the stepwise data analysis unit,
wherein the virtual world and the data acquired from the virtual world are transferred to the application service and the stepwise data analysis unit,
a result of the analysis in the stepwise data analysis unit is transferred to the application service and the stepwise decision support information derivation unit, and
the decision support information derived from the stepwise decision support information derivation unit is transferred to the application service.
2 . The scalable digital twin service system of claim 1 , wherein the memory further stores instructions that, when executed by the processor, cause the processor to implement a data pre-processing unit configured to pre-process data acquired from the virtual world implementation unit.
3 . The scalable digital twin service system of claim 1 , wherein each of the stepwise data analysis unit and the stepwise decision support information derivation unit is configured to perform:
first stage real-time controlling;
second stage relationship analysis on sensor data; and
third stage causality analysis, including data analysis for modeling and simulation, on spread of an event.
4 . The scalable digital twin service system of claim 1 , wherein the stepwise data analysis unit includes a threshold comparison module of a first stage, a relationship analysis module of a second stage, and a causality analysis module of a third stage,
wherein the threshold comparison module is configured to compare data acquired from the virtual world implementation unit with a preset threshold, and when the data exceeds the preset threshold, transfer the data to the application service, the relationship analysis module, and the stepwise decision support information derivation unit,
the relationship analysis module is configured to analyze a relationship of data using data received from the virtual world implementation unit and a result of analysis of the threshold comparison performed by the threshold comparison module, and transfer a result of the analysis of the relationship of data to the application service and the stepwise decision support information derivation unit, and
the causality analysis module is configured to analyze a result of causality analysis in addition to a result of the relationship analysis of the relationship analysis module, and transfer a result of the analysis to the application service and the stepwise decision support information derivation unit.
5 . The scalable digital twin service system of claim 1 , wherein the stepwise decision support information derivation unit includes a static decision support information derivation module of a first stage, a relationship-based decision support information derivation module of a second stage, and a simulation-based decision support information derivation module of a third stage,
wherein the static decision support information derivation module is configured to derive static decision support information from received data and transfer the static decision support information to the application service and the relationship-based decision support information derivation module,
the relationship-based decision support information derivation module is configured to analyze a data relationship received from the stepwise data analysis unit and analyze the static decision support information received from the static decision support information derivation module to derive relationship-based decision support information, and transfer the derived relationship-based decision support information to the application service and the simulation-based decision support information derivation module, and
the simulation-based decision support information derivation module is configured to analyze data causality received from the stepwise data analysis unit and analyze the relationship-based decision support information received from the relationship-based decision support information derivation module to derive simulation-based decision support information, and transfer the simulation-based decision support information to the application service.
6 . The scalable digital twin service system of claim 1 , wherein the memory further stores instructions that, when executed by the processor, cause the processor to implement a stepwise digital twin model generation unit configured to generate a digital twin model using the decision support information derived from the stepwise decision support information derivation unit and transfer the digital twin model to the application service.
7 . The scalable digital twin service system of claim 6 , wherein the stepwise digital twin model generation unit includes a controlling digital twin model generation module of a first stage, a relationship digital twin model generation module of a second stage, and a simulation digital twin model generation module of a third stage,
wherein the controlling digital twin model generation module is configured to generate a controlling digital twin model using static decision support information received from the stepwise decision support information derivation unit and transfer the controlling digital twin model to the application service,
the relationship digital twin model generation module is configured to generate a relationship digital twin model using relationship-based decision support information received from the stepwise decision support information derivation unit and transfer the relationship digital twin model to the application service, and
the simulation digital twin model generation module is configured to generate a simulation digital twin model using simulation-based decision support information received from the stepwise decision support information derivation unit and transfer the simulation digital twin model to the application service.
8 . The scalable digital twin service system of claim 7 , wherein the controlling digital twin model includes sensor data, spatial data, and management data.
9 . The scalable digital twin service system of claim 7 , wherein the relationship digital twin model includes sensor data, spatial data, management data, and dynamic data.
10 . The scalable digital twin service system of claim 7 , wherein the simulation digital twin model includes sensor data, spatial data, management data, dynamic data, and simulation data.
11 . A scalable digital twin service method, which is a digital twin service method for providing decision support information to an application service based on a digital twin, the scalable digital twin service method comprising:
a virtual world implementation operation of integrating spatial information and sensor data acquired from the real world to implement a virtual world;
a data analysis operation of analyzing data acquired from the implemented virtual world; and
a decision support information derivation operation of deriving decision support information from the data analyzed by the data analysis operation,
wherein the data analysis operation includes a threshold comparison sub-operation corresponding to a first stage, a sensor data relationship analysis sub-operation corresponding to a second stage, and a causality analysis sub-operation corresponding to a third stage that performs a causality analysis, including data analysis for modeling and simulation, on event spread, and
the decision support information derivation operation includes a static decision support information derivation sub-operation corresponding to a first stage, a relationship-based decision support information derivation sub-operation corresponding to a second stage, and a simulation-based decision support information derivation sub-operation corresponding to a third stage.
12 . The scalable digital twin service method of claim 11 ,
wherein, in the data analysis operation, the threshold comparison sub-operation includes comparing data acquired from the virtual world implementation operation with a preset threshold, and when the data exceeds the preset threshold, transferring the data to the application service, the relationship analysis sub-operation, and the decision support information derivation operation,
the relationship analysis sub-operation includes analyzing a relationship of data using data received from the virtual world implementation operation and a result of analysis of the threshold comparison performed by the threshold comparison sub-operation, and transferring a result of the analysis of the relationship of data to the application service and the decision support information derivation operation, and
the causality analysis sub-operation includes analyzing a result of causality analysis, including data analysis for modeling and simulation, in addition to a result of the relationship analysis of the relationship analysis sub-operation, and transferring a result of the analysis to the application service and the decision support information derivation operation.
13 . The scalable digital twin service method of claim 11 , wherein, in the decision support information derivation operation,
the static decision support information derivation sub-operation includes deriving static decision support information from received data and transferring the static decision support information to the application service and the relationship-based decision support information derivation sub-operation,
the relationship-based decision support information derivation sub-operation includes analyzing a data relationship received from the data analysis operation and analyzing the static decision support information received from the static decision support information derivation sub-operation to derive relationship-based decision support information, and transferring the derived relationship-based decision support information to the application service and the simulation-based decision support information derivation sub-operation, and
the simulation-based decision support information derivation sub-operation includes analyzing data causality received from the data analysis operation and analyzing the relationship-based decision support information received from the relationship-based decision support information derivation sub-operation to derive simulation-based decision support information and transferring the simulation-based decision support information to the application service.
14 . The scalable digital twin service method of claim 11 , further comprising a digital twin model generation operation of generating a digital twin model using the decision support information derived from the decision support information derivation operation and transferring the digital twin model to the application service.
15 . The scalable digital twin service method of claim 14 , wherein the digital twin model generation operation includes a controlling digital twin model generation sub-operation corresponding to a first stage, a relationship digital twin model generation sub-operation corresponding to a second stage, and a simulation digital twin model generation sub-operation corresponding to a third stage,
wherein the controlling digital twin model generation sub-operation includes generating a controlling digital twin model using static decision support information received from the decision support information derivation operation and transferring the controlling digital twin model to the application service,
the relationship digital twin model generation sub-operation includes generating a relationship digital twin model using relationship-based decision support information received from the decision support information derivation operation and transferring the relationship digital twin model to the application service, and
the simulation digital twin model generation sub-operation includes generating a simulation digital twin model using simulation-based decision support information received from the decision support information derivation operation and transferring the simulation digital twin model to the application service.
16 . The scalable digital twin service method of claim 15 , wherein the controlling digital twin model includes sensor data, spatial data, and management data.
17 . The scalable digital twin service method of claim 15 , wherein the relationship digital twin model includes sensor data, spatial data, management data, and dynamic data.
18 . The scalable digital twin service method of claim 15 , wherein the simulation digital twin model includes sensor data, spatial data, management data, dynamic data, and simulation data.
19 . The scalable digital twin service method of claim 11 , further comprising a data pre-processing operation of pre-processing data collected from the virtual world implementation operation.