# Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications
## 5 Digital Twin Platform for Cable Temperature Calculation Based on RF-GPR  
Based on the research of the cable temperature calculation method and artificial intelligence technology, the digital twin frame of cable temperature calculation is further designed, as shown in Figure 9. Referring to the five-dimensional model of digital twin technology in the industrial field, a digital twin cable model (DTCTM) is proposed, which includes five parts: physical entity, digital twin, twin data, virtual-real connection and intelligent application, as shown in Equation (20). \[DTCM=\{P_{\text{CT}},V_{\text{CT}},DT_{Data},VRC,DT\&A\} \tag{20}\]  
where \(P_{\text{CT}}\) indicates the physical entity of the cable, \(V_{\text{CT}}\) represents a digital twin; \(DT_{Data}\) indicates the twin data, and \(VRC\) represents the connection between the virtual and real systems. \(DT\&A\) represents the application provided by the twin system. The digital twin of the cable temperature calculation is the development form of the coexistence of the physical space entity and the digital cable. By accepting the physical parameters and distributed sensing data from the physical cable entity, the digital space establishes a virtual space matching the physical cable entity, synchronously evolves with the physical cable entity, and then reflects the state of the cable model in the real environment in the form of dynamic monitoring, real-time diagnosis and accurate prediction. In this way, the real-time visualization of the full state of the cable model and the intelligent operation and maintenance are promoted to realize the comprehensive and accurate monitoring of the physical cable entity, and the analysis results such as the diagnostic data and predictive data are fed back into the cable's physical entity for the next step of scheduling control. Through the combination of the cable monitoring system and digital twin technology, the formation of the continuous learning and evolution of the intelligent cable situation management system, the reasonable control of the cable load transport and operation safety monitoring occurs, thus promoting the durable and safe operation of the cable system as a whole, opening up a new model of digital smart grid operation and maintenance [31,32]. Constructing the digital twin platform for cable temperature calculation is an important step in the design of the digital twin frame for cable temperature calculation, which should consider the connection between virtual space and the cable entity. This paper builds a data platform based on the RF-GPR cable temperature prediction model and uses digital technologies such as smart sensors and the Internet of things to digitally describe the characteristics, parameters and operating conditions of the cable trench's physical entity, forming a variable database including geometric parameters, electromagnetic parameters and material parameters. In addition, during the operation of the cable system, intelligent perception technology and model analysis technology should also be used to import  
Figure 9: Design of digital twin frame for cable temperature calculation. sensing and simulation related models and operation data into the digital twin space to improve the data platform of the digital twin model for cable temperature calculation. In the optimization of the operation process of the cable entity, the digital twin space carries out virtual-real interaction and information sharing with the cable entity through the connection technology of real-time transmission, uses machine learning prediction technology in the virtual space to conduct simulation analysis and accurate prediction, and then uses the optimization control technology to feedback the analysis results into the cable entity. It supports the safe and stable operation of cable entities, while providing twin system applications such as safety warning, temperature monitoring and fault analysis, and presents the analysis results to users of the digital twin platform.