Application of Digital Twin Combined with Artificial Intelligence and 5G Technology in the Art Design of Digital Museums

More and more museums are being established or restored as people’s cultural levels grow. A digital twin is a computerized representation of the physical object or phenomenon, which acts as its real‐time digital equivalent. Artificial intelligence (AI) is becoming increasingly widespread, and museums and art shows will need to change their old working and thinking processes to fully fulfill their potential. In an increasingly digital world, combining AI technologies and wearable devices into digital museums could assist in boosting involvement. It is necessary to investigate AI’s strategic function and application in affecting tourist experiences at art galleries and museums, as well as its potential to improve education. Also, digital twin (DT) paves the way to alleviate difficulties or might improve access to digital museums via digital experiences. The historical report recommends that digital museum items be represented in a way that poses the fewest threats to its legitimacy. Owing to its uniqueness and vulnerability to substantial environmental dangers, the safeguarding of art and cultural heritage in digital museums is a serious issue. There are many approaches for assessing the state of artistic heritage and protecting it from extreme acts. The current study offers a framework for digitized museum art design based on the utilization of digital twin (DT), artificial intelligence (AI), and fifth‐generation (5G) technologies. Further to enhance the security of the system, we employ the improved blowfish encryption algorithm (IBEA). Also, the authentication is done using the Diffie‐Hellman protocol. The proposed system is simulated using MATLAB, and its performance is analyzed and compared with conventional systems. From the result obtained, it was revealed that the suggested methodology express high range of security level (95%) than the existing mechanisms. This study is very important in two directions: (1) it presents an analytical structure for having to adapt digital information to complicated systems in museums and (2) it explains the artistic obstacles for heritage properties, such as accessibility, execution time, security level, and the efficiency of 3‐dimensional designs.