Design of an digital management system for museum collections based on RFID and improved GIS technology

Abstract

Abstract In recent years, the amalgamation of radio frequency identification (RFID) technology and deep learning has facilitated the convergence of objects and the Internet, thereby enabling seamless identification, management, and control. Collections constitute a pivotal aspect of a museum's operations, and the scientific oversight of collections serves as the foundation for the advancement of other museum endeavors. In order to augment the precision and contemporaneous monitoring of the storage environment for museum collections, alleviate the workload burden on museum personnel, and enhance overall operational efficiency, this study devises an electronic management system for museum collections that integrates RFID technology with geographical information systems. Within our geoinformation technology framework, we have integrated an enhanced LANDMARC algorithm, enabling us to render the collection's whereabouts visually by portraying real-time location information of the accessions on electronic maps specially crafted for the museum. Simultaneously, we employ RFID technology to promptly identify the real-time location of staff members and evaluate their inspection duties. By harnessing the potential of these two technologies, we have succeeded in ameliorating the efficacy of real-time collection management and fostering intelligent collections management when juxtaposed with existing systems. This research endeavors to propel the progressive evolution of RFID technology within the realm of item identification and location.