IoT Technology Empowers Digital Protection and Inheritance of Traditional Cultural Resources

The preservation and inheritance of traditional cultural resources are pivotal for maintaining the identity, history, and diversity of human civilization. In the modern era, rapid urbanization and digitalization pose challenges to the safeguarding of these invaluable assets. The Internet of Things (IoT) is revolutionizing the management and monitoring of traditional cultural resources, enabling real-time data collection, enhanced interaction, and sustainable management. The aim of the research is to establish that IoT technology empowers the digital protection and inheritance of traditional cultural resources. IoT sensors monitor structural and environmental parameters, such as humidity, temperature, vibrations, and stress levels. The sensing part is composed of structural and environmental sensors, which are deployed in a wireless environment. Raw sensor data are cleaned to remove noise, outliers, and missing values. The Shark Smell Optimized Versatile Deep Neural Network (SSO-VDNN) model is used to build a prediction system, facilitating the preventive conservation of invaluable traditional cultural resources. The Shark Smell Optimized (SSO) technique optimizes the learning process by improving the convergence rate of the Versatile Deep Neural Network (VDNN), ensuring that the model is efficient and accurate in predicting the needs for conservation. The experimental results demonstrate that the SSO-VDNN model is outperforming the prediction system by high accuracy (98.60%), recall (98.81%), [Formula: see text]1-score (97.96%) and precision (98.37%). The research highlights the potential of IoT and Deep Learning (DL) technologies in safeguarding cultural heritage while ensuring its inheritance for future generations.