This paper examines the construction and application of a digital protection and dissemination system for red cultural resources based on the Internet of Things (IoT) and big data technologies. By utilizing high-precision sensors and big data tools, the system enables real-time monitoring and data collection of red cultural resources. Additionally, the random forest model is applied for feature extraction and classification prediction. The research encompasses data acquisition and remote processing, model construction and optimization, IoT architecture design, and application system development. Through system evaluation and user feedback analysis, the effectiveness of the digital protection measures and the communication impact are assessed, demonstrating improvements in both the protection of red cultural resources and user engagement. The optimized IoT architecture and model significantly enhance data accuracy and system stability, offering robust support for the long-term protection and widespread dissemination of red cultural resources. This study offers a scientific approach and practical pathway for the digital transformation of red cultural heritage, serving as a valuable reference in the field of cultural heritage protection.
Bing Xie (Mon,) studied this question.