Big data technology, a powerful tool for data processing and analysis, offers innovative ideas and methods for the dynamic monitoring of the Internet of Things (IoT). This paper introduces a dynamic monitoring method and system for IoT based on big data, which can be widely utilized in various fields such as smart homes, intelligent transportation, industrial production, medical care, and more. For instance, in smart homes, it can promptly identify and address issues with dynamic home appliances by monitoring their operational status and sensor data. In smart transportation, it can identify traffic congestion, accidents and other dynamic situations by monitoring traffic signals, vehicle traffic, and other relevant data, enabling prompt traffic guidance and rescue efforts. These big data-based IoT dynamic monitoring methods and systems offer high accuracy and real-time capabilities, effectively managing IoT devices. As IoT technology continues to develop, the application of big data technology in IoT dynamic monitoring will become increasingly widespread.

Yuqiang Tan, Yanbin Long. A Study of Big Data-based Dynamic Monitoring Methods for the Internet of Things. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 1: 42-51. https://doi.org/10.25236/AJCIS.2024.070107.

[1] Sun Lien. Design and Practice of Data Mining Model for Digital TV Project Management [J]. China Media Technology, 2020: 34-35

[2] Wang Wenbin, Liu Zhusong. Research on data mining model based on neural network [J]. Guangdong Science and Technology, 2019: 456-457

[3] Tang Zhigui. A Data Mining Model for Complex Industrial Processes [J]. Computer Knowledge and Technology, 2018: 45-46

[4] Chen Yunkai, Lu Zhengding, Xiao Shangqin. A Data Mining Model Based on Rough Set Theory and Its Application [J]. Computer Engineering and Science, 2017: 77-78

[5] Mo Liping, Fan Xiaoping. Research on Application of OLAP Data Mining Model [J]. Computer and Information Technology, 2022: 102-103

[6] Yuan Hong. An overview of the application of data mining models in stock market forecasting [J]. China's Collective Economy, 2017: 78-79

[7] Wang Yan. A preference data mining model for multi-level security related attribute calibration [J]. Science and Technology Bulletin, 2015: 34-56

[8] Bu Fanyu, Wang Xin, Zhang Qingchen. Data mining model of Internet of Things based on cloud computing [J]. Computer and Information Technology, 2012: 98-99

[9] Gu Hailan. Design and application of data mining model in the development of retail data warehouse [J]. Hebei Industrial Science and Technology, 2018: 234-236

[10] Yin Yunfei, Zhong Zhi, Zhang Shichao. A data mining model of interval value clustering [J]. Computer and Modernization, 2014: 2-8