关键词: 大数据, 数据分析模型, 云平台, 机器学习算法

Abstract: At present, the cloud service platform for safety monitoring of small and medium-sized reservoirs in Xinjiang has been built, and the monitoring data from various regions have been collected to the cloud platform, which has gradually resulted in a large amount of safety monitoring data and has the basic characteristics of big data. With the rapid development of the Internet of Things, artificial intelligence, machine learning algorithms and other technologies, smart reservoirs have gradually become the development goal under the current situation. This paper mainly introduces how the data analysis model based on big data theory is applied to the safety monitoring platform of small and medium-sized reservoirs in Xinjiang, and the results show that the data analysis model based on big data theory has a good application result, which verifies the usability of big data theory in safety monitoring and the reliability of big data analysis model, as well as provides reference for monitoring data analysis of small and medium-sized reservoirs.

Key words: big data, data analysis models, cloud platform, machine learning algorithms