Application of Intelligent Internet of Things Tourism System in Tourism Attractiveness Evaluation and Application Effect Analysis

In order to improve the application effect of intelligent Internet of Things tourism system in tourism attractiveness evaluation, this paper scientifically calculates the regional tourism attractiveness relationship matrix based on multi-source heterogeneous theory. Moreover, this paper comprehensively uses spatial analysis, social network theory, complex theory and other theoretical methods to comprehensively deconstruct the evolution characteristics of regional tourism attraction network structure, and reveals the changing law of tourism attraction and tourist flow tendency in multidimensional scale. In addition, this paper proposes a tourist comment mining method combined with Internet of Things tourism system, and establishes a data source platform for collecting data. Finally, this paper analyzes and processes the collected data, and then establishes a data warehouse, and uses the analyzed and processed data in practice to analyze the spatial and temporal distribution of tourism attraction, which provides a reference for the subsequent improvement of tourist destination.