At present, the full development of tourism and other tertiary industries has gradually become the economic driving force of the countryside, but the negative impact on the countryside environment is becoming more and more prominent. Therefore, achieving the synergy optimization of rural green ecology and the tourism industry is a problem that needs to be solved. In this paper, starting from the rural green ecological tourism information, through the analysis of the basic elements of tourism information and the sampling of tourism information data, we construct a data feature extraction sampling model based on distributed detection, which is used for the reconstruction of the collection of tourism information data to ensure the effectiveness of information processing. Utilizing the method of fuzzy clustering, mining tourism information data, establishing the data distribution function, and collecting tourism information data features. The model is applied in practice to predict the level of tourist consumption and the daily flow of tourists in tourist attractions, and the results show that the monthly consumption of tourists in the year of the study area is 44.08 yuan less than that of the previous year, so it is necessary to adjust the tourism policy to stimulate consumption. In the coupling coordination degree of informationization and tourism industry development, it is found that the index of informationization application level has a faster rate of improvement than other indexes, with an increase of 546.09% between 2017-2018, and the index data of industrial benefits basically achieve an annual increment, reaching 0.4215 in 2021.