After years of development, big data technology has become more mature and reliable in its application in various fields. With the explosive growth of data and the rise of data complexity, the processing and application of data have actually changed our daily life. The development of data in sports is very active in recent years, and the natural dependence of sports on data determines that the visualization of sports has a great creative space in data sports. Therefore, it is necessary to deeply study the visual management of sports under the background of big data technology. As we all know, in sports, competitive games occupy the vast majority, and the data generated by this is not limited to the score of the game. People are paying more and more attention to information related to sports, but these information are generally very complicated and huge. This is also an area with the widest audience, and the core of competitive sports is data. The final results and progress of most sports competitions are reflected through changes and comparisons of data. With the continuous development of big data information collection technology, the available sports data are more detailed, which also makes sports develop toward visualization. Therefore, with the help of the excellent ability of big data in screening data, this article proposes algorithms such as DTW and recurrent neural networks to reasonably and reliably analyze and process a large number of data generated in the process of sports and embeds an error analysis module in the designed model to ensure the accuracy requirements in data processing to a greater extent. The model designed in this article has been able to improve the accuracy by more than 86%. This will greatly facilitate our management and have a far-reaching impact on sports visualization.

<div><p>Tourism industry is one of the industries that promote the development of modern economy. Shangluo rural tourism is also developing slowly. Rural tourism improves the employment rate of farmers and drives the economic development of various places. With the rapid development of information technology in China, tourists travel in a variety of ways, and the needs of tourists are becoming more and more differentiated. Traditional rural tourism is difficult to meet the personalized needs of tourists. In such a social environment, Shangluo rural tourism should develop in the direction of smart tourism, so that we can quickly complete the intelligent development of Shangluo rural tourism and improve the development level of Shangluo rural tourism. Based on the background of the intelligent growth of rural tourism, this paper studies the current situation and problems of the intelligent development of rural tourism in Shangluo. It is concluded that there are still some problems in the intelligent development of Shangluo rural tourism, such as backward infrastructure, single website content, lack of talents related to Shangluo intelligent tourism, backward information technology and poor service quality of scenic spots. We should speed up the construction of Shangluo smart rural tourism and the industrial upgrading of Shangluo rural tourism from the aspects of government departments, tourism management departments, rural tourism communities and other departments.</p></div>