Regular competitions on a bigger size and level are referred to as sports events. The World Cup, the Olympics, Formula, the NBA, and many intercontinental sports events and World Championships of various individual sporting organizations, among others, are among the world’s largest and most significant sporting events. In China, there are also specific live sporting event websites that broadcast weekly sporting events. The purpose of this paper is to study the integrated development mechanism for the sustainable development of natural ecotourism and sports events. For this reason, this paper proposes research and analysis on its industrial integration method and industrial integration path, and it has an in-depth understanding of the sustainable development model. At the same time, relevant experiments are designed in the experimental part to explore the impact of sports events and natural ecotourism in the development process. The experimental results of this paper show that after the improvement, the attractiveness of tourists has increased by 47.48%, which has effectively promoted the development of the related tourism industry.
With the development of the times, sports are more and more favored by people, and national fitness has become a new trend in the development of the times. In this context, to win the long-term development of sports, it must realize the integration with big data. At present, data acquisition in the sports field mainly relies on manual capture and machine intelligence recognition. However, the data capture capabilities of the two are limited and cannot provide real-time data support for the intelligent sports big data platform. The IOT is an expandable network with intelligent perception capability, which can sense and acquire sports data in time. Based on this, the article proposed a big data platform for national fitness and sports that integrated the IOT technology. It aimed to optimize the sports big data platform from the perspective of the IOT. And finally an intelligent sports big data platform was realized. The article firstly optimized the underlying structure of the sports big data platform. Then, the data acquisition strategy of the big data platform was improved by using the IOT technology, and the intelligent data acquisition was realized at the technical level. Finally, the article also optimized the structure of the intelligent resources of the sports big data platform, and initially built an intelligent sports big data platform. After data inspection and testing, the article found that the intelligent sports big data platform relying on the Internet of Things technology could further reduce the time and space complexity of data processing, and the running time was reduced by 50% year-on-year. This fully shows that the Internet of Things technology can promote the structural optimization of the sports big data platform.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.