New smart tourism engine: Internet of Things, big data, AI and 5G technology jointly build a future tourism ecosystem

Driven by the wave of digitalization, smart tourism is reshaping the traditional tourism industry at a remarkable speed. Various high-tech means have emerged like mushrooms after a rain. Among them, technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and 5G play a key role, bringing tourists a more convenient, personalized and immersive travel experience.

The Internet of Things technology provides unprecedented intelligent means for scenic spot management with its powerful perception and monitoring capabilities. For example, in the Wulingyuan Scenic Area in Hunan, the deployment of underground sensor systems can monitor soil moisture, temperature and potential erosion risks in real time. This precise monitoring can not only effectively protect precious natural resources, but also provide a scientific basis for the sustainable development of scenic spots. Compared with traditional inspection methods, Internet of Things technology greatly improves monitoring efficiency and accuracy and reduces labor costs.

New smart tourism engine: Internet of Things, big data, AI and 5G technology jointly build a future tourism ecosystem

The application of big data technology in the field of smart tourism should not be underestimated. Through in-depth exploration and analysis of tourists’ search records, booking data, consumption behavior and other information on the tourism platform, tourism companies can more accurately understand tourists’ preferences and needs. This not only helps to achieve precise marketing and improve marketing effectiveness, but also provides tourist flow forecasts for scenic spots, helps managers formulate response plans in advance, optimize resource allocation, effectively alleviate congestion, and improve tourists’ visiting experience. It should be pointed out that while enjoying the convenience brought by big data, how to protect tourists’ privacy data has also become an important topic.

The integration of artificial intelligence technology has further improved the intelligence and personalization of smart tourism. For example, in the Spanish village of Alpujarra, AI technology is used to predict tourist flow and intelligently plan tour routes to avoid congestion among tourists in the same area. In addition, the application of technologies such as intelligent guide systems, customer service robots, and image recognition has greatly improved the efficiency and convenience of tourism services. These applications not only optimize tourists’ travel experience, but also reduce the labor costs of scenic spots and improve service quality. It can be foreseen that with the continuous development of AI technology, its application in the field of smart tourism will become more extensive and in-depth.

The rapid development of 5G communication technology has brought revolutionary changes to smart tourism. Its high-speed and low-latency characteristics allow immersive experiences such as virtual reality (VR) and augmented reality (AR) to run smoothly, bringing tourists a more realistic and interactive tour experience. The “Flying Along the River During the Qingming Festival” project is a typical example. It uses 5G technology to allow tourists to experience the prosperous scenes of ancient cities in an immersive way and gain an in-depth understanding of Chinese traditional culture. 5G technology not only improves tourists’ entertainment, but also provides new display and promotion methods for scenic spots.

It is worth noting that the sea computing model has also begun to make its mark in the field of smart tourism. As an emerging computing paradigm, sea computing disperses cloud computing computing tasks to edge devices, thereby reducing the pressure on cloud computing centers and improving the efficiency and real-time nature of data processing. In smart tourism, maritime computing can be applied to real-time monitoring, intelligent analysis and decision-making support. For example, edge computing devices can be used to conduct real-time analysis of tourist flow, environmental data, etc., to provide timely decision-making basis for scenic spot managers. With the continuous maturity of maritime computing technology, its application prospects in the field of smart tourism will be broader, injecting new impetus into the future development of smart tourism.

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