scholarly journals Optimization of Ice and Snow Sports Industry Chain Structure Based on Sensor Network Communication and Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xingxing Li ◽  
Lulu Song ◽  
Hao Wu ◽  
Yongan Wang

As a new tourism industry model, the ice and snow sports tourism industry has played an increasingly important role in the development of China’s entire tourism industry. This paper analyzes the structural optimization of the ice and snow sports industry chain based on sensor network communication and artificial intelligence and aims to fully apply sensor network communication and artificial intelligence technology to the development of the ice and snow sports industry. Let us look for an optimized method to promote the development of the ice and snow sports industry chain structure. This paper conducts a research on the optimization of the ice and snow sports industry chain structure based on sensor network communication and artificial intelligence. In the method part, this article explains the architecture of sensor nodes and networks, uses the long-term monitoring of wireless sensor networks and the flexibility of the data acquisition structure, combined with the superiority of artificial intelligence in information processing and analysis, to obtain and analyze the experimental data of this research, and introduces the specific content of artificial intelligence and the ice and snow sports industry. In the algorithm, the grey relational analysis method is introduced. In the part of the experimental results, experiments were carried out on the ice and snow city resources, competitive advantages, the quarterly average value of the ice and snow sports enterprise prosperity index, ice and snow sports venues, GDP, and the speed comparison and structure of the development of the sports industry, and simulation experiments were carried out from the perspective of sensors. On the whole, the development curve of China’s ice and snow sports industry basically conforms to the economic development curve. With the slowdown of GDP growth rate, the growth rate of the sports industry slowed down simultaneously. However, despite the continued decline in economic growth, the sports industry has ushered in a peak of development, with a growth rate of 89.45%, a year-on-year increase of 69.3 percentage points. This phenomenon shows that the sports industry has sufficient endogenous development momentum and huge development potential. It is an important driving force and emerging growth point of the economic society and modern services. It has a comprehensive driving role in stimulating urban consumption, promoting economic transformation and upgrading, and driving the development of the service industry.

2021 ◽  
Vol 13 ◽  
pp. 19-24
Author(s):  
Jingran Yang ◽  
Yuyuan Peng ◽  
Hongjin Liang

In recent years, with the emergence of new technologies such as cloud computing, the Internet of Things, big data, and artificial intelligence, the country has deeply promoted the application of science and technology in the cultural and tourism industries, targeting smart cultural tourism, digital cultural industries, online and offline integrated development, and scenic spots. Multiple service scenarios such as smart supervision put forward new requirements. The purpose is to use digital twin technology to build a digital, online, and intelligent cultural tourism industry chain, optimize Guilin tourism service processes, improve service efficiency, and make full use of the city's smart cultural tourism development to promote the improvement of the city's image and promote Guilin The new form of global tourism forms the city's endogenous development capabilities, and provides theoretical and practical guidance for the construction of smart cultural tourism in other cities. By analyzing the current status of smart cultural tourism and application requirements, it discusses the design and construction of Guilin smart cultural tourism service scenarios based on digital twin technology, and how to strengthen the realization of future-oriented smart interactive scenarios in the innovation of service models.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raffaele Filieri ◽  
Elettra D’Amico ◽  
Alessandro Destefanis ◽  
Emilio Paolucci ◽  
Elisabetta Raguseo

Purpose The travel and tourism industry (TTI) could benefit the most from artificial intelligence (AI), which could reshape this industry. This study aims to explore the characteristics of tourism AI start-ups, the AI technological domains financed by Venture Capitalists (VCs), and the phases of the supply chain where the AI domains are in high demand. Design/methodology/approach This study developed a database of the European AI start-ups operating in the TTI from the Crunchbase database (2005–2020). The authors used start-ups as the unit of analysis as they often foster radical change. The authors complemented quantitative and qualitative methods. Findings AI start-ups have been mainly created by male Science, Technology, Engineering and Mathematics graduates between 2015 and 2017. The number of founders and previous study experience in non-start-up companies was positively related to securing a higher amount of funding. European AI start-ups are concentrated in the capital town of major tourism destinations (France, UK and Spain). The AI technological domains that received more funding from VCs were Learning, Communication and Services (i.e. big data, machine learning and natural language processing), indicating a strong interest in AI solutions enabling marketing automation, segmentation and customisation. Furthermore, VC-backed AI solutions focus on the pre-trip and post-trip. Originality/value To the best of the authors’ knowledge, this is the first study focussing on digital entrepreneurship, specifically VC-backed AI start-ups operating in the TTI. The authors apply, for the first time, a mixed-method approach in the study of tourism entrepreneurship.


2020 ◽  
Vol 1 (2) ◽  
pp. 18-20
Author(s):  
Kejin Zou

Abstract. With the rapid development of ice and snow tourism industry in Jilin Province, a new economic growth point has been formed. However, the development of ice and snow cultural tourism derivatives is still in its infancy, lacking of creative expansion in breadth and historical excavation in depth, low technological content of products, lacking of added value, single marketing method, and no industrial chain structure. It is an important way to break through the convergence of derivative design of ice and snow culture tourism to tap the ice and snow natural culture and folk culture resources, create interesting derivative image design and develop interactive technology.


2021 ◽  
Vol 7 (6) ◽  
pp. 5220-5229
Author(s):  
Liu Feilong

Objectives: The rapid development of the global tourism industry has brought about a boom in the development of the homestay industry, and the development of homestays in China is no exception. With the advent of the era of large accommodation, the country smoke-free homestay industry can not only meet people's basic needs for travel and accommodation, but also a place to experience culture and social consumption, which is an increasing need for people's better life. From the perspective of the business model of homestays, the new types of homestays that incorporate the upstream and downstream industrial chain of homestays are more in line with future development trends. In order to solve the problems of "weak", "scattered" and "small" in the form of the country homestay industry chain, and to continuously optimize the coordinated development of the country homestay industry chain, it is very necessary to adopt the following paths and measures: The first is to strengthen the coordination and integration of country homestay with other industrial chains; the second is to strengthen the agglomeration of the homestay industry and create a branded management road for country homestay; the third is to strengthen government guidance, coordinate the distribution of benefits, and create beautiful country homestay; the fourth is to increase policy support Make efforts to promote the flow of homestay talents and achieve high-quality development of the homestay industry.


Author(s):  
Arnaldo Borges Pinheiro ◽  
Agostinho Sousa Pinto ◽  
António Abreu ◽  
Eusébio Costa ◽  
Isabel Borges

Sign in / Sign up

Export Citation Format

Share Document