Smart travel big data analysis method

A technology of smart tourism and analysis methods, applied in the field of tourism, can solve problems such as errors and inability to analyze and apply scenic spots, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-09-18
SICHUAN HENGTONG WANGZHI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For some scenic spots that have not yet perfected the information construction, the analysis and application of big data cannot be carried out
At the same time, there will be certain errors in the big data analysis of scenic spots only relying on wifi and camera data

Method used

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  • Smart travel big data analysis method

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Embodiment Construction

[0030] The technical solution of the present invention will be further described in detail below in conjunction with specific examples, but the protection scope of the present invention is not limited to the following description.

[0031] The big data analysis method of smart tourism is analyzed according to the operator's XDR data. Based on the data analysis method provided by the present invention, a big data analysis and application platform for smart scenic spots is established. The home page of the platform is used to display weather, announcements, scenic spot population statistics, and traffic forecast , tourist source distribution, scenic parking lot and other data, as well as a schematic diagram of the distribution of people in the scenic area; the data display can be displayed in the form of histograms, fan graphs, etc., and the distribution of people can be displayed in a heat map.

[0032] Specifically, in order to improve the accuracy of the data, this embodiment ...

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Abstract

The invention relates to a smart travel big data analysis method that builds a smart tour site big data analysis and application platform; the platform home page is used for displaying weather, notification, tour site number statistics, visitor flow rate prediction, tourist source distribution and tour site parking lot data, and tour site human traffic distribution maps; the data display can be realized via column charts and sector graphs; the human traffic distribution can be displayed via a thermodynamic chart; XDR data of a service provider can serve as the analysis data, thus carrying outvisitor flow rate analysis, tourist consumption capability analysis, tourist source analysis, tourist scenic region visiting analysis, tourist scenic region stay time analysis, scenic region ticket business data analysis and tourist sex and age analysis.

Description

technical field [0001] The invention relates to the field of tourism, in particular to a big data analysis method for smart tourism. Background technique [0002] Statistics show that by the end of 2011, there were 20,976 tourist attractions of various types across the country, of which 5,573 were A-level tourist attractions. Tourist scenic spots have become one of the hot spots of residents' tourism consumption, and the income of scenic spots has been increasing. In 2011, the number of tourists received by the national A-level tourist attractions was 2.554 billion, with an average of about 2 visits per person; the operating income reached 265.86 billion yuan, and the proportion of the total tourism income in the country is constantly increasing. In 2011, the scale of tourist reception and comprehensive operating income of national tourist attractions increased by more than 20%, and the growth rate was significantly higher than that of the national star-rated hotels and tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/14
CPCG06Q10/0637G06Q50/14
Inventor 张波苟佳洁王宗杰
Owner SICHUAN HENGTONG WANGZHI TECH CO LTD
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