Scenic spot tourist amount prediction system

A forecasting system and tourist technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as the difficulty of passenger flow forecasting and the inability to predict the number of tourists

Inactive Publication Date: 2017-09-08
上海诺悦智能科技有限公司
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Problems solved by technology

[0003] Since tourist passenger flow is a complex and uncertain nonlinear system mainly participated by tourists, it is affected by many factors such as natural climate, holidays and tourism emergencies, and presents different characteristics in different periods, so this It has brought great difficulty to the foreca

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  • Scenic spot tourist amount prediction system

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Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] Such as figure 1 As shown, the embodiment of the present invention proposes a tourist attraction forecasting system 1, including a data acquisition module 101, a data forecasting module 102 and a flow display module 103;

[0021] The data collection module 101 is used for collecting prediction data;

[0022] The data prediction module 102 is provided with a passenger flow prediction model based on LSTM (Long Short-Term Memory, long-short-...

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Abstract

The invention provides a scenic spot tourist amount prediction system comprising a data collection module, a data prediction module and a flow display module, wherein the data collection module is used for collecting predicted data; the data prediction module is provided with a passenger flow prediction model based on LSTM and is used for predicting a scenic spot tourist amount according to the predicted data collected by the data collection module; and the flow display module is used for displaying the scenic spot tourist amount data. The scheme can predict the tourist amounts within different time periods.

Description

technical field [0001] The invention relates to the technical field of data prediction, in particular to a system for predicting the number of tourists in scenic spots. Background technique [0002] In my country, due to the influence of many external factors such as natural climate, national economic conditions, and scenic environment construction, the short-term tourism passenger flow shows complex characteristics such as nonlinearity, seasonality, and randomness. For tourist attractions that are greatly affected by factors such as nature and climate, such as Huangshan, Jiuzhaigou, Huashan and other scenic spots, the increase in tourist flow is not evenly distributed. The imbalance is more pronounced. [0003] Since tourist passenger flow is a complex and uncertain nonlinear system mainly participated by tourists, it is affected by many factors such as natural climate, holidays and tourism emergencies, and presents different characteristics in different periods, so this ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/14
CPCG06Q10/04G06Q50/14
Inventor 王子剑庞子龙陈龙李震川严武曹磊
Owner 上海诺悦智能科技有限公司
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