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Reservation big data-based tourist flow management and control method and cloud service platform

A management and control platform and big data technology, applied in the fields of big data processing and passenger flow management, can solve problems such as small data sample size, late information technology progress, deviation between control results and actual values, etc., to improve control and quality, and optimize users The effect of experience

Active Publication Date: 2022-03-22
南京莫愁智慧信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the continuous progress of society and the continuous improvement of people's living standards, more and more people have stepped into the leisure and entertainment industry of tourism, and the number of tourists has shown a blowout growth. , surrounding traffic, etc. have brought unprecedented challenges. At present, many tourist attractions in China have begun to gradually pay attention to the control of passenger flow. However, due to the late progress in informatization and the small number of recorded data samples, the control of passenger flow is established. In terms of subjective management experience and macro forecasting, there is no clear mathematical model, resulting in a large deviation between the control results and the actual value. Therefore, establishing a systematic and accurate passenger flow control model is of great significance to tourist attractions.

Method used

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  • Reservation big data-based tourist flow management and control method and cloud service platform
  • Reservation big data-based tourist flow management and control method and cloud service platform
  • Reservation big data-based tourist flow management and control method and cloud service platform

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Embodiment 1

[0038] The construction of smart scenic spots is mainly based on industrial elements such as operating resources and service facilities in scenic spots. Through the application of software systems and the deployment of digital networks, a unified operating system for operating resources and service facilities is established to form a grid of tourist attractions. Management, with the help of the establishment of the tourism resource management system, the operating resources within the jurisdiction of the scenic area will play a more active and scientific management role in increasing income and generating profits, forming a second income development pole besides the ticket income of traditional scenic spots; at the same time, the maintenance of property resources The normalization of organization and operation will also promote the continuous improvement of the service ability and quality of scenic spots, and the integration of various information and daily monitoring data of la...

Embodiment 2

[0096] refer to Figure 4 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a tourist passenger flow control cloud service platform based on reservation big data, which specifically includes a client layer and a cloud console layer. and cloud backend layer.

[0097] The client layer consists of clients interacting with the Eucalyptus platform through Rest and Soap-based web services.

[0098] The cloud console layer and the cloud backend layer constitute the five core components of the Eucalyptus platform, including cloud controller, cluster controller, Walrus, storage controller and node controller.

[0099] The cloud controller is used to control and manage all node controllers in the LAN, and is the main entrance for users and administrators to enter the Eucalyptus platform.

[0100] The cluster controller is responsible for managing the entire virtual machine instance network, maintaining...

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Abstract

The invention discloses a tourist flow management and control method based on reservation big data and a cloud service platform, and the method comprises the steps: carrying out the preprocessing of collected tourist information, and carrying out the marking of the information, and obtaining a sample label; universal modeling is carried out on available resources in the tourism management and control platform, and the sample labels are imported to carry out passenger flow analysis; blocking management is carried out based on a distributed strategy of iterative scenic spot ticket prices, and distributed blocking management is formed; and introducing a passenger flow analysis result into the tourism management and control platform, and redistributing congestion resource surplus collected by the real-time market tourism management and control platform in combination with the distributed congestion management. According to the invention, tourist resources and available scenic spot resources can be reasonably managed, controlled and allocated, and the situation of scenic spot paralysis caused by large-area congestion is avoided.

Description

technical field [0001] The invention relates to the technical fields of passenger flow management and big data processing, in particular to a tourist passenger flow management and control method based on reservation big data and a cloud service platform. Background technique [0002] With the development of information technology, it is becoming a new trend in the development of tourism to transform and upgrade the tourism industry with modern new technologies and equipment, and to build smart scenic spots. In this process, science and technology not only create a large number of new tourism formats and The new tourism demand will guide new tourism consumption and will also greatly promote the innovation of service methods and business models. [0003] At present, with the application of Internet of Things, cloud computing, mobile Internet, high-performance information processing, intelligent data mining and other technologies in tourism experience, industrial development, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/02G06Q50/14G06F16/215G06F16/2457G06F16/2458G06F16/29
CPCG06Q10/02G06Q50/14G06F16/2457G06F16/2462G06F16/215G06F16/29
Inventor 崔冬祥
Owner 南京莫愁智慧信息科技有限公司
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