Artificial intelligence-assisted tourist flow analysis method for tourist destination

Abstract

The invention relates to an artificial intelligence assisted tourist destination tourist flow analysis method. The method comprises the following steps: obtaining tourist destination information, collecting tourist flow data according to a destination, obtaining the data, establishing a tourist flow data platform, and updating the data in real time; a visualization tool is selected according to the type of data acquired by the data acquisition platform and analysis requirements, and destination tourist information needing to be analyzed is poured into the selected visualization tool to be converted into a chart to be displayed. According to the method, the visual chart is adopted to express and analyze the passenger flow volume, the visual technology provides a powerful tool for passenger flow volume analysis, mass tourism data can be better understood and utilized, and the tourism flow volume analysis efficiency is improved by collecting and sorting data, selecting proper visual tools, creating charts and graphs and carrying out deep analysis. And tourist practitioners and decision makers can be helped to make intelligent decisions, and continuous innovation and development of the tourist industry can be promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of tourism management, and in particular to an artificial intelligence-assisted tourist flow analysis method for a tourist destination. Background Art

[0002] Customer flow counting refers to the process of counting and recording the number of people entering or leaving a specific place. This process is usually achieved by using counters, cameras, infrared sensors or other technical means. Customer flow analysis is an in-depth analysis of customer flow statistics to obtain information about customer flow patterns, trends, preferences and behaviors. Through customer flow analysis, we can better understand customer behavior patterns, conduct precision marketing, optimize service processes, and improve operational efficiency and customer satisfaction. Customer flow counting and analysis play an important role in the retail, transportation, tourism and other fields.

[0003] For example, a tourist flow analysis method for tourist destinations based on big data was proposed in 201810478921.7. It uses cloud computers to communicate with monitoring computers of tourism management departments, urban management departments, railway companies and passenger transport companies, so as to achieve effective processing of data analysis results and effectively and scientifically arrange and handle passenger flow during peak holiday tourism periods.

[0004] However, the above scheme lacks in-depth analysis of passenger flow. It only uses a line chart to show the change of passenger flow at the tourist destination. It does not provide a specific analysis of passenger flow distribution, passenger flow direction, passenger flow density, passenger flow time distribution and other information. It is difficult to meet the market demand for passenger flow statistics and passenger flow analysis. Therefore, an artificial intelligence-assisted tourist flow analysis method for tourist destinations is proposed to solve the above problems. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an artificial intelligence-assisted tourist flow analysis method for a tourist destination, which has the advantages of visual analysis and multi-dimensional analysis, and solves the problem that the prior art lacks an in-depth analysis of passenger flow, and only uses a line chart to display the changes in passenger flow at a tourist destination, without a specific analysis of passenger flow distribution, passenger flow direction, passenger flow density, passenger flow time distribution and other information, and is unable to meet the market demand for passenger flow statistics and passenger flow analysis.

[0006] To achieve the above object, the present invention provides the following technical solution: an artificial intelligence-assisted tourist flow analysis method for a tourist destination, comprising the following steps:

[0007] Step 1: Establish a data collection platform

[0008] Obtain information about tourist destinations, collect tourist flow data based on the destinations, obtain data to establish a tourist flow data platform, and update the data in real time;

[0009] Step 2: Visualize Data

[0010] Select a visualization tool based on the type of data obtained through the data collection platform and the analysis requirements, and import the destination tourist information that needs to be analyzed into the selected visualization tool and convert it into a chart for display;

[0011] Step 3: Visual Analysis

[0012] Obtain visual chart information, refine the information in the chart, obtain the maximum, minimum and inflection point information of the data in the chart, and analyze the data fluctuation;

[0013] Step 4: Customer Flow Analysis

[0014] Through visual chart information, the passenger flow distribution, passenger flow direction, passenger flow density and passenger flow time distribution analysis are carried out on the passenger flow entering the destination;

[0015] Step 5: Get the analysis results

[0016] Feed the analyzed data back to the user, build a large database, crawl the processing opinions of relevant data results, and match the processing opinions according to the analysis structure.

[0017] Preferably, the data collection platform obtains passenger flow information of high-speed railways, airplanes, cars and highway intersections at the destination through the network, collects ticket sales information of different platforms at the destination attractions, and performs statistical storage of the data.

[0018] Preferably, the data collection platform is divided into a user end, a management end and a database. The user end is used for users to view data, the management end is used to manage the data on the data collection platform, and the database is used to store data.

[0019] Preferably, the visualization tool is one of Tableau, Datawrapper and PowerBI, and the visualization tool calls database data in the data acquisition platform.

[0020] Preferably, the visualization surface uses a line graph to display the changing trend of time series data, uses a map to display the distribution of tourist flow in different regions, and highlights important data points and insights by adjusting the color, size and shape visual elements.

[0021] Preferably, the passenger flow distribution is used to understand the distribution of people in a specific area and analyze the distribution density of people in different areas or locations, and the passenger flow direction is used to understand the flow direction of people in a specific area, where the specific area is the entrances and exits, passages, transfer points and bus stops around the scenic area.

[0022] Preferably, the passenger flow density is used to understand the density changes of people in a specific area, and by analyzing the density of people, the regional layout and resource allocation are adjusted in time. The passenger flow time distribution is used to understand the changes of people in different time periods, including peak and trough periods, to help with reasonable time management and service arrangements.

[0023] Preferably, the data obtained from the passenger flow analysis will be fed back to the data collection platform and presented to the user in combination with visual charts. The analysis data is displayed through a Web front-end software program interface and interconnected with the hyperlink data collection platform.

[0024] Preferably, the large database is communicatively connected with monitoring computers of tourism management departments, city management departments, railway companies and passenger transport companies.

[0025] Compared with the prior art, the technical solution of this application has the following beneficial effects:

[0026] 1. The present invention uses visual charts to describe and analyze passenger flow. Visualization technology provides a powerful tool for passenger flow analysis, which can better understand and utilize massive tourism data. By collecting and organizing data, selecting appropriate visualization tools, creating charts and graphs, and conducting in-depth analysis, it can help tourism practitioners and decision makers make wise decisions and promote continuous innovation and development of the tourism industry.

[0027] 2. The present invention conducts passenger flow statistics and passenger flow analysis. Through passenger flow statistics and analysis, we can better understand customer behavior patterns, including store entry time, stay time, purchase preferences, etc., which is conducive to merchants to make reasonable plans for purchase, sales and inventory, and optimize service processes. Through passenger flow statistics and analysis, we can predict and adjust the flow of people in different time periods, improve consumer satisfaction, reduce waiting time in queues, and improve service efficiency. Through passenger flow data analysis, we can respond to congestion, emergencies and other safety issues in a timely manner. Through passenger flow statistics and analysis, we can deeply understand market demands and trends, and provide support for the positioning of business districts and stores and investment decisions. DETAILED DESCRIPTION

[0028] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] An artificial intelligence-assisted tourist flow analysis method for a tourist destination in this embodiment includes the following steps:

[0030] Step 1: Establish a data collection platform

[0031] Obtain information about tourist destinations, collect tourist flow data based on the destinations, obtain data to establish a tourist flow data platform, and update the data in real time;

[0032] Step 2: Visualize Data

[0033] Select a visualization tool based on the type of data obtained through the data collection platform and the analysis requirements, and import the destination tourist information that needs to be analyzed into the selected visualization tool and convert it into a chart for display;

[0034] Step 3: Visual Analysis

[0035] Obtain visual chart information, refine the information in the chart, obtain the maximum, minimum and inflection point information of the data in the chart, and analyze the data fluctuation;

[0036] Step 4: Customer Flow Analysis

[0037] Through visual chart information, the passenger flow distribution, passenger flow direction, passenger flow density and passenger flow time distribution analysis are carried out on the passenger flow entering the destination;

[0038] Step 5: Get the analysis results

[0039] Feed the analyzed data back to the user, build a large database, crawl the processing opinions of relevant data results, and match the processing opinions according to the analysis structure.

[0040] In this embodiment, the data collection platform crawls the passenger flow information of high-speed railways, airplanes, cars and highway intersections, counts and stores the passenger flow data, and collects the ticket sales information of destination attractions for statistics.

[0041] In this embodiment, the data collection platform consists of a user end, a management end and a database, wherein the user end guides users to view passenger flow data through an interactive interface, the management end is used to manually identify the data on the data collection platform, and to modify, add, delete and view the data, and the database is used to store background data.

[0042] In this embodiment, the visualization tool uses Tableau software, and the specific steps are as follows:

[0043] 1) Open the Tableau Desktop application;

[0044] 2) Connect to the data source;

[0045] 3) Drag the field to the worksheet's Marks, Columns, Rows, Sizes, Details, Filters, or Parameters area.

[0046] 4) Adjust the data organization to suit the analysis needs;

[0047] 5) Use various chart types provided by Tableau, such as charts, matrices, dashboards, etc., to present data;

[0048] 6) Save and publish the worksheet.

[0049] In this embodiment, the visualization body uses a line graph to display the changing trends of time series data, uses a map to show the distribution of tourist flow in different regions, and highlights important data points and insights by adjusting the color, size and shape visual elements. After creating the charts and graphs, they are interpreted and analyzed by observing the trends and changes in the charts.

[0050] It should be noted that visualization is the theory, method and technology of using computer graphics and image processing technology to convert data into graphics or images and display them on the screen, and to perform interactive processing. It involves multiple fields such as computer graphics, image processing, computer vision, computer-aided design, etc., and has become a comprehensive technology for studying a series of problems such as data representation, data processing, and decision analysis.

[0051] In this embodiment, passenger flow distribution is used to understand the distribution of personnel in a specific area and analyze the density of personnel distribution in different areas or locations. Passenger flow direction is used to understand the flow direction of personnel in a specific area, where the specific area is the entrance and exit, passage, transfer point and bus stop around the scenic area. Passenger flow density is used to understand the density changes of personnel in a specific area. By analyzing the density of personnel, the regional layout and resource allocation are adjusted in time. Passenger flow time distribution is used to understand the changes of personnel in different time periods, including peak and trough periods, to help with reasonable time management and service arrangements. The present invention is of great significance for optimizing space planning, improving service quality and improving operational efficiency. Through passenger flow statistics and passenger flow analysis, people's needs can be better met and a better service experience can be provided.

[0052] In this embodiment, the data obtained from the passenger flow analysis will be fed back to the data collection platform and presented to the user in combination with a visual chart. The analysis data is displayed through a Web front-end software program interface, and the hyperlinked data collection platform is interconnected. The big database is connected to the monitoring computers of the tourism management department, the city management department, the railway company, and the passenger transport company.

[0053] By adopting the above technical solution, the present invention uses visualization charts to express and analyze passenger flow. Visualization technology provides a powerful tool for passenger flow analysis, which can better understand and utilize massive tourism data. By collecting and organizing data, selecting appropriate visualization tools, creating charts and graphs, and conducting in-depth analysis, it can help tourism practitioners and decision makers make wise decisions and promote the continuous innovation and development of the tourism industry. Through passenger flow statistics and analysis, customers' behavior patterns can be better understood, including store entry time, stay time, purchase preferences, etc., which is conducive to merchants to make reasonable plans for purchase, sales and inventory, and optimize service processes. Through passenger flow statistics and analysis, the flow of people in different time periods can be predicted and adjusted, consumer satisfaction can be improved, waiting time in queues can be reduced, and service efficiency can be improved. Through passenger flow data analysis, congestion, emergencies and other safety issues can be responded to in a timely manner. Through passenger flow statistics and analysis, market demand and trends can be deeply understood, and support can be provided for the positioning and investment decisions of business districts and stores.

[0054] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence-assisted tourist flow analysis method for a tourist destination, characterized in that: The steps include: Step 1: Establish a data collection platform Obtain information about tourist destinations, collect tourist flow data based on the destinations, obtain data to establish a tourist flow data platform, and update the data in real time; Step 2: Visualize Data Select a visualization tool based on the type of data obtained through the data collection platform and the analysis requirements, and import the destination tourist information that needs to be analyzed into the selected visualization tool and convert it into a chart for display; Step 3: Visual Analysis Obtain visual chart information, refine the information in the chart, obtain the maximum, minimum and inflection point information of the data in the chart, and analyze the data fluctuation; Step 4: Customer Flow Analysis Through visual chart information, the passenger flow distribution, passenger flow direction, passenger flow density and passenger flow time distribution analysis are carried out on the passenger flow entering the destination; Step 5: Get the analysis results Feed the analyzed data back to the user, build a large database, crawl the processing opinions of relevant data results, and match the processing opinions according to the analysis structure.

2. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The data collection platform obtains passenger flow information of high-speed railways, airplanes, cars and highway intersections at the destination through the network, collects ticket sales information of different platforms at the destination attractions, and performs statistical storage of the data.

3. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The data collection platform is divided into a user end, a management end and a database. The user end is used for users to view data, the management end is used to manage the data on the data collection platform, and the database is used to store data.

4. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The visualization tool is one of Tableau, Datawrapper and PowerBI, and the visualization tool calls database data in the data acquisition platform.

5. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The visualization uses a line chart to show the changing trend of time series data, and a map to show the distribution of tourist flow in different regions, and highlights important data points and insights by adjusting the color, size and shape visual elements.

6. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The passenger flow distribution is used to understand the distribution of people in a specific area and analyze the distribution density of people in different areas or locations. The passenger flow direction is used to understand the flow direction of people in a specific area, where the specific area is the entrances and exits, passages, transfer points and bus stops around the scenic area.

7. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The passenger flow density is used to understand the density changes of people in a specific area. By analyzing the density of people, the regional layout and resource allocation can be adjusted in time. The passenger flow time distribution is used to understand the changes of people in different time periods, including peak and trough periods, to help with reasonable time management and service arrangements.

8. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The data obtained from the passenger flow analysis will be fed back to the data collection platform and presented to users in combination with visual charts. The analysis data is displayed through a Web front-end software programming interface and interconnected with the hyper-connected data collection platform.

9. The method for analyzing tourist flow at a tourist destination assisted by artificial intelligence according to claim 1, characterized in that: The large database is connected to the monitoring computers of the tourism management department, the city management department, the railway company and the passenger transport company.