Summary
With the development of tourism, tourism platforms, as an important part of the tourism industry, have gradually received more and more attention. In this context, tourism platforms based on big data analysis emerged as the times require. This article aims to study a tourism platform based on big data analysis.
Based on the current development trend of the tourism industry, this article proposes a feasible solution: using django technology, python technology, MySQL database, etc., to analyze the current status of tourism and tourism conditions, and divide the system roles into administrators and ordinary users. Realization, the administrator is mainly responsible for the maintenance and management of the entire website backend, such as user management, attractions and classification management, travel route management, hotel management and other functions; the front desk includes user login registration, tourist attraction inquiry and reservation, travel route inquiry and collection, Hotel inquiry and reservation functions.
Therefore, tourism platforms based on big data analysis have important significance and role in improving the digital management level of the tourism industry, optimizing the allocation of tourism resources, and improving service quality. It will also open up new business opportunities and future market space for the tourism industry, and provide huge assistance to promote the healthy development of the tourism industry.
Keywords: tourism platform based on big data analysis ; python; MySQL database;
1.5 Project design goals and principles
1.5.1 Basic requirements for tourism platforms based on big data analysis
The tourism industry is a diversified industry that involves rich information and data that are highly time-sensitive. Therefore, traditional manual analysis methods are often unable to cope with the growing large-scale data, and big data analysis technology must be used for data mining and analysis. The following are the basic requirements for travel platforms when using big data analysis:
Diversified data sources: Travel platforms require multi-user data, including online and offline user data collection. Online user data sources include: online bookings, user reviews, user browsing web pages, search keywords, etc. Data generated by offline users such as tourist destination pick-up data sources, hotel accommodation data sources, etc.
Large amount of data and timely updates: The tourism industry is a highly time-sensitive industry. The platform needs to ensure timeliness and be able to collect, store and integrate various data information including all online and offline customers, and update it in a timely manner. The platform should make full use of modern data collection technology and establish fast and efficient data storage and processing processes to ensure the timeliness and accuracy of data.
Data quality assurance: When using big data analysis technology, you must pay attention to data quality assurance. The data must be accurate and reliable. A complete data collection, storage, processing and management mechanism needs to be established to ensure the integrity and accuracy of data information. sex and effectiveness.
Data processing and mining capabilities: After collecting massive data, it is necessary to use various data analysis tools and technologies to conduct in-depth analysis and mining of the data to understand tourism industry trends and customer preferences, thereby optimizing product design and service models, and improving customer Satisfaction.
Data sharing and application: To establish a data analysis platform, it is necessary to realize data sharing and application, integrate the results of data analysis into tourism services and product design, and provide users with more accurate travel plans and personalized services.
To sum up, the basic requirements can ensure the smooth progress of the big data analysis work of the tourism platform, and ultimately help tourism companies make strategic decisions and create intelligent and efficient online tourism services.
1.5.2 Development goals
One of the development goals of the tourism platform is to realize the visualization and analysis of tourism data. Through big data analysis technology, the platform can collect, process and analyze large amounts of tourism data, and then visualize and present these data to users to help them better understand tourism industry trends and market needs, and make more informed decisions and planning.
Specifically, the development goals of the tourism platform include the following aspects:
Data collection and processing: Collect relevant tourism data through various means, including data mining technology, web crawlers and data analysis, and process and clean these data to ensure the accuracy and credibility of the data.
Data modeling and prediction: Through big data analysis technology, establish a data model for the tourism industry, and use the model to predict future market trends, user needs and other information, allowing the platform to make more accurate market and business decisions.
Data visualization and presentation: Through data visualization technology, the collected data is presented to users in the form of icons, tables, and graphs, allowing users to intuitively understand the overview of the tourism market and assist them in formulating more effective market and business strategies.
Data security and privacy: During the process of data collection, processing and analysis, travel platforms need to ensure data security and strictly abide by relevant regulations and privacy policies to protect the security and privacy of user data.
In short, through big data analysis technology, tourism platforms can achieve a deeper and more comprehensive understanding of the market and user needs, help companies formulate more accurate and effective market and business strategies, and improve competitiveness and efficiency. At the same time, the platform also provides tourists with better service and experience.
1.5.3 Design principles
The design principles of the tourism platform based on big data analysis are as follows:
User demand orientation: When designing a travel platform, it is necessary to consider the needs of users, provide the information and services needed by users, provide help for users' travel experience, and meet the personalized needs of users.
Data analysis capabilities: Tourism platforms should have data analysis capabilities. Through summary analysis of various data, they can provide users with better travel routes, attractions, catering and accommodation information, so that users can better plan their travel itineraries.
High security: Travel platforms involve sensitive information such as users' personal information and transaction data, and need to have a high degree of security and use advanced encryption technology to protect user data security.
Intelligent services: Intelligent elements should be integrated into the tourism platform to provide intelligent recommendation services, real-time monitoring of travel routes, intelligent analysis and other services to improve users' travel experience and safety.
Big data marketing: Tourism platforms should have big data marketing capabilities and conduct targeted marketing activities based on data analysis to increase user participation and platform revenue.
Based on the above design principles, the tourism platform can better serve users, provide personalized and high-quality tourism services, and promote the development of the tourism industry. At the same time, the application based on big data analysis will also have a positive impact on the intelligence, informatization, feedback services and other aspects of the tourism industry, and promote the transformation and upgrading of the industry.
1.6 Arrangement of thesis chapters
The design and implementation of the tourism platform based on big data analysis is divided into seven chapters.
Chapter 1 mainly analyzes the background of system development and the current status of domestic and foreign tourism platforms based on big data analysis.
Chapter 2 introduces the system development technology and development tools.
Chapter 3 introduces the analysis and design of the system, including feasibility analysis, performance analysis, and use case and process analysis of the system. It mainly introduces the functional design and database part of the system.
Chapter 4, the implementation part of the system, mainly introduces the main functional modules and core code of the system.
Chapter 5 is the testing part of the system, describing the purpose of system testing and test cases, and optimizing the loopholes in the system through the system testing function.
Chapter 6 is the summary and outlook of the system, which mainly introduces the overall work of the system and some prospects for the future.
3.1 Functional requirements analysis
This graduation project is mainly about designing and developing a tourism platform software based on big data analysis. Use the current django framework provided by Google to implement functions such as scenic spot information and message feedback. Of course the database used is mysql. The system mainly includes personal information modification, user management, attraction type management, attraction information management, ticket purchase management, hotel information management, room reservation management, travel route management, system management and other functions;
The use case diagram of this management system is classified according to role permissions and can be mainly divided into administrator use cases and user use cases.
(1) Administrator use case diagram
The administrator use case diagram analyzes the administrator's permission requirements and system management requirements, mainly including login, personal information modification, user management, attraction type management, attraction information management, ticket purchase management, hotel information management, and room reservation management. , travel route management, system management, etc. The administrator use case diagram is as follows:
Figure 3-1 Administrator use case diagram
The user use case diagram is analyzed based on the user's needs, including user login and registration, personal information modification, ticket purchase management, room reservation management, etc. The user use case diagram looks like this:
Figure 3-2 User use case diagram
3.5.4 Business process design of scenic spot information function
After the user accesses the front-end interface, he can view the scenic spot information released in the background in the scenic spot information function module. The user will not have permission restrictions during the query process, that is, as long as he accesses the website, he has the right to query the scenic spots, and when he wants to comment When collecting, collecting or purchasing tickets, the user needs to log in, and the operation can be performed only after logging in. Based on the analysis of the business process of the scenic spot information function, the scenic spot information business flow chart is shown in Figure 3-7.
Figure 3-7 Front desk attraction operation flow chart
3.5.5 Hotel functional business process design
After the user accesses the front-end interface, the hotel information released in the background can be viewed in the hotel information function module. Both tourists and users can query hotel information. However, when making comments, collections, and hotel reservations, the user needs to log in. Only after logging in can the user access the front-end interface. Perform operations. Based on the analysis of the hotel information function business process, the hotel information business flow chart is shown in Figure 3-8.
Figure 3-8 Hotel information query flow chart
Database design is to process data and describe and outline it through the data conceptual model. Here, the entity class is expressed in the form of ER diagram, and system data is displayed through this.
The system ER diagram is shown in Figure 3-13.
Figure 3-13 System ER diagram
4.1 System function implementation
When people open the website of the system, the first thing they see is the homepage interface. Here, people can see the navigation bar of the tourism platform based on big data analysis, and navigate through the navigation bar to enter each function display page for operation. The system homepage interface is shown in Figure 5-1:
Figure 5-1 System home page interface
System login: Enter user information in the input field of the system login page to log in. The system login page is shown in Figure 5-2:
Figure 5-2 System login page
Attraction information: Enter the name of the attraction in the input field of the attraction information page to query, you can view the product details, and add it to hotel information, comments, buy now or favorites as needed; the attraction information page is shown in Figure 5-3 Shown:
Figure 5-3 Attraction information detailed page
The data visualization interface of the tourism platform based on big data analysis is shown in Figure 5-14:
Figure 5-14 Data visualization interface
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