Design and implementation of large-screen full-screen system for data visualization of tourist attractions in Hubei and Wuhan using python (django framework)

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Project proposal report on the design and implementation of a large-screen full-screen system for data visualization of tourist attractions in Wuhan, Hubei (Django framework)

1. Research background and significance

With the rapid development of the tourism industry, the large-screen full-screen system for visualizing tourist attraction data has become an important means to improve the quality of tourism services and tourist experience. Wuhan, Hubei Province, as a famous historical and cultural city and tourist attraction in China, has rich tourism resources. In order to better display Wuhan's tourist attraction data and improve tourism management and service levels, this research aims to design a large-screen full-screen system for visualizing tourist attraction data in Hubei and Wuhan based on the Django framework. The system can intuitively display real-time data of various scenic spots in Wuhan, provide convenient data query and visualization services for tourism management departments and tourists, and promote the sustainable development of Wuhan's tourism industry.

2. Research status at home and abroad

At present, there have been many studies and practices in the field of data visualization at home and abroad, but there are still few tourist attraction data visualization systems for specific regions or industries. As a mature Web development framework, the Django framework has the advantages of stability, flexibility, and scalability, and is widely used in the development of various Web application systems. Therefore, this research will combine the advantages of the Django framework and the actual needs of tourist attractions in Wuhan, Hubei, to design a customized data visualization system.

3. Research ideas and methods

This research will adopt the following ideas and methods:

1. Demand analysis: Conduct in-depth research on the characteristics and needs of tourist attractions in Wuhan, Hubei, and clarify the functional goals of the system.
2. Technology selection: Use the Django framework as the back-end development technology, taking advantage of its stability, flexibility, and scalability; and select appropriate front-end visualization libraries and tools.
3. System design: Design the database structure, front-end and back-end interactive interfaces and visual interface layout to ensure the stability and ease of use of the system.
4. System implementation: Based on the design plan, write code to implement functions such as background data processing and front-end data display.
5. Testing and optimization: Carry out system testing to verify the correctness and performance of the system; optimize based on feedback to improve user experience and system stability.

4. Research content and innovation points

1. Research content: Mainly includes the collection and organization of tourist attraction data in Wuhan, Hubei, system architecture design under the Django framework, front-end and back-end interaction mechanism design, visual interface design and implementation, system testing and optimization, etc.
2. Innovation: Design a customized data visualization system based on the characteristics and needs of tourist attractions in Wuhan, Hubei; utilize the flexibility of the Django framework to achieve efficient data processing and display; provide an intuitive data visualization interface to improve tourism management and service levels.

5. Backend functional requirement analysis and front-end functional requirement analysis

1. Backend functional requirements: including attraction data collection and cleaning, data storage and management, data analysis and mining, authority management and security control, etc.
2. Front-end functional requirements: user login and authority verification, visual display of attraction data (such as attraction distribution map, tourist traffic trend chart, etc.), interactive operations and responses (such as filtering, sorting, etc.), interface layout and beautification, etc.

6. Research ideas, research methods, and feasibility

This study adopts research ideas and methods of research analysis, technology selection, system design, system implementation and test optimization. The maturity and stability of the Django framework and its rich visual libraries and tool resources provide strong support for the design and implementation of the system. At the same time, combined with the actual situation and characteristics of tourist attractions in Wuhan, Hubei, the customized data visualization system will be more practical and targeted. Therefore, this study is feasible.

7. Research progress arrangement

1. The first stage (1-2 months): Complete research analysis and technology selection.
2. The second stage (3-4 months): Complete system design and development work.
3. The third stage (5-6 months): Complete system testing and optimization work, and write relevant papers or reports.

8. Thesis (design) writing outline

1. Introduction: Explain the research background and significance, and introduce the current research status at home and abroad.
2. Demand analysis: Analyze the needs and challenges of data visualization of tourist attractions in Wuhan, Hubei.
3. Technology selection and design: Select Django framework and front-end visualization libraries and tools to design the system architecture.
4. System implementation: Describe in detail the implementation process of back-end data processing and front-end data display.
5. System testing and optimization: Introduce system testing methods and results, and discuss performance optimization strategies.
6. Case analysis and application: Take the tourist attractions in Wuhan, Hubei Province as an example to demonstrate the practical application effect of the system.
7. Conclusion and outlook: Summarize the research results and shortcomings, and propose future improvement directions and application prospects.

9. Main references

1. Django Official Documentation. (2023). Django Web Framework.  Django documentation | Django documentation | Django
2. Python Data Visualization Manual. (2019). Machinery Industry Press.
3. Tourism Data Analysis and Application. (2018). Tourism Education Press.
4. Wang Xiaochuan, et al. (2018). Practical Web development based on Django. People's Posts and Telecommunications Press.
5. The Beauty of Data Visualization. (2017). Electronic Industry Press.
6. China Tourism Industry Annual Report. (2022). China Tourism Academy.
7. Relevant journal articles, conference papers, online blogs, etc., involving Django framework, data visualization, tourism data analysis, etc.

10. Expected research results

Through this research, the following research results are expected to be achieved:

1. A large-screen full-screen system for data visualization of tourist attractions in Hubei and Wuhan based on the Django framework, which can intuitively display real-time data of various tourist attractions in Wuhan.
2. A detailed system design document, including database design, front-end and back-end interactive interface design, visual interface design, etc.
3. A system test report that verifies the correctness and performance of the system and provides optimization recommendations.
4. A relevant paper or technical report summarizing the research process, methods and results to provide reference for subsequent research and practice.

11. Research Team and Division of Labor

This research team consists of experienced software developers, data analysts, and designers. The specific division of labor is as follows:

1. Project leader: Responsible for the overall planning and progress management of the project, and coordinating the work of team members.
2. Software developer: Responsible for back-end data processing and front-end interface development.
3. Data Analyst: Responsible for collecting, cleaning and analyzing data on tourist attractions in Wuhan, Hubei.
4. Designer: Responsible for the design and beautification of visual interfaces.

Team members will work closely together to complete various tasks of this project.

12. Research risks and countermeasures

This research may face the following risks:

1. Technical difficulties: You may encounter technical bottlenecks or unforeseen technical problems during the development process. Countermeasures: Carry out technical reserves and risk assessment in advance, and actively seek expert consultation and solutions.
2. Difficulty in data acquisition and processing: Due to the diversity and complexity of data sources, data cleaning and integration may face challenges. Countermeasures: Establish a standardized data processing process and use advanced data cleaning and analysis tools to improve processing efficiency.
3. Time and funding constraints: Limited project time and funding may affect the depth and breadth of the research. Countermeasures: Reasonably arrange the project plan to ensure that key tasks are completed first; at the same time, actively seek external support and cooperation to expand research resources.
4. Changes in user needs: As the tourism market continues to develop, user needs may change. Countermeasures: Maintain close communication with users, understand and respond to changes in needs in a timely manner, and ensure the practicality and advancement of the system.
5. Competitive pressure: As competition in the travel industry becomes increasingly fierce, systems may need to be continuously optimized and upgraded to remain competitive. Countermeasures: Continue to pay attention to industry dynamics and technology development trends, and conduct system upgrades and improvements in a timely manner to meet user needs and market changes.

By implementing the above countermeasures, this project will reduce risks as much as possible and ensure the smooth progress of the research and the achievement of results.

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Opening report

1. Research background and significance

As the economic, cultural and transportation center city in central China, Wuhan has rich tourism resources and attractions. In order to better promote Wuhan tourism and provide tourists with a more intuitive and convenient way to understand Wuhan tourist attractions, this study intends to design and implement a Python Hubei Wuhan tourist attraction data visualization large-screen full-screen system.

2. Research status at home and abroad

At present, many tourism systems based on data visualization have emerged at home and abroad, but most of them are based on web pages or mobile APPs. However, research on data visualization systems displayed on large screens is still relatively rare. Therefore, the system design of this study has greater innovation and practical value.

3. Research ideas and methods

The research idea of ​​this study is system design and implementation based on the Django framework. First, it is necessary to collect relevant data about Wuhan tourist attractions, including attraction name, location, introduction, transportation and other information. Then, use Python's data visualization library (such as Matplotlib, Seaborn, etc.) for data processing and visualization to generate various charts and maps. Finally, the data visualization results are displayed through the Django framework, and a beautiful and practical front-end page is designed.

4. Research internal customers and innovation points

The main innovation of this study is to apply data visualization to a large-screen full-screen system to provide tourists with a more intuitive and comprehensive way to understand Wuhan tourist attractions. At the same time, data visualization is used to display the correlation and characteristics between attractions to help tourists make better travel planning and decision-making.

5. Backend functional requirement analysis and front-end functional requirement analysis

Backend functional requirements analysis:

1. Data collection and storage: Use web crawler technology to collect relevant data about Wuhan tourist attractions and store it in the database.
2. Data processing and visualization: Use Python's data processing and visualization library to process and draw charts on the collected data.
3. Database management: Design and manage the database, including the function of adding, deleting, modifying and checking attraction information.
4. System configuration and management: Configure and manage the system, including user rights management, system settings and other functions.

Front-end functional requirements analysis:

1. Data display: Display the data visualization results of Wuhan tourist attractions on the big screen, including charts, maps, etc.
2. Interactive functions: Provide interactive functions between users and the system, including search, filtering, sorting, etc.
3. Information display: Display detailed information of attractions, including name, location, introduction, transportation, etc.
4. User management: Provides functions such as user registration, login, and modification of personal information.

6. Research ideas, research methods, and feasibility

The research idea of ​​this study is system design and implementation based on the Django framework. Use Python's data visualization library to process and visualize relevant data of Wuhan tourist attractions, and design a beautiful and practical large-screen full-screen system through the Django framework.

The feasibility of this study lies in:

1. Python has a rich data visualization library and Django framework, which can meet the needs of system design and implementation.
2. As an economic, cultural and transportation center city in central China, Wuhan has rich tourism resources and attractions, providing sufficient conditions for systematic data collection.

7. Research progress arrangement

1. Week 1: Collect relevant data on Wuhan tourist attractions and perform preliminary data processing.
2. Week 2: Study Python’s data visualization library and select a suitable library for drawing charts and maps.
3. Week 3: Learn the Django framework and design and implement the system’s backend functions.
4. Week 4: Design the front-end page of the system and implement data interaction functions with the backend.
5. Week 5: Carry out system testing and debugging, and perform performance optimization.
6. Week 6: Complete the writing of the graduation thesis and make subsequent revisions and revisions.

8. Thesis (design) writing outline

1. Introduction 1.1 Research background and significance 1.2 Research status at home and abroad 1.3 Research ideas and methods

2. System design and implementation 2.1 Back-end functional requirement analysis and design 2.2 Front-end functional requirement analysis and design 2.3 System architecture design 2.4 Data visualization processing and display

3. System testing and performance optimization

4. Results and discussion

5. in conclusion

6. references

9. Main references

1. Tian Xin. Design and implementation of tourist attraction information management system based on Django[D]. Dalian: Dalian University of Technology, 2016.
2. Zhang San. Python data visualization[M]. Beijing: People's Posts and Telecommunications Press, 2014.
3. Li Si. Django Web Development Guide[M]. Beijing: Tsinghua University Press, 2015.