A smart cultural tourism and sports management system based on AI big data

Abstract

The present invention relates to the field of computer technology, and discloses a smart cultural tourism sports management system based on AI big data, including: a data acquisition unit, an information data writing module, a data storage module, a data preprocessing module, an analysis management module, an analysis management result display module and a network module; wherein: the data acquisition unit: is used to collect information data within a period of time from the Internet big database system. After a comprehensive analysis of the daily weather, average temperature and the response degree of the sports events held during the same historical time period in the same theme scenic spot, the comprehensive score of the sports events held is obtained; then the daily weather, average temperature and flow of people in the current scenic spot within a period of time are used to obtain the estimated comprehensive score of the sports events held; then the estimated comprehensive score is compared and matched with the comprehensive score, so that the conditions of the current scenic spot that are suitable for holding sports events can be accurately obtained.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and more specifically discloses an intelligent cultural tourism and sports management system based on AI big data. Background Art

[0002] Cultural tourism sports is a form of fitness that combines sports and tourism or tourism and sports. It is also a branch product in the cultural tourism industry and a new thing. It not only enriches the tourism market, but also fills the public's demand for tourism. Tourists can enjoy play, entertainment and health while traveling. It is an important part of the sports industry, and it is also a new highlight in the development of the tourism industry. It is a new economic field generated by the cross-penetration of the sports industry and the tourism industry. In recent years, with the rapid development of the tourism industry and the popularization of the concept of sports and fitness, more and more cities have chosen to combine cultural tourism with sports when developing the tourism industry, which not only allows tourists to enjoy the joy of travel, but also allows them to exercise during the travel process. Summary of the invention

[0003] The present invention mainly provides an intelligent cultural tourism sports management system based on AI big data, which can solve the problem that it is impossible to accurately formulate strategies for sports events to be held in scenic spots, which easily leads to the inability to fully utilize public resources.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a smart cultural tourism and sports management system based on AI big data includes: a data acquisition unit, an information data writing module, a data storage module, a data preprocessing module, an analysis and management module, an analysis and management result display module and a network module; wherein:

[0005] Data acquisition unit: used to collect information data within a period of time from the Internet big database system; it includes a recent data acquisition module and a historical data acquisition module; the recent data acquisition module is used to collect and obtain the weather, temperature and flow of people in the scenic area every day within a period of time from the Internet big database system; the historical data acquisition module is used to collect the weather, temperature and response level of the sports events held in the same theme scenic area every day in the same historical period of time from the Internet big database system;

[0006] Information data writing module: used to write the information data collected and acquired by the information data acquisition unit into the data storage module;

[0007] Data storage module: used for receiving the information data written by the information data writing module and storing the written information data;

[0008] Data preprocessing module: used to retrieve the historical information data collected by the historical data collection module from the data storage module, and pre-process and analyze it to obtain the preprocessing results, and then return the obtained preprocessing results to the data storage module for storage;

[0009] Analysis management module: used to retrieve the information data collected by the latest data collection module and the pre-processed data from the data storage module, and obtain the processing and analysis results after processing and analyzing the retrieved information data;

[0010] Analysis management result display module: used to display the processing analysis results obtained by the analysis management module for management personnel to view;

[0011] Network module: used to establish a network link so that data can be transmitted on the network link.

[0012] Furthermore, the recent data collection module includes: a weather information collection module, a temperature information collection module and a human flow information collection module;

[0013] Weather information collection module: used to collect weather information data of scenic spots every day within a period of time;

[0014] Temperature information collection module: used to collect the average temperature information data of the scenic spot every day within a period of time;

[0015] Crowd flow information collection module: used to collect daily crowd flow information data of the scenic spot over a period of time.

[0016] Furthermore, the historical data collection module includes: a weather information collection module, a temperature information collection module and a sports event response degree information collection module;

[0017] Weather information collection module: used to collect daily weather information data of the same theme scenic spot in the same historical time period;

[0018] Temperature information collection module: used to collect the average temperature information data of the same theme scenic spot every day in the same historical time period;

[0019] Sports event response level information collection module: used to collect response level information of sports events held during the same historical time period.

[0020] Furthermore, the data preprocessing module includes: a historical data retrieval module, a comprehensive processing and analysis module, and an analysis result feedback module;

[0021] Historical data retrieval module: used to retrieve from the data storage module the weather and average temperature of the same theme scenic spot every day in the same historical time period, as well as the response level of the sports events held during the period, which are collected by the historical data collection module;

[0022] Comprehensive processing and analysis module: used to comprehensively process and analyze the information data retrieved by the historical data retrieval module, so as to obtain the comprehensive scores of sports events held in each scenic spot with the same theme during the same historical time period;

[0023] Analysis result feedback module: used to return the comprehensive scores of sports events held in each scenic spot with the same theme during the same historical time period obtained by the comprehensive processing and analysis module to the data storage module for storage.

[0024] Furthermore, when the comprehensive processing and analysis module performs comprehensive processing and analysis on the information data retrieved by the historical data retrieval module, the weather is first divided into four categories: sunny, cloudy, overcast, and rainy, and a specified score is assigned to each category of weather; the temperature is divided into four categories: -10 to 0°C, 1 to 10°C, 11 to 20°C, and 21 to 30°C, and a specified score is assigned to each temperature; the response to the sports events held during the same time period in history is reflected by the number of participants and the subsequent evaluation information, and the evaluation information is divided into two categories: satisfied and dissatisfied, and a specified score is assigned to each category of evaluation information; then the above information data is comprehensively processed and analyzed, so that the comprehensive score of the sports events held in each same theme scenic spot during the same time period in history can be obtained as follows:

[0025]

[0026] Among them, S j is the comprehensive score of sports events held in each scenic spot with the same theme during the same period of history, zd is the total number of days in the same period of history, Z is the total number of people participating in the sports event, For each scenic spot with the same theme, the score of the weather W for each day, is the score of temperature T for each same theme scenic spot j every day, SC i Give each participant i an evaluation score for the sports event.

[0027] Furthermore, the analysis management module includes: a recent and pre-processed data retrieval module, a core processing and analysis module, a comparison and matching module, and a result feedback module;

[0028] Recent and pre-processed data retrieval module: used to retrieve the weather, average temperature and passenger flow information of the scenic spot every day within a period of time collected by the recent data collection module from the data storage module, and at the same time retrieve the comprehensive score data of the sports events held in each scenic spot with the same theme during the same historical time period obtained by the data pre-processing module;

[0029] Core processing and analysis module: used to process and analyze the weather, average temperature and passenger flow information of the scenic spot every day within a period of time, so as to obtain the comprehensive score of the sports events held in the current scenic spot;

[0030] Comparison and matching module: Match and compare the comprehensive score of the sports events held in the current scenic spot obtained by the core processing and analysis module with the comprehensive score data of the sports events held in each scenic spot with the same theme during the same historical time period, so as to find the sports event held in each scenic spot with the comprehensive score closest to the comprehensive score of the sports event held in the current scenic spot;

[0031] Result feedback module: used to feed back the sports events found by the comparison and matching module to the analysis management result display module.

[0032] Furthermore, in the process of data analysis and matching, the analysis management module first divides the weather into four categories: sunny, cloudy, overcast, and rainy, and assigns a specified score to each category of weather; divides the temperature into four categories: -10 to 0°C, 1 to 10°C, 11 to 20°C, and 21 to 30°C, and assigns a specified score to each category of temperature. Then, the core processing and analysis module processes and analyzes the weather, average temperature, and flow of people in the scenic area every day within a period of time collected by the recent data collection module, thereby obtaining a comprehensive score for the sports events held in the current scenic area:

[0033]

[0034] Among them, F is the comprehensive score of sports events held in the current scenic spot, A is the total number of days in a period of time, is the score of the weather and temperature of the current scenic spot every day, D n is the current daily flow of people in the scenic spot;

[0035] Then, the comprehensive score F of the sports events held in the current scenic spot is compared with the comprehensive score S of the sports events held in each scenic spot with the same theme during the same period of history through the comparison matching module. j The data is matched and compared if:

[0036] |FS j |≤μ

[0037] It is determined that the current scenic spot is suitable for holding several sports events held in the same theme scenic spot; where μ is a preset threshold parameter; if there are more than two suitable sports events, the following conditions will be met based on the historical number of participants and the current flow of people in the scenic spot:

[0038]

[0039] Determine that the current scenic spot cannot host the sports event being judged and remove it; where max is the maximum capacity of the current scenic spot; then feedback the remaining sports events with the largest number of participants and the best reverse performance as the comparison matching results.

[0040] Furthermore, the system also includes an authorization system access module, which is used to connect the authorized third-party system to the system and establish a network link with the system through the network module, so as to obtain the information data displayed by the analysis management result display module.

[0041] The beneficial effects of the intelligent cultural tourism sports management system based on AI big data of the present invention are as follows: after comprehensive analysis of the weather, average temperature and the response degree of the sports events held during the same period of history in the same theme scenic spot every day, the comprehensive score of the sports events held is obtained; then the weather, average temperature and flow of people in the current scenic spot every day for a period of time are used to obtain the estimated comprehensive score of the sports events held; then the estimated comprehensive score is compared and matched with the comprehensive score, so that the conditions of the current scenic spot are suitable for holding sports events, and the results are fed back to the management personnel, so that the management personnel can accurately manage the combination of culture, tourism and sports effectively. And it can play an auxiliary role when the management personnel formulate the strategy of the sports events in the scenic spot, so that the management personnel can accurately formulate the strategy of the sports events to be held in the scenic spot, and avoid the pure manual reliance on work experience to formulate the strategy of the sports events held in the scenic spot, which is easy to cause people's low enthusiasm for participation or low response, thereby causing public resources to be unable to be fully utilized and waste public resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0043] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0044] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0045] According to one aspect of the present invention, Figure 1 As shown, a smart cultural tourism sports management system based on AI big data is provided, and a data acquisition unit is linked to an Internet big database system through a network module. Then the weather information acquisition module, temperature information acquisition module and traffic information acquisition module in the recent data acquisition module in the data acquisition unit respectively collect the weather, average temperature and traffic information data of the current scenic spot every day in the recent period of time (the time period can be set by the management personnel, such as the last half month, one month, two months, etc.) from the Internet big database system. At the same time, the weather information acquisition module, temperature information acquisition module and sports event response degree information acquisition module in the historical data acquisition module respectively collect the weather, average temperature and response degree information data of the sports events held during the same historical time period for each scenic spot with the same theme every day (the number of participants and post-evaluation information reflect the response degree of the sports events).

[0046] Then, the information data collected by the data acquisition unit is written into the data storage module through the information data writing module, and is saved through the data storage module. At the same time, the historical data retrieval module in the data preprocessing module will retrieve the daily weather, average temperature and response level of the sports events held during the same historical time period for each scenic spot with the same theme collected by the historical data acquisition module from the data storage module, and submit it to the comprehensive processing and analysis module for comprehensive processing and analysis. During the comprehensive processing and analysis process, the weather is first divided into four categories: sunny, cloudy, overcast and rainy, and each category of weather is assigned a score of 4, 3, 2 and 1 respectively. Among them, sunny to cloudy, cloudy to sunny, overcast to sunny, and sunny to overcast are judged based on the daytime light time. If the daytime light time occupies 1 / 2 or more of the daytime time, the current weather is judged to be sunny, otherwise the current weather is judged to be cloudy. The weather is cloudy or overcast; similarly, sunny to rainy, overcast to rainy, and overcast to rainy are judged based on the rainy time during the day. If the rainy time during the day occupies 1 / 2 or more of the daytime, the current weather is judged to be rainy, otherwise the current weather is judged to be cloudy, overcast, or sunny; the temperature is divided into four levels: -10~0℃, 1~10℃, 11~20℃, and 21~30℃, and each temperature is assigned a score of 4, 3, 2, and 1 respectively; the evaluation information is divided into two levels: satisfactory and unsatisfactory, and each evaluation information is assigned a score of 10 and 0 respectively; then the above information data is comprehensively processed and analyzed, so that the comprehensive score of the sports events held in each same theme scenic spot during the same historical time period can be obtained as follows:

[0047]

[0048] Among them, S jis the comprehensive score of sports events held in each scenic spot with the same theme during the same period of history, zd is the total number of days in the same period of history, Z is the total number of people participating in the sports event, For each scenic spot with the same theme, the score of the weather W for each day, is the score of temperature T for each same theme scenic spot j every day, SC i The evaluation score of each participant i on the sports event is obtained. The comprehensive score S of each sports event held in the same theme scenic spot during the same historical time period is returned through the analysis result feedback module. j The data is sent back to the data storage module for storage.

[0049] Then, the recent and pre-processed data retrieval module in the analysis management module retrieves the weather, average temperature and flow of people in the scenic area every day collected by the recent data collection module from the data storage module, and retrieves the comprehensive score data S of the sports events held in each scenic area with the same theme during the same historical time period obtained by the data pre-processing module. j , and handed over to the core processing and analysis module for processing and analysis. In the process of processing and analysis, firstly, according to the above settings, the weather and temperature are divided into four categories and assigned scores respectively. Then, the weather, average temperature and flow of people in the scenic area every day collected by the recent data collection module in a period of time are processed and analyzed, so as to obtain the comprehensive score of the sports events held in the current scenic area:

[0050]

[0051] Among them, F is the comprehensive score of sports events held in the current scenic spot, A is the total number of days in a period of time, is the score of the weather and temperature of the current scenic spot every day, D n is the number of people in the current scenic spot every day. Then, through the comparison and matching module, the comprehensive score F of the sports events held in the current scenic spot is compared with the comprehensive score S of the sports events held in each scenic spot with the same theme during the same period of time in history. j The data is matched and compared if:

[0052] |FS j |≤μ

[0053] It is determined that the current scenic spot is suitable for holding several sports events held in the same theme scenic spot; where μ is a preset threshold parameter; if there are more than two suitable sports events, the following conditions will be met based on the historical number of participants and the current flow of people in the scenic spot:

[0054]

[0055] Determine that the current scenic spot cannot host the sports event being judged and remove it; where max is the maximum capacity of the current scenic spot; then the remaining sports events with the largest number of participants and the best reverse performance are fed back to the analysis management result display module through the result feedback module as the comparison matching results for display, so that the management personnel can manage the cultural tourism sports according to the feedback results and accurately formulate the sports events to be held in the scenic spot.

[0056] In addition, the third-party authorization system can establish a network link with this system through the authorization system access module using the network module, so that feedback results can be obtained from the analysis management result display module.

[0057] The electrical components that appear in this article are all electrical components that exist in reality.

[0058] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A smart cultural tourism and sports management system based on AI big data, characterized in that: include: Data collection and acquisition unit, information data writing module, data storage module, data preprocessing module, analysis and management module, analysis and management result display module and network module; wherein: Data acquisition unit: used to collect information data within a period of time from the Internet big database system; it includes a recent data acquisition module and a historical data acquisition module; the recent data acquisition module is used to collect and obtain the weather, temperature and flow of people in the scenic area every day within a period of time from the Internet big database system; the historical data acquisition module is used to collect the weather, temperature and response level of the sports events held in the same theme scenic area every day in the same historical period of time from the Internet big database system; Information data writing module: used to write the information data collected and acquired by the information data acquisition unit into the data storage module; Data storage module: used for receiving the information data written by the information data writing module and storing the written information data; Data preprocessing module: used to retrieve the historical information data collected by the historical data collection module from the data storage module, and pre-process and analyze it to obtain the preprocessing results, and then return the obtained preprocessing results to the data storage module for storage; Analysis management module: used to retrieve the information data collected by the latest data collection module and the pre-processed data from the data storage module, and obtain the processing and analysis results after processing and analyzing the retrieved information data; Analysis management result display module: used to display the processing analysis results obtained by the analysis management module for management personnel to view; Network module: used to establish a network link so that data can be transmitted on the network link.

2. According to claim 1, a smart cultural tourism and sports management system based on AI big data is characterized by: The recent data collection module includes: a weather information collection module, a temperature information collection module and a human flow information collection module; Weather information collection module: used to collect weather information data of scenic spots every day within a period of time; Temperature information collection module: used to collect the average temperature information data of the scenic spot every day within a period of time; Crowd flow information collection module: used to collect daily crowd flow information data of the scenic spot over a period of time.

3. According to claim 1, a smart cultural tourism and sports management system based on AI big data is characterized by: The historical data collection module includes: a weather information collection module, a temperature information collection module and a sports event response degree information collection module; Weather information collection module: used to collect daily weather information data of the same theme scenic spot in the same historical time period; Temperature information collection module: used to collect the average temperature information data of the same theme scenic spot every day in the same historical time period; Sports event response level information collection module: used to collect response level information of sports events held during the same historical time period.

4. According to claim 1, a smart cultural tourism and sports management system based on AI big data is characterized by: The data preprocessing module includes: a historical data retrieval module, a comprehensive processing and analysis module, and an analysis result feedback module; Historical data retrieval module: used to retrieve from the data storage module the weather and average temperature of the same theme scenic spot every day in the same historical time period, as well as the response level of the sports events held during the period, which are collected by the historical data collection module; Comprehensive processing and analysis module: used to comprehensively process and analyze the information data retrieved by the historical data retrieval module, so as to obtain the comprehensive scores of sports events held in each scenic spot with the same theme during the same historical time period; Analysis result feedback module: used to return the comprehensive scores of sports events held in each scenic spot with the same theme during the same historical time period obtained by the comprehensive processing and analysis module to the data storage module for storage.

5. According to claim 4, a smart cultural tourism and sports management system based on AI big data is characterized by: When the comprehensive processing and analysis module performs comprehensive processing and analysis on the information data retrieved by the historical data retrieval module, the weather is first divided into four categories: sunny, cloudy, overcast, and rainy, and a specified score is assigned to each category of weather; the temperature is divided into four categories: -10 to 0°C, 1 to 10°C, 11 to 20°C, and 21 to 30°C, and a specified score is assigned to each temperature; the response level of the sports events held during the same time period in history is reflected by the number of participants and the subsequent evaluation information, and the evaluation information is divided into two categories: satisfied and dissatisfied, and a specified score is assigned to each category of evaluation information; then the above information data is comprehensively processed and analyzed, so as to obtain the comprehensive score of the sports events held in each same theme scenic spot during the same time period in history: Among them, S j is the comprehensive score of sports events held in each scenic spot with the same theme during the same period of history, zd is the total number of days in the same period of history, Z is the total number of people participating in the sports event, For each scenic spot with the same theme, the score of the weather W for each day, is the score of temperature T for each same theme scenic spot j every day, SC i Give each participant i an evaluation score for the sports event.

6. According to claim 5, a smart cultural tourism and sports management system based on AI big data is characterized by: The analysis management module includes: a recent and pre-processing data retrieval module, a core processing and analysis module, a comparison and matching module, and a result feedback module; Recent and pre-processed data retrieval module: used to retrieve the weather, average temperature and passenger flow information of the scenic spot every day within a period of time collected by the recent data collection module from the data storage module, and at the same time retrieve the comprehensive score data of the sports events held in each scenic spot with the same theme during the same historical time period obtained by the data pre-processing module; Core processing and analysis module: used to process and analyze the weather, average temperature and passenger flow information of the scenic spot every day within a period of time, so as to obtain the comprehensive score of the sports events held in the current scenic spot; Comparison and matching module: Match and compare the comprehensive score of the sports events held in the current scenic spot obtained by the core processing and analysis module with the comprehensive score data of the sports events held in each scenic spot with the same theme during the same historical time period, so as to find the sports event held in each scenic spot with the comprehensive score closest to the comprehensive score of the sports event held in the current scenic spot; Result feedback module: used to feed back the sports events found by the comparison and matching module to the analysis management result display module.

7. According to claim 6, a smart culture, tourism and sports management system based on AI big data is characterized by: In the process of data analysis and matching, the analysis management module first divides the weather into four categories: sunny, cloudy, overcast, and rainy, and assigns a specified score to each category of weather; divides the temperature into four categories: -10 to 0°C, 1 to 10°C, 11 to 20°C, and 21 to 30°C, and assigns a specified score to each category of temperature. Then, the core processing and analysis module processes and analyzes the weather, average temperature, and flow of people in the scenic area every day within a period of time collected by the recent data collection module, thereby obtaining the comprehensive score of the sports events held in the current scenic area: Among them, F is the comprehensive score of sports events held in the current scenic spot, A is the total number of days in a period of time, is the score of the weather and temperature of the current scenic spot every day, D n is the current daily flow of people in the scenic spot; Then, the comprehensive score F of the sports events held in the current scenic spot is compared with the comprehensive score S of the sports events held in each scenic spot with the same theme during the same period of history through the comparison matching module. j The data is matched and compared if: |F-S j |≤μ It is determined that the current scenic spot is suitable for holding several sports events held in the same theme scenic spot; where μ is a preset threshold parameter; if there are more than two suitable sports events, the following conditions will be met based on the historical number of participants and the current flow of people in the scenic spot: Determine that the current scenic spot cannot host the sports event being judged and remove it; where max is the maximum capacity of the current scenic spot; then feedback the remaining sports events with the largest number of participants and the best response as the comparison matching results.

8. According to claim 1, a smart culture, tourism and sports management system based on AI big data is characterized by: The system also includes an authorization system access module, which is used to access the authorized third-party system to the system and establish a network link with the system through the network module, so as to obtain the information data displayed by the analysis management result display module.

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