CN114579911A - Big data-based tourism management platform - Google Patents
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Abstract
The invention relates to the field of tourism management, in particular to a tourism management platform based on big data, which comprises a tourism information publishing module, a tourism area dynamic display module, a tourism area dynamic flow limiting management module, a tourism area safety monitoring module, a tourism area surrounding road condition management module, a tourism preference positioning module, a platform interface customizing module and a scenic area project intelligent queuing module, wherein the tourism information publishing module is used for crawling the latest information published by a tourism information publishing base station of each country and region through a web crawler module, so that the real-time updating and publishing of the related tourism information of each tourist destination is realized; the invention has multiple functions and high intelligent degree, can realize the monitoring and intelligent intervention of the scenic spot people flow and the safety monitoring of the scenic spot, and can greatly improve the tourism experience of the user.
Description
Technical Field
The invention relates to the field of tourism management, in particular to a tourism management platform based on big data.
Background
The travel management platform is a social system in which travel management elements, which interact with each other and are dependent on each other within management objects, are organized by a travel manager in order to achieve a predetermined travel management goal.
At present, the existing tourism management platform has single function and low intelligent degree, can only realize the initial statistics of the number of tourists in scenic spots and scenic spots, and lacks the control intervention and safety monitoring on the pedestrian volume of the scenic spots. Meanwhile, the updating of the travel information has hysteresis.
Disclosure of Invention
In order to solve the problems, the invention provides a tourism management platform based on big data, which has multiple functions and high intelligent degree, can realize the monitoring and intelligent intervention of the pedestrian flow in scenic spots and the safety monitoring of the scenic spots, and can greatly improve the tourism experience of users.
In order to achieve the purpose, the invention adopts the technical scheme that:
a big data based travel management platform, comprising:
the tourism information publishing module is used for crawling the latest information published by the tourism information publishing base stations of various countries and regions through the web crawler module to realize the real-time updating and publishing of the related tourism information of each tourist destination;
the tourist attraction dynamic display module is used for realizing dynamic simulation display of the current states of all tourist attractions by taking a three-dimensional tourist attraction map as a background and a three-dimensional human body dynamic model as a driving object, and a user can input a corresponding control command as required to obtain the pedestrian volume and waiting time of each scenic spot;
the tourist attraction dynamic flow limiting management module is used for realizing the statistics of the current tourist attraction person flow rate by crawling sold sight spot ticket information of each ticketing platform base station, and automatically sending corresponding target tourist attraction flow limiting announcement to each ticketing platform to stop selling the tickets in the corresponding time period when the counted tourist attraction person flow rate exceeds a preset highest threshold value; when the counted tourist attraction people flow is lower than a preset minimum threshold value, automatically sending corresponding target tourist attraction ticket preferential packages to each ticketing platform, and promoting the selling of tickets in a corresponding time period in a preferential drainage mode;
and the tourist attraction safety monitoring module is used for realizing the identification and feedback of dangerous behaviors of each tourist attraction in a monitoring mode of an automatic tracking camera.
Further, the related travel information comprises the opening time of the destination, preferential policies and travel rules.
Furthermore, each web crawler module in the travel information publishing module is configured with a data mining model, each data mining model corresponds to a different travel destination, and each data mining model is configured with a corresponding information time dynamic limiting model for limiting the time interval of the latest information crawled by the web crawler module, and when data crawling is completed once, updating of the time interval of the latest information is completed once, and the latest time loaded in the crawled data is used as the time starting point threshold value of the latest information crawled next time.
Further, still include:
and the tourist attraction peripheral road condition management module is used for acquiring the peripheral road condition information of each tourist attraction by accessing the navigation software base station, and then sending a corresponding tourist route change request or a tourist time change request to the user about to go to according to the real-time feedback of the peripheral road condition information of the tourist attraction for the purpose of relieving traffic jam.
Further, still include: and the tourism preference positioning module is used for inquiring browsing records by summarizing and analyzing the tourism data of the user on each large network base station so as to realize the positioning of the tourism preference of the user.
Further, still include: and the platform interface customizing module is used for customizing the platform interface according to the preference positioning result of the travel preference positioning module and the platform function requirement selected by the user.
Further, still include:
the intelligent queuing module for the scenic spot projects is used for realizing the on-off of the intelligent queuing function of the scenic spot according to the time required by the number of the arranged scenic spot projects, the information of the current position of the user, the estimated time required for the project of the current scenic spot, the on-line queuing time required for the project of the current scenic spot, and the estimated time required for the project of the queued scenic spot, after the intelligent queuing function of the scenic spot is started, the user can enter an on-line number-taking queuing interface of the current scenic spot, after the number-taking is successful, the on-line queuing of the current scenic spot can be realized, when the waiting time required is less than 10min, the platform automatically sends a corresponding notification short message to the user to remind the user to prepare in advance, and if the user does not enter the scenic spot after time out, the on-line queuing is invalidated.
The invention has the following beneficial effects:
1) the intelligent real-time updating of the platform tourism information can be realized, and the influence on smooth travel of the user due to the hysteresis of the tourism information can be well avoided;
2) the method and the system can realize monitoring and intelligent intervention of the pedestrian volume and the road conditions around the scenic spot, thereby avoiding excessive congestion of the pedestrian volume and the road conditions around the scenic spot as much as possible and improving the user experience. .
3) The platform interface can be customized according to the travel preferences of different users, so that the platform function requirements of different users can be met, and the success rate of signing travel orders can be improved.
4) The intelligent queuing function of the scenic spot projects is provided, so that the condition that a user spends a large amount of time in queuing at a certain scenic spot project can be avoided, a large amount of gathering of the user is well avoided, and the user experience is further improved.
Drawings
FIG. 1 is a system block diagram of a big data based travel management platform according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a big data based travel management platform, including:
the registration login module is used for registering and logging in users and configuring a corresponding identity authentication model and a data storage folder for each user;
the tourism information publishing module is used for crawling the latest information published by the tourism information publishing base stations of various countries and regions through the web crawler module to realize the real-time updating and publishing of the related tourism information of each tourist destination;
the tourist attraction dynamic display module is used for realizing dynamic simulation display of the current states of all tourist attractions by taking a three-dimensional tourist attraction map as a background and a three-dimensional human body dynamic model as a driving object, and a user can input a corresponding control command as required to obtain the pedestrian volume and waiting time of each scenic spot;
the tourist attraction dynamic flow limiting management module is used for realizing the statistics of the current tourist attraction person flow rate by crawling sold sight spot ticket information of each ticketing platform base station, and automatically sending corresponding target tourist attraction flow limiting announcement to each ticketing platform to stop selling the tickets in the corresponding time period when the counted tourist attraction person flow rate exceeds a preset highest threshold value; when the counted tourist attraction people flow is lower than a preset minimum threshold value, automatically sending corresponding target tourist attraction ticket preferential packages to each ticketing platform, and promoting the selling of tickets in a corresponding time period in a preferential drainage mode; it is worth noting that even the free tourist attractions need to be configured with corresponding free tickets, so that the situation that the traffic of people in the free tourist attractions cannot be counted can be avoided;
the tourist attraction safety monitoring module is used for realizing the identification and feedback of dangerous behaviors of each tourist attraction in a monitoring mode of an automatic tracking camera;
and the tourist attraction peripheral road condition management module is used for acquiring the peripheral road condition information of each tourist attraction by accessing the navigation software base station, and then sending a corresponding tourist route change request or a tourist time change request to the user about to go to according to the real-time feedback of the peripheral road condition information of the tourist attraction for the purpose of relieving traffic jam. The tourism route changing request aims at changing the tourism destination, a user can select a corresponding tourism destination from the tourism destinations without the condition of congestion of surrounding road conditions and the condition of ultrahigh pedestrian volume, the previously purchased scenic spot tickets are automatically refunded, and meanwhile, the user can obtain corresponding compensation after receiving the corresponding request, such as discount compensation of the changed tourism destination tickets, house fee discount compensation of the currently resident hotel, meal fee tickets and the like.
And the tourism preference positioning module is used for inquiring browsing records by summarizing and analyzing the tourism data of the user on each large network base station so as to realize the positioning of the tourism preference of the user.
And the platform interface customizing module is used for customizing the platform interface according to the preference positioning result (mainly relating to tourist attraction pictures, videos, travel notes and the like displayed on the platform interface) of the tourist preference positioning module and the platform function requirement selected by the user.
The intelligent queuing module of the scenic spot project is used for realizing the opening and closing of the intelligent queuing function of the scenic spot according to the time required by the number of the arranged scenic spot projects of the current scenic spot project, the information of the current position of the user, the estimated time required by the project of the current scenic spot, the waiting time required by the project of the current scenic spot which is in progress, and the estimated time required by the project of the queued scenic spot, wherein the time required by the number of the arranged scenic spot projects is earlier than the business stopping time of the scenic spot, the information of the current position of the user and the estimated time required by the project of the current scenic spot which is in progress are used for confirming the time required by the user to arrive at the target scenic spot, when the required time is shorter than the time required by the number of the arranged scenic spot projects, and the waiting time required by the project of the queued scenic spot which is in progress by the user is not conflicted with the time required by the number of the arranged scenic spot projects in progress, can open scenic spot intelligent queuing function) after the scenic spot intelligent queuing function is opened, the user can enter the online number taking queuing interface of the current scenic spot, after the number taking is successful, the online queuing of the current scenic spot can be realized, when the waiting time required is less than 10min, the platform automatically sends a corresponding notification short message to the user to remind the user to prepare in advance, and if the user does not enter the scenic spot after time out, the online queuing is invalidated.
In this embodiment, the related travel information includes the opening time of the destination, a preferential policy, and travel rules (certificates to be carried, etc.).
In this embodiment, each web crawler module in the travel information publishing module is configured with a data mining model, each data mining model corresponds to a different travel destination, and each data mining model is configured with a corresponding information time dynamic limiting model for limiting a time interval of the latest information crawled by the web crawler module, and when data crawling is completed once, updating of the time interval of the latest information is completed once, and the latest time loaded in the crawled data is used as a time starting point threshold of the latest information crawled next time. And realizing real-time updating and publishing of the related travel information of each travel destination based on a preset template.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (7)
1. The utility model provides a tourism management platform based on big data which characterized in that: the method comprises the following steps:
the tourism information publishing module is used for crawling the latest information published by the tourism information publishing base stations of various countries and regions through the web crawler module to realize the real-time updating and publishing of the related tourism information of each tourist destination;
the tourist attraction dynamic display module is used for realizing dynamic simulation display of the current states of all tourist attractions by taking a three-dimensional tourist attraction map as a background and a three-dimensional human body dynamic model as a driving object, and a user can input a corresponding control command as required to obtain the pedestrian volume and waiting time of each scenic spot;
the tourist attraction dynamic flow limiting management module is used for realizing the statistics of the current tourist attraction person flow rate by crawling sold sight spot ticket information of each ticketing platform base station, and automatically sending corresponding target tourist attraction flow limiting announcement to each ticketing platform to stop selling the tickets in the corresponding time period when the counted tourist attraction person flow rate exceeds a preset highest threshold value; when the counted tourist attraction people flow is lower than a preset minimum threshold value, automatically sending corresponding target tourist attraction ticket preferential packages to each ticketing platform, and promoting the selling of tickets in a corresponding time period in a preferential drainage mode;
and the tourist attraction safety monitoring module is used for realizing the identification and feedback of dangerous behaviors of each tourist attraction in a monitoring mode of an automatic tracking camera.
2. The big-data based travel management platform as claimed in claim 1, wherein: the related travel information comprises the opening time of the destination, preferential policy and travel rule.
3. The big-data based travel management platform as claimed in claim 1, wherein: each web crawler module in the tourism information publishing module is provided with a data mining model, each data mining model corresponds to different tourism destinations, and meanwhile, each data mining model is provided with a corresponding information time dynamic limiting model for limiting the time interval of the latest information crawled by the web crawler module, updating of the time interval of the latest information is completed once data crawling is completed every time, and the latest time loaded in the crawled data is used as the time starting point threshold value of the latest information crawled next time.
4. The big-data based travel management platform as claimed in claim 1, wherein: further comprising:
and the tourist attraction peripheral road condition management module is used for acquiring the peripheral road condition information of each tourist attraction by accessing the navigation software base station, and then sending a corresponding tourist route change request or a tourist time change request to the user about to go to according to the real-time feedback of the peripheral road condition information of the tourist attraction for the purpose of relieving traffic jam.
5. The big-data based travel management platform as claimed in claim 1, wherein: further comprising: and the tourism preference positioning module is used for inquiring browsing records by summarizing and analyzing the tourism data of the user on each large network base station so as to realize the positioning of the tourism preference of the user.
6. The big-data based travel management platform as claimed in claim 5, wherein: further comprising: and the platform interface customizing module is used for customizing the platform interface according to the preference positioning result of the travel preference positioning module and the platform function requirement selected by the user.
7. The big-data based travel management platform as claimed in claim 1, wherein: further comprising:
the intelligent queuing module for the scenic spot projects is used for realizing the on-off of the intelligent queuing function of the scenic spot according to the time required by the number of the arranged scenic spot projects, the information of the current position of the user, the estimated time required for the project of the current scenic spot, the on-line queuing time required for the project of the current scenic spot, and the estimated time required for the project of the queued scenic spot, after the intelligent queuing function of the scenic spot is started, the user can enter an on-line number-taking queuing interface of the current scenic spot, after the number-taking is successful, the on-line queuing of the current scenic spot can be realized, when the waiting time required is less than 10min, the platform automatically sends a corresponding notification short message to the user to remind the user to prepare in advance, and if the user does not enter the scenic spot after time out, the on-line queuing is invalidated.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210211328.2A CN114579911A (en) | 2022-03-05 | 2022-03-05 | Big data-based tourism management platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210211328.2A CN114579911A (en) | 2022-03-05 | 2022-03-05 | Big data-based tourism management platform |
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| CN114579911A true CN114579911A (en) | 2022-06-03 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117390249A (en) * | 2023-12-12 | 2024-01-12 | 中国测绘科学研究院 | Theme park operation monitoring method and system based on network big data |
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2022
- 2022-03-05 CN CN202210211328.2A patent/CN114579911A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117390249A (en) * | 2023-12-12 | 2024-01-12 | 中国测绘科学研究院 | Theme park operation monitoring method and system based on network big data |
| CN117390249B (en) * | 2023-12-12 | 2024-03-12 | 中国测绘科学研究院 | Theme park operation monitoring method and system based on network big data |
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