CN113961699A - Tourism resource investigation method and system - Google Patents
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Abstract
The application relates to a method and a system for investigating tourism resources, which belong to the field of tourism, and the method for investigating the tourism resources comprises the steps of obtaining big data of tourism information, name information of tourism places and a preset incidence relation sequence table; screening the big data of the travel information according to the name information of the travel place to obtain associated information; identifying the association information according to the association relation sequence table to obtain specific content information; and carrying out visual processing on the specific content information and integrating to generate a travel resource report. The application has the effect of providing accurate and comprehensive information of the tourist area.
Description
Technical Field
The application relates to the field of tourism, in particular to a tourism resource investigation method and system.
Background
With the development of science and technology, the national strength is steadily improved; the improvement of the living standard of people also brings about the improvement of the living quality, so that more and more people choose to travel during the holiday period; in view of the above, the inventors found that: due to the fact that China is wide in region, a plurality of tourist sites can be selected, and related information of each tourist site is complex, not only are it difficult for tourist planners and scenic spot managers to screen and analyze related information of tourist sites, but also tourists are often difficult to decide when selecting tourist sites; the tourism resource information searched on the network is relatively comprehensive, and tourism planning personnel, scenic spot management personnel and tourists are difficult to screen out accurate and comprehensive information.
Disclosure of Invention
The application provides a method and a system for investigating tourism resources, which have the characteristic of providing accurate and comprehensive information of a tourism area.
The application aims to provide a tourism resource investigation method.
The above object of the present application is achieved by the following technical solutions:
a tourism resource investigation method comprises the following steps:
acquiring big data of the travel information, name information of the travel place and a preset incidence relation sequence table;
screening the big data of the travel information according to the name information of the travel place to obtain associated information;
identifying the association information according to the association relation sequence table to obtain specific content information;
and carrying out visual processing on the specific content information and integrating to generate a travel resource report.
By adopting the technical scheme, the tourism information big data is firstly obtained, and because the tourism information is wide in content and complex, the tourism information big data is firstly classified according to the name information of the tourism place, then the further identification and classification are carried out according to the incidence relation sequence table, the specific content information of the tourism place is finally obtained, and then the specific content information is subjected to visualization processing to generate a tourism resource report; through the tourism resource report, people can know the accurate and comprehensive information of the tourism area, and the information of the tourism area can be obviously seen through the forms of charts and the like.
In a preferred example of the present application, the method for obtaining a preset association sequence table may further include:
acquiring a category keyword;
obtaining branch keywords according to the category keywords;
generating a plurality of associated keywords related to the branch keywords according to the branch keywords;
and sequencing the associated keywords according to the association degree of the associated keywords and the branch keywords to obtain an association relation sequence table.
By adopting the technical scheme, the branch keywords are obtained according to the category keywords, the related associated keywords are generated according to the branch keywords, and then the associated keywords and the branch keywords are sorted according to the association degree, so that the association relation sequence table is finally obtained.
In a preferred example, the method for obtaining the associated information by filtering the big data of the travel information according to the name information of the travel location may further include: the tourism information big data is identified through a voice identification technology, a character identification technology and an image identification technology, and the associated information containing the name information of the tourism place is obtained.
By adopting the technical scheme, the tourism information big data can be recognized in an all-around manner according to the voice recognition technology, the character recognition technology and the image recognition technology, and the comprehensiveness of the associated information is improved.
The present application may be further configured in a preferred example to: the category keywords include a basic information keyword of the travel place, a peripheral information keyword of the travel place, and an evaluation information keyword of the travel place.
By adopting the technical scheme, the category keywords mainly comprise basic information, peripheral information and evaluation information of the tourist sites.
In a preferred example, the method for obtaining specific content information after identifying the association information according to the association relation sequence table may further include:
obtaining a related information keyword according to the related information;
matching the associated information keywords with the keywords in the association relation sequence table;
when the matching is successful, the associated information keywords are marked as specific content keywords;
the plurality of specific content keywords are combined to form specific content information.
By adopting the technical scheme, the associated information is firstly identified by utilizing a keyword identification technology to obtain associated information keywords, then the associated information keywords are matched with the associated keywords, if the matching is successful, the associated information keywords belong to the specific content information, the associated information keywords are marked as the specific content keywords, and finally the specific content information is formed by combining a plurality of specific content keywords.
In a preferred example, the method for obtaining the report of the travel resource after performing the visualization processing and the integration on the specific content information may further include: and carrying out visualization processing on the specific content information according to an image processing technology.
By adopting the technical scheme, the specific content information is visually processed by utilizing the image processing technology, and the character information is converted into the image information, so that the image information is convenient to view.
The present application may be further configured in a preferred example to: the mode of acquiring the big data of the travel information is to acquire the big data of the travel information through a crawler.
Through adopting above-mentioned technical scheme, utilize the reptile to acquire tourism information big data, the information of acquireing is comparatively comprehensive.
The second purpose of the application is to provide a tourism resource investigation system.
The second application object of the present application is achieved by the following technical scheme:
a travel resource survey system comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring big data of the travel information, name information of the travel place and a preset incidence relation sequence table;
the screening module is used for screening the big data of the travel information according to the name information of the travel place to obtain the associated information;
the identification module is used for identifying the association information according to the association relation sequence table to obtain specific content information;
and the processing module is used for performing visual processing on the specific content information and integrating the specific content information to obtain a tour resource report.
In summary, the present application includes at least one of the following beneficial technical effects:
the method comprises the steps of firstly obtaining tourism information big data, then carrying out classification screening on the tourism information big data twice through tourism place name information and an association relation sequence table respectively to finally obtain specific content information, and then carrying out visualization processing on the specific content information to generate a tourism resource report, so that accurate and comprehensive information about a tourism area can be obtained through the tourism resource report.
Drawings
FIG. 1 is a flow chart of a method for surveying travel resources in an embodiment of the present application.
FIG. 2 is a schematic structural diagram of a travel resource survey system according to an embodiment of the present application.
Description of reference numerals: 1. an acquisition module; 2. a screening module; 3. an identification module; 4. and a processing module.
Detailed Description
The present embodiment is only for explaining the present application and is not limited to the present application, and those skilled in the art can make modifications without inventive contribution to the present embodiment as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiments of the present application will be described in further detail with reference to the drawings attached to the specification.
Resource investigation and market analysis are important parts in travel planning, and the traditional investigation and analysis process is 'early stage field investigation + later stage internal industry analysis', and the investigation and analysis are asynchronous, so that on one hand, the field experience and objective conditions cannot be verified and checked in real time, and the accuracy of the analysis result is influenced; on the other hand, the later-stage internal analysis information acquisition process is complicated, the analysis processing workload is large, and the required time and labor cost are high. The tourism resource big data platform provided in the embodiment of the application realizes real-time acquisition, storage, analysis and display of tourism resource data, and interacts with a user through APP, so that a researcher can know the basic situation of relevant tourism resource points at any time when investigating a site on site, and a good auxiliary tool is provided for tourism resource investigation.
The method is characterized by opening and integrating the data source of the whole network, introducing a data mining technology into a resource management platform, realizing automatic collection, processing, analysis and visualization of tourism resource data, and constructing a tourism resource big data platform. On this basis, research and development tourism resource investigation APP realizes tourism resource big data platform's proscenium scene and uses, lets the planning team know scenic spot basic condition and market data analysis report fast, fully at the project investigation in-process, in time discovers the problem and reacts, and then provides more scientific and reasonable's planning and guides. Wherein the planning team comprises a tour planner and a scenic spot manager.
The existing tourism resource information chemical industry mainly focuses on the adoption of an informatization means to assist tourism resource census, content covers resource collection, automatic database building, analysis, evaluation, release, display and the like, and the tourism resource information chemical industry is mainly constructed by a top-down static database. The tourism resource big data platform in the embodiment of the application is a dynamic real-time tourism resource platform constructed on the basis of integration and analysis of multi-source data, and the dynamic database comprises tourism resource basic information and tourism element service information thereof, and market thematic information such as tourist images, behavior characteristics, satisfaction evaluation and the like obtained by mining and analyzing the tourism big data, and aims to provide an accurate and efficient information acquisition platform for planning work.
The application also provides a tourism resource investigation method which is applied to a tourism resource sharing platform, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: and acquiring big data of the travel information, name information of the travel place and a preset incidence relation sequence list.
In the embodiment of the application, the tourism information big data is obtained in a crawler mode, and comprehensiveness and integrity of the data are guaranteed by utilizing the crawler to obtain the data; similarly, the information of the names of the tourist sites can be obtained by the crawler, and the information of the names of the tourist sites refers to the names of the tourist sites in each area.
It can be understood that when the big data of the travel information is obtained through the crawler, the crawled data not only comprises disordered data which is not sorted, but also comprises sorted ordered data, and the ordered data comprises travel classification information, travel label information and the like; the travel label information includes a label and related travel information corresponding to the label.
In step S101, a preset association sequence table also needs to be obtained; in the embodiment of the application, the preset incidence relation sequence table may be obtained in the following manner.
1. And acquiring a category keyword.
2. And acquiring branch keywords according to the category keywords.
3. And generating a plurality of associated keywords related to the branch keywords according to the branch keywords.
4. And sequencing the associated keywords according to the association degree of the associated keywords and the branch keywords to obtain an association relation sequence table.
The category keyword herein may be understood as a keyword related to travel, for example, the category keyword in the embodiment of the present application includes a basic information keyword of a travel place, a peripheral information keyword of the travel place, and an evaluation information keyword of the travel place; that is, information related to travel is classified into three categories, basic information, peripheral information, and evaluation information.
The branch keywords can be obtained by further classifying the category keywords, for example, the basic information keywords of the tourist site can include the brief introduction, type, level, address, open time, telephone, distribution of passenger sources, related scenic spots, month of travel, stay time, per capita cost, partnership, gender distribution, and the like of the tourist site; the peripheral information of the tourist site may include gourmet, hotel and play of the tourist site at the periphery of the tourist site; the evaluation information of the tourist site may include a scenic spot evaluation of the tourist site and an evaluation high frequency word.
After the branch keywords are obtained, a plurality of associated keywords related to the branch keywords can be generated according to the branch keywords; for example, the branch keyword is a gender distribution, and the associated keywords related to the gender distribution may include vocabularies such as male, female, male friend, female friend, dad, mom, male friend, female friend, brother, sister, and sister; for another example, if the branch keyword is a tour month, then the associated keywords related to the tour month may include january, february, march, april, etc.; for another example, if the branch keyword is food, the associated keywords related to food may include food, snack, feature food, food street, and some specific food names; for another example, if the branch keyword is a partnership, the associated keywords related to the partnership may include lovers, friends, couples, brothers, sisters, etc.; the vocabularies are all related keywords, a plurality of related keywords are bound according to different branch keywords, and the related keywords are stored in a database.
After obtaining the associated keywords, sorting the associated keywords according to the association degree of the associated keywords and the branch keywords to obtain an association relation sequence table; for example, if the branch related words are gender distribution, the words with the highest association degree with gender are male and female, and all the keywords including the words of male or female are marked as the first priority; the vocabularies such as father, mom, brother, sister-in-law, and sister are marked as a second priority; for another example, if the branch related word is a food, the dish, restaurant, gourmet, restaurant, etc. that are most related to the food are marked as the first priority.
The associated keywords are sequenced in the above mode to obtain an associated relation sequence table, in the associated relation sequence table, each category keyword comprises a plurality of branch keywords, and each branch keyword comprises a plurality of associated keywords arranged in sequence.
It can be understood that, in the embodiment of the application, the tourism resource sharing platform can log in through terminals such as a computer and a mobile phone, and the mode of the platform presented on the mobile phone is APP; no matter tourism planning personnel, scenic spot management personnel or tourists, relevant text information can be input in the APP in a form of logging in the mobile phone APP, or information of relevant tourist spots can be reflected by uploading shot pictures and the like.
It can be understood that, for the arranged travel classification information and the travel label information obtained by the crawler and the like, corresponding keyword information can be obtained according to the travel label information, namely, the label is directly taken as the keyword, and then the related travel information corresponding to the label is further arranged and summarized, so that the convenience and the efficiency of data processing and analysis are improved.
Step S102: and screening the big data of the travel information according to the name information of the travel place to obtain the associated information.
In the embodiment of the application, the tourism information big data is identified through a voice identification technology, a character identification technology and an image identification technology to obtain the associated information containing the name information of the tourism place; it can be understood that the travel information big data not only comprises character information, but also comprises sound information and image information, so that the travel information is conveniently identified by utilizing a voice identification technology, a character identification technology and an image identification technology.
The voice recognition method mainly comprises a mode matching method; in the training stage, a user speaks each word in the vocabulary in sequence, and the characteristic vector of each word is stored in a template library as a template; in the recognition stage, the feature vector of the input voice is compared with each template in the template library in similarity in sequence, and the highest similarity is output as a recognition result.
The Character Recognition technology in the embodiment of the application adopts an OCR (Optical Character Recognition) technology, which refers to a process of inspecting characters printed on paper by an electronic device (such as a scanner or a digital camera), determining the shape of the characters by detecting dark and light patterns, and then translating the shape into computer characters by using a Character Recognition method; the method is characterized in that characters in a paper document are converted into an image file with a black-white dot matrix in an optical mode aiming at print characters, and the characters in the image are converted into a text format through recognition software for further editing and processing by word processing software.
The image recognition is a technology for processing, analyzing and understanding images by using a computer to recognize various targets and objects in different modes, and is a practical application of applying a deep learning algorithm; the traditional image identification process is divided into four steps: image acquisition → image preprocessing → feature extraction → image recognition.
The above techniques are all commonly used technical means in the related field, and are not described herein again.
Step S103: and identifying the association information according to the association relation sequence table to obtain specific content information.
After obtaining the associated information, identifying the associated information by using an associated relation sequence table, and obtaining specific content information; firstly, obtaining a related information keyword according to related information; then matching the associated information keywords with the keywords in the association relation sequence table; when the matching is successful, the associated information keywords are marked as specific content keywords, and a plurality of specific content keywords are combined to form specific content information.
In the embodiment of the application, the associated information can be identified through a voice identification technology, a character identification technology and an image identification technology to obtain associated information keywords; in the following, a specific identification process is illustrated by way of example, for example, if the associated information is "7 month me and parents visit the beijing old palace", then in this associated information, the associated information keyword is "7 month", "parents", "beijing", "old palace"; it can be understood that, in the process of identifying the associated information, invalid information in the associated information is removed, and some words are selected and sorted; for another example, if the associated information is "Wangfu's kendirk is very good at eating", the associated information keywords in the associated information are "Wangfu" and "kendirk".
After obtaining the associated information keywords, matching the associated information keywords with the keywords in the association relation sequence table, and judging whether the associated information keywords are the keywords in the association relation sequence table; for example, in the above example, the associated information keywords are "7 months", "parents", "beijing", "the old house", "the royal well", and "kendiry", and then, of these keywords, "7 months" corresponds to the branching keyword "outbound month" in the association relationship sequence table, and "parents" corresponds to the branching keyword "peer relationship" and "sex distribution" in the association relationship sequence table, and "beijing", "the old house", and "the royal well" are the travel place name information, and "kendir" corresponds to the branching keyword "food" in the association relationship sequence table.
And if the associated information keywords are the keywords in the association relation sequence table, marking the associated information keywords as specific content keywords, and so on, and finally combining a plurality of specific content keywords to form specific content information.
The incidence relation sequence list is used for identifying the incidence information, on one hand, the incidence information is screened according to the rule of the incidence relation sequence list, so that the analysis speed of the information is improved, on the other hand, the incidence relation sequence list reflects the information of the tourist area from each dimension, so that the comprehensiveness of information acquisition is improved by using the incidence relation sequence list to identify the incidence information, and the possibility of losing the tourist information is reduced when the incidence information is identified.
Step S104: and carrying out visual processing on the specific content information and integrating to generate a travel resource report.
After the specific content information is obtained, the specific content information is visualized and integrated to generate the tourism resource report.
In the embodiment of the application, specific content information is visualized by using an image processing technology, and different specific content information is processed in different ways.
For example, the tourist resources generated finally include information such as introduction, type, grade, address, open time, telephone, distribution of tourist sites, related scenic spots, month of travel, stay time, per capita cost, partnership, sex distribution, delicacies, hotels, play, scenic spot critiques and evaluation high frequency words of tourist sites; the five information of the brief introduction, the type, the grade, the address, the open time and the telephone are simple information, and the information is simply introduced without excessive processing.
The passenger source distribution means that the distribution map of each province of the Chinese map is displayed on the tourist resource report when the tourist is in the region of the tourist source of people who come to the west cedar slope, the more the number of people is, the darker the number of people is according to the number of people of each province, and the province rank and the number of people ratio of the passenger source TOP10 are arranged on one side of the Chinese map.
The information of the tour month, the stay time, the per capita cost, the peer-to-peer partnership, the playing method and the like is displayed through the bar graph, because the information comprises a plurality of small branches, for example, the tour month comprises 1 month to 12 months; the retention time includes 1 day-10 days, and also includes more than 10 days.
Since the gender distribution comprises two options of a male and a female, the information can be received more clearly by adopting a sector diagram for display; similarly, the scenic spot comment only comprises three options of good comment, medium comment and bad comment, so that the scenic spot comment is displayed by using a sector graph; the gourmet food and the hotel are ranked according to the evaluation; similarly, a visual image of information on the total amount, layout, and the like of the service facilities of the cedar slope is also included.
Through above-mentioned information, can provide sight spot information before the tourism for the visitor to supply the visitor to carry out the planning of time and route according to relevant sight spot information, can make before the tourism equally, in the tourism and after the tourism, about the planning of each side such as time, rest, diet, traffic, improved the impression of visitor's trip, improved the clear degree that the visitor is cognitive to the tourist attraction.
When the information is checked through the tourism resource report, people can check the information in a mode of combining characters and graphics, the information receiving efficiency is improved, and compared with a mode of only characters or images, the tourism resource report is arranged in a mode of combining the characters and the graphics, and the readability of the tourism resource report and the information receiving efficiency are improved.
Tourism planning personnel can look over relevant tourist attraction information through platform or cell-phone APP in this application embodiment to according to tourist attraction information to traffic route, tourist route, route sight spot order etc. carry out detailed planning, improved tourism planning personnel's planning ability on the one hand, improved the convenience of planning, on the other hand, through more detailed tourism plan, can bring better service experience for the visitor.
Scenic spot managers can look over the tourism information of self scenic spot through platform or cell-phone APP in this application embodiment, carry out the pertinence according to information such as the tourism peak season of scenic spot and handle the scenic spot relevant affairs, reduce because of the probability that brings the influence to scenic spot management when the flow of people is great.
When the tourist checks the relevant tourist attraction information through the platform or the mobile phone APP in the embodiment of the application, the tourist can check and analyze the information such as service facilities, hotspot areas, traffic routes, tourist space-time distribution and the like of the tourist attraction, so that the tourist time, route and planning which accord with the self condition are obtained, and the convenience of tourist tour is improved.
The application provides a tourism resource investigation system, as shown in fig. 2, the tourism resource investigation system comprises an acquisition module 1, a storage module, a processing module and a display module, wherein the acquisition module 1 is used for acquiring big data of tourism information, name information of a tourism place and a preset incidence relation sequence table; the screening module 2 is used for screening the big data of the travel information according to the name information of the travel place to obtain the associated information; the identification module 3 is used for identifying the association information according to the association relation sequence table to obtain specific content information; and the processing module 4 is used for performing visual processing on the specific content information and generating a travel resource report after integration.
The foregoing description is only exemplary of the preferred embodiments of the invention and is provided for the purpose of illustrating the general principles of the technology. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (8)
1. A method for investigating tourism resources is characterized by comprising the following steps:
acquiring big data of the travel information, name information of the travel place and a preset incidence relation sequence table;
screening the big data of the travel information according to the name information of the travel place to obtain associated information;
identifying the association information according to the association relation sequence table to obtain specific content information;
and carrying out visual processing on the specific content information and integrating to generate a travel resource report.
2. The method for surveying travel resources of claim 1, wherein the step of obtaining the predetermined order list of associations comprises:
acquiring a category keyword;
obtaining branch keywords according to the category keywords;
generating a plurality of associated keywords related to the branch keywords according to the branch keywords;
and sequencing the associated keywords according to the association degree of the associated keywords and the branch keywords to obtain an association relation sequence table.
3. The method for tourism resource investigation according to claim 1, wherein the method for obtaining the associated information by filtering the big data of the tourism information according to the name information of the tourist spot comprises: the tourism information big data is identified through a voice identification technology, a character identification technology and an image identification technology, and the associated information containing the name information of the tourism place is obtained.
4. The travel resource survey method as claimed in claim 2, wherein the category keyword includes a basic information keyword of the travel place, a surrounding information keyword of the travel place and an evaluation information keyword of the travel place.
5. The method for surveying travel resources of claim 4, wherein the method for obtaining specific content information after identifying the associated information according to the associated relationship sequence table comprises:
obtaining a related information keyword according to the related information;
matching the associated information keywords with the keywords in the association relation sequence table;
when the matching is successful, the associated information keywords are marked as specific content keywords;
the plurality of specific content keywords are combined to form specific content information.
6. The method for surveying travel resources of claim 1, wherein the method for generating the report of travel resources after the specific content information is visually processed and integrated comprises: and carrying out visualization processing on the specific content information according to an image processing technology.
7. The method for surveying travel resources of claim 1, wherein the means for obtaining big data of travel information is a crawler.
8. A travel resource survey system, comprising:
the system comprises an acquisition module (1) for acquiring big data of the travel information, name information of a travel place and a preset incidence relation sequence table;
the screening module (2) is used for screening the big data of the travel information according to the name information of the travel place to obtain the associated information;
the identification module (3) is used for identifying the association information according to the association relation sequence table to obtain specific content information;
and the processing module (4) is used for performing visual processing on the specific content information and integrating the specific content information to generate a travel resource report.
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