CN113269446A - Cultural and tourism economic operation data monitoring system architecture - Google Patents
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Abstract
The invention provides a cultural and tourism economic operation data monitoring system architecture, which comprises a shared data platform, a supervision data platform and a key index extraction unit, wherein the shared data platform is used for monitoring the operation data of a plurality of objects; the data sharing platform captures cross-industry culture and tourism data, and uniformly stores field information of the same type of the cross-industry culture and the tourism data through a plurality of preset labels; the supervision data platform provides industrial management-based procedural big data; the key index extraction unit divides the monitoring index according to the label and the procedural big data and performs integrated analysis on the cultural and tourism data according to the monitoring index; the monitoring index contains cultural and tourist data applied in different industries under corresponding preset tags. The invention pertinently uses multi-industry process data, is compatible with common characteristics and attributes of cultural and tourist market management, selects a proper index system, constructs a reasonable economic operation data monitoring system architecture, and realizes the purposes of analyzing and monitoring the operational situation of the cultural and tourist markets.
Description
Technical Field
The invention relates to the technical field of big data monitoring, in particular to a cultural and tourism economic operation data monitoring system architecture.
Background
In order to promote the integration of culture and tourism industry and digital economy, an industry development idea of enabling the integration of culture and tourism by data is provided. However, the data information of the existing culture and tourism industries is scattered, the data integration is low, and the process big data of the market main body cannot be compatible. Therefore, a uniform cultural and tourism economic monitoring framework which has a certain system and can support macroscopic regulation is not formed at the present stage, and the economic operation of the cultural and tourism market cannot be reasonably monitored.
Therefore, how to provide a data monitoring system architecture of a cultural and tourism economic operation monitoring mechanism depending on multi-source data of market subjects and industries is a problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of the above, the invention provides a cultural and tourism economic operation data monitoring system architecture, which pertinently uses multi-industry process data, is compatible with common characteristics and attributes of cultural and tourism market management, selects a proper index system and constructs a reasonable economic operation data monitoring system architecture.
In order to achieve the purpose, the invention adopts the following technical scheme:
a cultural and tourism economic operation data monitoring system architecture comprises a shared data platform, a supervision data platform and a key index extraction unit;
the data sharing platform captures cross-industry culture and tourism data, and uniformly stores field information of the same type of the cross-industry culture and the tourism data through a plurality of preset labels;
the supervision data platform provides industrial management-based procedural big data;
the critical index extraction unit divides monitoring indexes according to the labels and the procedural big data and performs integrated analysis on the cultural and tourism data according to the monitoring indexes; the monitoring index contains cultural and tourist data applied in different industries under corresponding preset labels.
Preferably, the monitoring indexes are divided according to grades, and the indexes at all levels are weighted and summarized step by step through determining weights and are stored.
Preferably, the method of determining the weight comprises a delphirin method or an analytic hierarchy method.
Preferably, the monitoring index comprises a first order index: price index, activity index, integrity index, and risk index.
Preferably, the monitoring index further comprises a second-order index: namely cross-industry cultural and tourism data, including the following industries: the system comprises the Internet service industry, the cultural performance industry, the cultural entertainment industry, the artwork auction industry, the network culture industry, the travel agency industry, the star-level restaurant industry and the tourist attraction industry.
Preferably, the industrial management-based procedural big data includes cultural management procedural big data and travel management procedural big data, wherein,
cultural management procedural big data comprises: administrative examination and approval data, recorded data, statistical direct report data and process record data;
the tourism management process big data comprise: tour guide management data, business activity management data, team management data and approval management data.
Preferably, the data sharing platform comprises various industry culture and travel product databases, and the labels to which the field information of all products in each industry culture and travel product database belongs are subjected to de-coincidence and item-adding storage.
Preferably, the data sharing platform further comprises a supply end and a demand end:
the supply end is used for capturing third-party culture and tourist product data on each industry line and storing the third-party culture and tourist product data in the industry culture and tourist product database;
and the demand end is used for acquiring cultural and tourist product data which are output to the user and correspond to the industry sharing data on each industry line.
Preferably, the supply end is further configured to perform the following operations:
the supply end crawls cultural and tourist product description and classification information to obtain field information;
when the field information is incomplete and/or information is missing, corresponding cultural and tourist product description information is utilized for deep excavation, and a machine learning mode is utilized for completing the field information of the cultural and tourist product description;
and extracting uniform labels from field information of the same type of the cultural and tourism data, and binding and storing the uniform labels and the corresponding field information to the industrial cultural and tourism product database.
Preferably, the integrated analysis of the cultural and tourism data according to the monitoring index comprises: and generating risk early warning information of a culture and tourism product supply end and/or a demand end according to the monitoring index.
Through the technical scheme, compared with the prior art, the invention has the beneficial effects that:
the invention constructs a culture and tourism economic operation monitoring system depending on multi-source data of market main bodies and industries, and is compatible with common characteristics and common attributes of culture and tourism market management, and integrates common characteristics in the market management of the culture and tourism industry to carry out data carding and construction; and constructing a reasonable economic operation monitoring system and a risk early warning scheme based on industrial management process big data. The existing monitoring system is supplemented and data verified, and more accurate, scientific, intelligent and prospective decision basis is provided for market management.
The invention lays a theoretical foundation for establishing a culture and tourism market economic operation big data monitoring system. The formation marks that cultural and tourism governing departments make a solid step towards the improvement of a digital treatment system; the method is beneficial to establishing a new paradigm of culture and tourism industry economic operation which is suitable for digital economy; meanwhile, beneficial exploration is provided for the construction of big data systems of culture and tourism markets.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts;
fig. 1 is a block diagram of a cultural and tourism economic operation data monitoring architecture according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Under the background of fusion of culture and tourism, the requirement of unified monitoring of economic operation of culture and tourism market appears, in order to unify statistical calibers of all industries and provide data support for economic operation monitoring of culture and tourism market, starting from the commonalities of all industries, an index system framework for operation monitoring of culture and tourism economic market is constructed based on statistical yearbooks and direct report data of eight representative industries and all industries in the culture and tourism market and by combining the characteristics of specific industries.
The culture and tourism economy operation data monitoring system architecture disclosed by the embodiment comprises a shared data platform, a supervision data platform and a key index extraction unit;
the data sharing platform captures cross-industry culture and tourism data, and uniformly stores field information of the same type of the cross-industry culture and the tourism data through a plurality of preset labels;
the supervision data platform provides industrial management-based procedural big data;
the key index extraction unit divides the monitoring index according to the label and the procedural big data and performs integrated analysis on the cultural and tourism data according to the monitoring index; the monitoring index contains cultural and tourist data applied in different industries under corresponding preset tags.
In one embodiment, the data obtained by the data sharing platform includes: industry association data, cultural and tourist enterprise shared data, OTA platform data, network typical data and offline monitoring point data. The regulatory data platform provides government shared data, including: judicial data, traffic data, tax data, regulatory data, public security data.
In this embodiment, the cross-industry cultural and tourist data includes cultural and tourist data of the following industries: the system comprises the Internet service industry, the cultural performance industry, the cultural entertainment industry, the artwork auction industry, the network culture industry, the travel agency industry, the star-level restaurant industry and the tourist attraction industry.
In this embodiment, the data sources provided by the supervisory data platform include cultural management process big data and travel management process big data, wherein,
cultural management procedural big data comprises: administrative examination and approval data, recorded data, statistical direct report data and process record data;
the tourism management process big data comprise: tour guide management data, business activity management data, team management data and approval management data.
In one embodiment, the data sharing platform comprises various industry culture and travel product databases, and tags to which field information of all products in each industry culture and travel product database belongs are subjected to de-overlapping and item-adding storage.
In this embodiment, the common characteristics of the cultural and tourist products of each industry include: the number of institutions, the number of workers, the number of servers (times), the number of assets and facilities, the operating cost, the operating income and the operating profit.
In one embodiment, the monitoring indexes are divided according to grades, and the indexes at all grades are weighted and summarized step by step through determining weights and are stored.
In this embodiment, the method for determining the weight includes a delphire method or an analytic hierarchy process. Among them, the Analytic Hierarchy Process (AHP) is a decision method that decomposes elements always related to a decision into a hierarchy of targets, criteria, schemes, etc., and performs qualitative and quantitative analysis based on the hierarchy.
The monitoring index is divided into three stages, in which,
first-level indexes: price index, activity index, integrity index, risk index;
secondary indexes are as follows: the system comprises the Internet service industry, the cultural performance industry, the cultural entertainment industry, the artwork auction industry, the network culture industry, the travel agency industry, the star-level restaurant industry and the tourist attraction industry;
and (3) three-level indexes: the label of specific culture and tourism products under different industries of secondary indexes.
The first order index is illustrated below:
market price index: refers to the collection of key indexes in the price of products and services provided by market main bodies of various industries. The system is used for reflecting the fluctuation of commodity price and the change trend of price level in the market of the culture and tourism industry, directly or indirectly reflecting the supply and demand conditions of the culture and tourism market, the main operation of the market and the like;
market risk index: based on relevant factors such as price and integrity of each industry, the potential risks possibly existing in the operation process of the industry are early warned in advance by combining historical data, special cases and the like, and advanced and important supervision is implemented for risk subjects.
Market activity index: the method refers to the change conditions of the number, distribution and the like of main bodies in the production and operation process of various industries and the set of key indexes reflecting the aspects of benefit, scale, number and the like in the internal operation aspect of market main bodies. The system is used for reflecting market liveness, including the number change liveness of the main body and the liveness of various supply and demand parties in the main body operation;
market integrity index: the method refers to index sets of various industries in the aspects of market order, operation regulation, consumer evaluation and the like in the process of economic operation. It reflects the market including subject to consumer, subject to subject integrity and ethics, market sustainability, etc.
The embodiment realizes the purpose of analyzing and monitoring the operating situation of the cultural and tourism market by analyzing the relevant key indexes of the market operation such as price, liveness, integrity, risk and the like.
In one embodiment, the data sharing platform further comprises a supply side and a demand side:
the supply end is used for capturing third-party culture and tourist product data on each industry line and storing the third-party culture and tourist product data in the industry culture and tourist product database;
the demand end is used for acquiring industry sharing data on each industry line and correspondingly outputting cultural and tourist product data, such as electronic contracts, to the user.
In one embodiment, the supply end is further configured to:
the supply end crawls the description and classification information of the cultural and tourist products to obtain field information;
when the field information is incomplete and/or information is missing, corresponding cultural and tourist product description information is utilized for deep excavation, and a machine learning mode is utilized for completing the field information of the cultural and tourist product description;
and extracting uniform labels from field information of the same type of the cultural and tourism data, and binding and storing the uniform labels and the corresponding field information to the industrial cultural and tourism product database.
In one embodiment, the integrated analysis of cultural and travel data based on monitoring indices includes: and generating risk early warning information of the culture and tourism product supply end and/or demand end according to the monitoring index.
The following gives an example of the realization of the monitoring of the economic operation of the industry, taking the travel agency industry as an example:
and establishing a uniform travel agency product database, updating monthly, and performing de-coincidence and item addition on labels corresponding to specific fields of different travel agency products.
The travel agency industry is based on a three-level data collection framework of webpage grabbing, electronic contracts and offline monitoring points:
a supply end: OTA crawling (including but not limited to journey, tuohu, hornet, co-journey, etc.) and web page crawling (including but not limited to main traditional travel agency online platforms such as mass-letter travel, conghe travel, national travel, chinese-green travel, kaiser travel, etc.): reflecting market supply and OTA overall product conditions (on-line); the OTA has high data capturing availability and low mining cost; the webpage captures the travel products sold on the online platform as an analysis object, and the basic conditions of the travel products of the current market supply end are analyzed.
A demand end: OTA electronic contract: reflecting market demand conditions, and analyzing user tendency (on-line);
verification of monitoring results and factor cause analysis (offline).
The line product of the travel agency is taken as a target to be captured, data mining and machine learning are carried out on product description and classification information, the line product is intelligently labeled, and finally field information required by a unified database is provided to be filled into the unified database of the product.
Travel agency industry normalized data format:
1) the database base field structure contains (without limitation) the following fields:
product ID, price, origin, destination, line of play, number of sights, days of travel, product type (e.g., team tour, semi-self tour, custom tour), product theme (e.g., island, sightseeing, vacation, culture, history), applicable population (parent, honey moon, old age, girlfried, student), provider: travel agencies, whether to exit, hotel grades, traffic modes, whether to shop, platform sources, public praise comments, goodness rates, keywords, times of eating, and the like.
2) Data processing mode
Electronic contract:
the OTA platform has performed more detailed information classification according to the product characteristics, and satisfies the fields of the product description of the travel agency required by the embodiment. Data integration can be performed through webpage crawling or cooperation with a platform and the like so as to achieve the aim of establishing a unified database.
Text mining and machine tagging:
for the problems of incomplete required fields, missing information and the like which possibly occur, product description information (text) can be deeply mined, label extraction is carried out on the travel product description in modes of machine learning and the like, and the required information is supplemented for the missing fields of the travel product.
As shown in table 1, for the field information in the price index in the travel agency level index and the corresponding descriptive conclusions:
TABLE 1 travel agency price index Table
As shown in table 2, for the field information in the activity index in the travel agency level index and the corresponding descriptive conclusion:
table 2 industry activity index table for travel agency
As shown in table 3, for the field information in the honest index in the travel agency level index and the corresponding descriptive conclusions:
table 3 travel agency integrity index table
The implementation of the embodiment is helpful for the uniform monitoring of the industry of the travel agency, and is mainly reflected in the following points:
risk clues, namely, collection supervision data, complaint reporting data, internet and third-party data are discovered, and the seedling-head risks are discovered and identified as soon as possible by using a big data analysis method;
the method supports accurate supervision, namely a risk early warning model for violation of the travel agency is constructed, risk analysis, study, judgment and prediction early warning are carried out, and intelligent and accurate supervision for the travel agency in and after affairs is promoted to support accurate supervision;
establishing a working mechanism, namely establishing an Internet and supervision risk early warning service working mechanism of a travel agency, defining the working process and responsibility division of the risk early warning service, and standardizing the transmission and feedback process of a risk early warning signal.
The cultural and tourism economic operation data monitoring system architecture provided by the invention is introduced in detail, a specific example is applied in the system to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A cultural and tourism economic operation data monitoring system architecture is characterized by comprising a shared data platform, a supervision data platform and a key index extraction unit;
the data sharing platform captures cross-industry culture and tourism data, and uniformly stores field information of the same type of the cross-industry culture and the tourism data through a plurality of preset labels;
the supervision data platform provides industrial management-based procedural big data;
the critical index extraction unit divides monitoring indexes according to the labels and the procedural big data and performs integrated analysis on the cultural and tourism data according to the monitoring indexes; the monitoring index contains cultural and tourist data applied in different industries under corresponding preset labels.
2. The cultural and tourist economy operation data monitoring system architecture of claim 1, wherein the monitoring indices are classified according to levels, and the indices at each level are weighted and summarized step by determining weights and stored.
3. The cultural and tourist economic operation data monitoring architecture of claim 2, wherein the method of determining the weight comprises delphi or analytic hierarchy process.
4. The cultural and tourist economic operational data monitoring architecture of claim 2, wherein said monitoring index comprises a first level index: price index, activity index, integrity index, and risk index.
5. The cultural and tourist economic operational data monitoring architecture of claim 2, wherein said monitoring index further comprises a secondary index: namely cross-industry cultural and tourism data, including the following industries: the system comprises the Internet service industry, the cultural performance industry, the cultural entertainment industry, the artwork auction industry, the network culture industry, the travel agency industry, the star-level restaurant industry and the tourist attraction industry.
6. The cultural and tourist economy performance data monitoring architecture of claim 1, wherein the industry management based procedural big data comprises cultural management procedural big data and tourist management procedural big data, wherein,
cultural management procedural big data comprises: administrative examination and approval data, recorded data, statistical direct report data and process record data;
the tourism management process big data comprise: tour guide management data, business activity management data, team management data and approval management data.
7. The cultural and tourist economy operation data monitoring system architecture of claim 1, wherein the data sharing platform comprises industry cultural and tourist product databases, and tags to which field information of all products in each industry cultural and tourist product database belongs are de-duplicated and additionally stored.
8. The cultural and tourist economy performance data monitoring architecture of claim 7, wherein the data sharing platform further comprises a supplier end and a demand end:
the supply end is used for capturing third-party culture and tourist product data on each industry line and storing the third-party culture and tourist product data in the industry culture and tourist product database;
and the demand end is used for acquiring cultural and tourist product data which are output to the user and correspond to the industry sharing data on each industry line.
9. The cultural and tourist economy performance data monitoring architecture of claim 7, wherein,
the supply end is further configured to:
the supply end crawls the description and classification information of the cultural and tourist products to obtain field information;
when the field information is incomplete and/or information is missing, corresponding cultural and tourist product description information is utilized for deep excavation, and a machine learning mode is utilized for completing the field information of the cultural and tourist product description;
and extracting uniform labels from field information of the same type of the cultural and tourism data, and binding and storing the uniform labels and the corresponding field information to the industrial cultural and tourism product database.
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