Digital cultural tourism management system based on multi-source data analysis

Abstract

The invention relates to the technical field of tourism management, and particularly discloses a digital cultural tourism management system based on multi-source data analysis, which comprises a data acquisition module, a resource integration module, a travel route generation module and a dynamic information updating module, the data acquisition module is used for collecting cultural tourism data from various data sources and storing the cultural tourism data into a database; the resource integration module is used for integrating various culture and tourism resource information and updating the resource information regularly; the travel route generation module is used for intelligently planning a travel route according to tourist demands and scenic spot characteristics and generating a recommended route; for diversified cultural tourism data, an entity network fusing heterogeneous information is established, user travel itinerary information, various tourism resources, scenic spot characteristics and related cultural information are integrated together, and by means of an intelligent route planning function, the system can plan the travel itinerary information according to personal preferences, departure places and time arrangements of tourists. And generating personalized tourist route recommendation.

Description

Technical Field

[0001] The invention belongs to the technical field of tourism management, and in particular relates to a digital cultural tourism management system based on multi-source data analysis. Background Art

[0002] Digitalization refers to the conversion of traditional physical forms, processes or information into digital form for easy storage, processing, transmission and utilization. The development of digitalization is closely related to the rapid progress of information technology. It is changing and affecting various fields, including business, education, medical care, entertainment, communications and other fields. Digitalization makes data collection and analysis more convenient and efficient. Enterprises and organizations can obtain valuable insights through data analysis and mining, and make smarter decisions based on these insights.

[0003] Cultural tourism is abbreviated as cultural tourism. It is defined as the process of perceiving, understanding and experiencing the specific content of human culture through tourism. It generally refers to tourism for the purpose of appreciating traditional culture in foreign countries, tracing the remains of cultural celebrities or participating in various cultural activities held locally. Seeking cultural enjoyment has become a trend among current tourists, and digital management systems are needed to manage it in the cultural tourism industry. The existing tourism management system is difficult to integrate information on various cultural and tourism resources, and cannot plan tourist routes according to the actual situation of tourist attractions, and thus cannot effectively arrange the journey, affecting tourists' travel experience.

[0004] Therefore, it is necessary to propose a digital cultural tourism management system based on multi-source data analysis to at least partially solve the problems existing in the prior art.

[0005] The above information disclosed in this background technology is only used to increase the understanding of the background technology of the present invention and therefore, it may include information that does not constitute the prior art known to ordinary technicians in this field. Summary of the invention

[0006] The purpose of the present invention is to provide a digital cultural tourism management system based on multi-source data analysis to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A digital cultural tourism management system based on multi-source data analysis, including: data collection module, resource integration module, travel route generation module, dynamic information update module, demand analysis module, user feedback module, marketing promotion module;

[0009] The data collection module is used to collect cultural tourism data from various data sources and store them in a database;

[0010] The resource integration module is used to integrate various cultural and tourism resource information and regularly update the resource information;

[0011] The travel route generation module is used to intelligently plan travel routes according to tourist needs and scenic spot characteristics and generate recommended routes;

[0012] The dynamic information update module is used to update scenic spot information in real time and monitor user dynamics and feedback;

[0013] The demand analysis module is used to analyze user preferences, create detailed user portraits, and identify potential needs;

[0014] The user feedback module is used to provide users with a friendly interactive interface and collect user feedback;

[0015] The marketing and promotion module is used to achieve the marketing and promotion of scenic spots and cultural activities.

[0016] Preferably, the data collection module is used to automatically capture cultural and tourism data through crawler technology, and to access external systems through the website's public API to obtain the latest scenic spot information, use MySQL database to store multi-source data information, and use Elasticsearch-based secondary indexing to perform fast data query.

[0017] The use of secondary indexes based on Elasticsearch, the storage and query of secondary indexes, is a special form of multi-network inverted index technology, coupled with the Lucene-based distributed search engine Elasticsearch, improves the retrieval efficiency of MySQL. Bulk Processor is configured in the process of Elasticsearch data transmission to set the batch transmission mechanism and time mechanism, which improves the transmission speed.

[0018] Preferably, the resource integration module is used to pre-process the collected data, including data refinement cleaning, data centralized integration, data conversion and data standardization, classify, aggregate and summarize according to real-world objects, abstract entities, attributes and connections, establish an entity network that integrates multiple heterogeneous information, and use data compression technology to compress the data.

[0019] Establish a physical network that integrates multiple heterogeneous information:

[0020] ① A meta-path-based random walk strategy is used to find other similar entities adjacent to the entity to build an entity network. Meta-path, as a reflection of the relationship between heterogeneous nodes, helps to discover and mine potential entity information.

[0021] Given a heterogeneous information G = (V, E) and a meta-path The source entity takes the meta-path as a constraint and the execution step as a limit to launch a random walk, which can be expressed as:

[0022]

[0023] Where n i represents the i-th node of the random walk on the meta-path, x and v represent nodes, and v belongs to node type A i , Indicates the nearest node v and the node type belongs to A i+1 The node follows the node sequence of the meta-path and keeps walking until the preset step length is reached. p represents the probability of node v randomly walking to node x, and E represents the connection between entity nodes.

[0024] The purpose of adopting the meta-path-based random walk strategy is to discover the neighborhood of isomorphic nodes in heterogeneous network nodes. Therefore, the meta-path selects nodes of the same type as the source node and the final node. After the meta-path-based random walk, a series of heterogeneous node sequences are generated. In order to achieve the purpose, nodes of different types from the source node are removed. Finally, a set of node sequences of isomorphic nodes are obtained through this method, which can effectively reflect the isomorphic neighborhood of the source node. Different meta-paths produce different isomorphic node sequences. In order to make the obtained node sequence reflect the potential relationship between nodes, the meta-path with associated semantics is selected as the walking constraint for collecting isomorphic sequences.

[0025] Example: In a heterogeneous network of user-item-attribute, there is a meta-path "user-item-user" which indicates that two users have the same preference for the same item, and the two users should have a certain similarity. Similarly, there is a meta-path "user-item-attribute-item-user" which indicates that two users have similar preferences for items with the same attributes, and the two users should also have a certain similarity.

[0026] ② Fusion of multiple heterogeneous information

[0027] In order to fuse multiple heterogeneous information, we need to find a connecting link. Entities, as nodes in the network, can effectively connect heterogeneous information networks with the same type of nodes. Specifically, the entities that need to be used are extracted from each network and reconstructed into a new entity network. The connections between nodes maintain the characteristics and potential relationships contained in the original network. The purpose of fusing multiple heterogeneous information is to obtain a more accurate and effective entity feature expression, while weakening the impact of sparse data in a single network on entity feature expression and recommendation results.

[0028] ③Establishment of physical network

[0029] The establishment of entity network is essentially to integrate multiple heterogeneous information networks, but at the same time, it also transforms the original entity representation problem of heterogeneous information networks into entity representation of homogeneous networks, reducing the difficulty of entity representation. Reconstruct an entity network based on the homogeneous node sequence generated after meta-path walking. Assume that there are two heterogeneous information networks, and the entity nodes of the same type in the network are respectively represented by and Represents. The reconstructed entity network G = (V ent ,E), where E represents the connection between entity nodes. A random walk based on meta-path is performed on two heterogeneous information networks to obtain the node sequence Where l represents the type of meta-path used and i represents the source node. The domain of a single entity node is represented as The connection between nodes is established by using the neighborhood, and the connection relationship is expressed as:

[0030]

[0031] Traverse all entity network nodes V ent , for E x,y When the connection of all nodes is completed, the entity network integrating multiple heterogeneous information networks is also constructed accordingly. The entity network is constructed by the node sequence formed by the random walk of the meta-path. It is a homogeneous entity network in form, but contains potential information in heterogeneous networks, providing valuable information for subsequent network representation and recommendation.

[0032] Preferably, the travel route generation module is used to convert the map into a graph structure, define the attributes of nodes and edges, apply the CA* algorithm to complete the travel route planning and generate a recommended route according to the user input data, and use the visual simulation rendering technology tool VegaPrime to achieve three-dimensional modeling and visual analysis.

[0033] Preferably, the dynamic information update module is used to track the weather, traffic and activity changes in the scenic area in real time, monitor the user's journey progress and satisfaction, generate dynamic reports, use the Spark framework to analyze user usage and satisfaction and output the results for reference in management decision-making.

[0034] Preferably, the demand analysis module is used to analyze user behavior using machine learning algorithms, identify potential needs, and use data visualization tools in combination with the physical network to display the results of the demand analysis in real time. After the needs are met, agile development and iterative design methods are adopted to quickly adjust and optimize the needs through continuous feedback loops.

[0035] Preferably, the marketing and promotion module is used to formulate accurate marketing strategies through big data analysis, conduct real-time customer communication and product recommendations through chatbots, use blockchain technology to track the effectiveness of advertising, and combine AR / VR technology to achieve an immersive experience.

[0036] Preferably, the user feedback module is used to provide online review, rating and feedback functions, allowing users to participate in experience optimization, using real-time data stream analysis technology to analyze users' emotional tendencies towards brands and products, and identifying the needs and characteristics of different user groups.

[0037] A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the processor implements a digital cultural tourism management system based on multi-source data analysis as described above.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention faces diversified cultural tourism data, establishes an entity network that integrates heterogeneous information, integrates user travel itinerary information, various tourism resources, scenic spot characteristics and related cultural information, and through intelligent route planning function, the system can generate personalized travel route recommendations based on tourists' personal preferences, departure locations and time arrangements. This precise route planning can not only reduce tourists' decision-making time, but also avoid unreasonable itinerary arrangements caused by incomplete information, and improve the overall fluency and satisfaction of tourism.

[0040] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a framework diagram of the digital cultural tourism management system based on multi-source data analysis of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1:

[0044] See also Figure 1As shown, a digital cultural tourism management system based on multi-source data analysis includes: data collection module, resource integration module, travel route generation module, dynamic information update module, demand analysis module, user feedback module, and marketing promotion module;

[0045] The data collection module is used to collect cultural tourism data from various data sources and store them in the database;

[0046] The resource integration module is used to integrate various cultural and tourism resource information and update resource information regularly;

[0047] The travel route generation module is used to intelligently plan travel routes based on tourist needs and scenic spot characteristics and generate recommended routes;

[0048] The dynamic information update module is used to update scenic spot information in real time and monitor user dynamics and feedback;

[0049] The demand analysis module is used to analyze user preferences, build detailed user portraits, and identify potential needs;

[0050] The user feedback module is used to provide users with a friendly interactive interface and collect user feedback;

[0051] The marketing and promotion module is used to realize the marketing and promotion of scenic spots and cultural activities.

[0052] The data collection module is used to automatically capture cultural and tourism data through crawler technology, and to obtain the latest scenic spot information through the website's public API and external system access. It uses the MySQL database to store multi-source data information and adopts the secondary index method based on Elasticsearch for fast data query. It can output and present data retrieval results on the corresponding user terminals such as Web applications, desktop applications, mobile applications and WeChat.

[0053] The resource integration module is used to pre-process the collected data, including data refinement and cleaning, data centralized integration, data conversion and data standardization. It classifies, aggregates and summarizes real-world objects, abstracts entities, attributes and connections, establishes an entity network that integrates multiple heterogeneous information, and uses data compression technology to compress the data.

[0054] The collected data is simply processed and written into various data receivers, and then pre-processed by cleaning, decryption and other steps to solve problems such as data omissions, inconsistencies, data redundancy and numerical conflicts. On the basis of maintaining the original appearance of the data to the greatest extent, the data volume is simplified and operations on smaller data sets are obtained, thereby improving data quality.

[0055] The travel route generation module is used to convert the map into a graph structure, define the attributes of nodes and edges, apply the CA* algorithm to complete travel route planning and generate recommended routes based on user input data, and use the visual simulation rendering technology tool VegaPrime to achieve three-dimensional modeling and visual analysis.

[0056] When planning a travel route, the starting point entered by the user is used as the source node, and the end point entered by the user is used as the final node. The constructed entity network is analyzed to list the possible node sequences between the source node and the final node. The node sequences of similar entities (travel routes taken by other users) are analyzed based on the potential relationships contained in the nodes to obtain the recommendation probabilities of different nodes, which are then included in the list of selectable nodes for the shortest route planned by the CA* algorithm. New nodes are introduced based on the shortest route according to the data entered by the user (such as wanting to go to a certain scenic spot) and the preset threshold (relative to the recommendation probability) to generate a recommended route for the user to choose.

[0057] Embodiment 2:

[0058] See also Figure 1 As shown, this embodiment is basically the same as the previous embodiment, except that the dynamic information update module is used to track the weather, traffic and activity changes in the scenic area in real time, monitor the user's journey progress and satisfaction, generate dynamic reports, use the Spark framework to analyze user usage and satisfaction and output the results for reference for management decision-making.

[0059] The demand analysis module is used to analyze user behavior using machine learning algorithms, identify potential needs, and use data visualization tools in combination with the physical network to display the results of demand analysis in real time. After the needs are met, agile development and iterative design methods are adopted to quickly adjust and optimize the needs through continuous feedback loops.

[0060] The user feedback module is used to provide online review, rating and feedback functions, allowing users to participate in experience optimization, using real-time data stream analysis technology to analyze users' emotional tendencies towards brands and products, and identify the needs and characteristics of different user groups.

[0061] The marketing and promotion module is used to develop precise marketing strategies through big data analysis, conduct real-time customer communication and product recommendations through chatbots, use blockchain technology to track the effectiveness of advertising, and combine AR / VR technology to achieve an immersive experience.

[0062] Cultural and tourist attractions display: For near-field object models, they are divided into three levels according to their distance from the viewpoint: fine model, standard model, and simple model. According to human visual characteristics, the fine model is selected for display within 15m from the viewpoint, the standard model is selected for display 15m to 25m away from the viewpoint, and the simple model is selected for display more than 25m away from the viewpoint. Texture data is a major type of scene data. Taking into account the storage efficiency of textures and the cost of texture mapping (transformation), the use efficiency of texture memory can be improved by compressing multiple images into a single texture or eliminating small textures.

[0063] As can be seen from the above, the present invention faces diversified cultural tourism data, establishes an entity network that integrates heterogeneous information, integrates user travel itinerary information, various tourism resources, scenic spot characteristics and related cultural information, and through intelligent route planning functions, the system can generate personalized travel route recommendations based on tourists' personal preferences, departure locations and time arrangements. This precise route planning can not only reduce tourists' decision-making time, but also avoid unreasonable itinerary arrangements caused by incomplete information, and improve the overall fluency and satisfaction of tourism.

[0064] Embodiment 3:

[0065] The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned digital cultural tourism management system embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. Among them, the computer-readable storage medium, such as read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random ACGess Memory, referred to as RAM), a disk or an optical disk, etc.

[0066] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0067] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a program, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A way to specify functions in one or more boxes.

[0068] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0069] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0070] In the drawings of the embodiments disclosed in the present invention, only the structures involved in the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0071] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0072] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A digital cultural tourism management system based on multi-source data analysis, characterized in that: include: Data collection module, resource integration module, travel route generation module, dynamic information update module; The data collection module is used to collect cultural tourism data from various data sources and store them in a database; The resource integration module is used to integrate various cultural and tourism resource information and regularly update the resource information; The travel route generation module is used to intelligently plan travel routes according to tourist needs and scenic spot characteristics and generate recommended routes; The dynamic information update module is used to update scenic spot information in real time and monitor user dynamics and feedback.

2. According to claim 1, a digital cultural tourism management system based on multi-source data analysis is characterized by: The data collection module is used to automatically capture cultural and tourism data through crawler technology, and to obtain the latest scenic spot information through the website's public API and external system access, use the MySQL database to store multi-source data information, and use the secondary index method based on Elasticsearch for fast data query.

3. According to claim 2, a digital cultural tourism management system based on multi-source data analysis is characterized by: The resource integration module is used to pre-process the collected data, classify, aggregate and summarize it according to real-world objects, abstract entities, attributes and connections, establish an entity network that integrates multiple heterogeneous information, and use big data compression technology to compress the data.

4. According to claim 3, a digital cultural tourism management system based on multi-source data analysis is characterized in that: The travel route generation module is used to convert the map into a graph structure, define the attributes of nodes and edges, apply the CA* algorithm to complete the travel route planning and generate a recommended route according to the user input data, and use the visual simulation rendering technology tool VegaPrime to achieve three-dimensional modeling and visual analysis.

5. According to claim 4, a digital cultural tourism management system based on multi-source data analysis is characterized in that: The dynamic information update module is used to track the weather, traffic and activity changes in the scenic area in real time, monitor the user's journey progress and satisfaction, generate dynamic reports, use the Spark framework to analyze user usage and satisfaction and output results for reference in management decision-making.

6. According to claim 4, a digital cultural tourism management system based on multi-source data analysis is characterized in that: The system also includes a demand analysis module, a user feedback module, and a marketing promotion module; The demand analysis module is used to analyze user preferences, create detailed user portraits, and identify potential needs; The user feedback module is used to provide users with a friendly interactive interface and collect user feedback; The marketing and promotion module is used to achieve the marketing and promotion of scenic spots and cultural activities.

7. A digital cultural tourism management system based on multi-source data analysis according to claim 6, characterized in that: The demand analysis module is used to analyze user behavior using machine learning algorithms, identify potential needs, and use data visualization tools in combination with the physical network to display the results of demand analysis in real time. After the needs are met, agile development and iterative design methods are adopted to quickly adjust and optimize the needs through continuous feedback loops.

8. A digital cultural tourism management system based on multi-source data analysis according to claim 7, characterized in that: The marketing and promotion module is used to formulate accurate marketing strategies through big data analysis, conduct real-time customer communication and product recommendations through chatbots, use blockchain technology to track the effectiveness of advertising, and combine AR / VR technology to achieve an immersive experience.

9. A digital cultural tourism management system based on multi-source data analysis according to claim 8, characterized in that: The user feedback module is used to provide online review, rating and feedback functions, allowing users to participate in experience optimization, using real-time data stream analysis technology to analyze users' emotional tendencies towards brands and products, and identify the needs and characteristics of different user groups.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the processor implements a digital cultural tourism management system based on multi-source data analysis as described in claims 1-9.

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