Tourism online management system
Through the integrated multi-functional unit online tourism management system, and the use of machine learning and object detection algorithms, the problems of the singularity and insufficient security management of the existing system are solved, personalized services and full process coverage are achieved, and user experience and scenic spot management efficiency are improved.
Patent Information
- Application Number
- CN202510445621.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-07-29
AI Technical Summary
The existing tourism management system has a single function, lacks personalized services, and has shortcomings in scenic spot safety management and improvement of tourist experience.
Design an online travel management system, integrate functional units such as customer login, information management, order management, security management and communication management, use machine learning algorithms to predict customer needs, provide personalized recommendations, and realize the collaborative work of each unit through cloud platform and communication module.
It has achieved full process coverage from customer information collection to scenic spot safety management, improved user experience and service quality, improved order processing efficiency, ensured the safety of scenic spots and tourists, and optimized tourism business management.
Smart Images
Figure CN120387870A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of tourism management, and particularly relates to an online tourism management system. Background Art
[0002] With the rapid development of the tourism industry, the traditional tourism management method can no longer meet the needs of tourists and scenic spots. The existing tourism management systems have relatively single functions, lack attention to the personalized needs of tourists, and have deficiencies in aspects such as scenic spot safety management and improvement of tourist experience. Therefore, an online tourism management system integrating multiple functions is needed to improve the quality and efficiency of tourism services. Summary of the Invention
[0003] The purpose of the present invention is to provide an online tourism management system to solve the problems existing in the above-mentioned prior art.
[0004] To achieve the above purpose, the present invention provides an online tourism management system, including: A customer login unit, used to provide a customer login function and push real-time information of the scenic spot to the customer; A customer information management unit, used to store the basic information, preference information and customer behavior records of the customer, and based on the stored customer information, use machine learning algorithms to predict customer needs and provide personalized recommendation suggestions; An order management unit, used to manage ticket data and financial data, and analyze and monitor the financial data; A security management unit, used to provide scenic spot security management; A communication management unit, used to connect each unit using a communication module; A cloud platform, used to store the data generated by each unit.
[0005] Optionally, the customer login unit specifically includes: A login module, used to provide a customer login function; A push module, used to push scenic spot routes, environmental previews and scenic spot commentaries to the customer; An intelligent tour guide voice service module, used to provide scenic spot voice explanation services.
[0006] Optionally, the customer login unit further includes: A complaint module, used to provide a complaint channel, collect and process customer complaints; A feedback module, used to obtain customer feedback data and optimize the system based on the feedback data.
[0007] Optionally, the customer information management unit specifically includes: An information management module, used to store the basic information, preference information and customer behavior records of the customer; The personalized marketing module is used to input preference information and customer behavior records into the user demand prediction model for classification prediction, and obtain personalized recommendation suggestions for tourism products; wherein, the user demand prediction model is constructed based on machine learning algorithms.
[0008] Optionally, the personalized marketing module specifically includes: The model training sub-module is used to obtain training data, which includes user training data and corresponding tourism product selections; construct an initial user demand prediction model, input the training data into the initial user demand prediction model for classification prediction, and take the minimum loss between the initial training result after classification prediction and the tourism product selection corresponding to the user training data as the goal to perform training and obtain a trained user demand prediction model. The model application sub-module is used to perform personalized marketing tasks according to the trained user demand prediction model.
[0009] Optionally, the order management unit specifically includes: The ticket management module is used to provide ticket booking functions, ticket refund functions, and ticket change functions. The online order management module is used to provide order query functions, order modification functions, and order cancellation functions. The payment module is used to interface with multiple payment methods. The financial data analysis module is used to analyze financial data and generate financial statements. The financial monitoring module is used to monitor the financial status in real time according to the financial statements.
[0010] Optionally, the security management unit specifically includes: The tourism facility management module is used to monitor tourism facilities in real time to ensure the safety and normal operation of the facilities. The scenic area monitoring module is used to conduct all-round monitoring of the scenic area through a video monitoring system. The traffic management module is used to formulate scenic area traffic plans and monitor the traffic in the scenic area in real time. The fire management module is used to manage the construction and maintenance of fire facilities. The personnel gathering management module predicts and monitors the number of tourists or the number of people queuing at facilities through a target detection algorithm, and when the number approaches or exceeds a preset threshold, it pushes reminder information to customers.
[0011] Optionally, the personnel gathering management module specifically includes: The image training data acquisition sub-module is used to obtain image training data, which includes scenic area monitoring data and the corresponding number of tourists. A model training sub-module is used to construct an initial number detection model according to an object detection algorithm, input the image training data into the initial number detection model for number recognition, and train according to an objective loss function to obtain a trained number detection model. Based on the trained number detection model, a personnel gathering management task is executed. When the detected number is close to or exceeds a preset threshold, a reminder message is pushed to the customer.
[0012] Optionally, the communication module includes one or more of a LoRa module, a 2.5G communication module, a 3G communication module, a 4G communication module, and a 5G communication module.
[0013] Optionally, a positioning module is also integrated inside the communication module, and the positioning module includes any one of a GPS positioning module and a Beidou positioning module.
[0014] The technical effects of the present invention are as follows: By integrating functional units such as customer management, order management, security management, communication management, and cloud platform, the present invention realizes full-process coverage from customer information collection, personalized recommendation, order processing to scenic area security management. The system uses modern technologies (such as machine learning and object detection algorithms, etc.) to improve the user experience and service quality. At the same time, through the cloud platform and communication module, data security and the collaborative work between each unit are ensured. By integrating multiple functional units, the present invention realizes the comprehensive management and service optimization of tourism business. The customer management unit can accurately predict customer needs and provide personalized services; the order management unit improves the order processing efficiency; the customer terminal enhances the customer experience; the security management unit guarantees the safety of the scenic area and tourists; the communication management unit and the cloud platform realize the collaborative work between each unit. Description of the Drawings
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the following described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0016] The drawings constituting a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings: Figure 1 It is a schematic diagram of the system structure in the embodiments of the present invention. Detailed Embodiments
[0017] The various exemplary embodiments of the present invention will now be described in detail. This detailed description should not be considered as a limitation on the present invention, but rather as a more detailed description of certain aspects, features, and implementation schemes of the present invention.
[0018] It should be understood that the terms described in the present invention are only for describing specific embodiments and are not used to limit the present invention. Additionally, for the numerical ranges in the present invention, it should be understood that each intermediate value between the upper and lower limits of the range is also specifically disclosed. Each intermediate value within any stated value or stated range, as well as each smaller range between any other stated value or intermediate value within the stated range, is also included in the present invention. The upper and lower limits of these smaller ranges may be independently included or excluded from the range.
[0019] Regarding the use of "comprising", "including", "having", "containing", etc. in this text, they are all open-ended terms, meaning including but not limited to.
[0020] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the accompanying drawings and combine with the embodiments to detail this application.
[0021] As Figure 1 shown, in this embodiment, a tourism online management system is provided, including: A customer login unit, used to provide a customer login function and push real-time information of scenic spots to customers; A customer information management unit, used to store basic information, preference information, and customer behavior records of customers, and based on the stored customer information, use machine learning algorithms to predict customer needs and provide personalized recommendation suggestions; An order management unit, used to manage ticket data and financial data, and analyze and monitor the financial data; A security management unit, used to provide scenic spot security management; A communication management unit, used to connect each unit using a communication module; A cloud platform, used to store the data generated by each unit.
[0022] The purpose of this embodiment is to provide a tourism online management system, which realizes full-process coverage from customer information collection, personalized recommendation, order processing to scenic spot security management by integrating functional units such as customer management, order management, security management, communication management, and cloud platform, and improves user experience and service quality.
[0023] To achieve the above purpose, this embodiment provides a tourism online management system, including: Customer terminals (mobile APP and mini-program): Login module, providing convenient customer login function to ensure the security and privacy of customer information.
[0024] Location module, integrating high-precision positioning technology, providing customers with real-time location information to assist in navigation and positioning within the scenic area.
[0025] Push module, based on customer interests and needs, intelligently pushing practical information such as scenic area routes, environment previews, and scenic spot explanations.
[0026] Intelligent tour guide voice service module: Through advanced speech recognition and synthesis technology, providing personalized scenic spot voice explanation services to enhance the customer's tourism immersion.
[0027] Complaint module, setting up a dedicated complaint channel to collect and process customer complaint opinions in a timely manner to improve customer satisfaction.
[0028] Feedback module, collecting customer feedback through online evaluations, questionnaires, etc., and continuously optimizing system performance and service experience based on the feedback data.
[0029] Customer information management unit: Supporting multi-dimensional customer information entry, including basic information (name, contact information, address, etc.), preference information (travel preferences, consumption habits, etc.), and customer behavior records (browsing history, booking records, consultation records). Supporting behavior tagging, such as "high-frequency booking users", "potential high-value customers", etc., for subsequent analysis and marketing. The information management module supports formats such as Excel and CSV, facilitating data migration and backup.
[0030] Personalized marketing: Based on customer behavior and preference data, using data analysis tools (such as machine learning algorithms or large language models) to accurately predict customer needs. Providing personalized recommendation functions to recommend suitable travel products, packages, or activities according to customer needs. At the same time, supporting the creation and management of marketing activities, including channels such as email marketing, SMS marketing, and APP push, to achieve precise reach.
[0031] Customer demand prediction: Using machine learning algorithms to build and train a user demand prediction model. This model analyzes customer preferences and behavior records to accurately predict customer demand for travel products, and thus provides personalized recommendation suggestions. Based on the trained user demand prediction model, execute personalized marketing tasks such as email marketing and SMS push to achieve precise reach and high-efficiency conversion.
[0032] Feasible, the process of customer demand prediction includes: Collect customer data: Basic information: Age, gender, occupation, permanent residence, etc.
[0033] Preference information: The interest preferences filled in by customers on the platform (such as favorite travel destinations, types of travel activities, etc.).
[0034] Behavior records: Browsing history (pages of travel products browsed), booking records (travel products purchased), consultation records (customer service questions consulted).
[0035] Feedback data: Customer evaluations of purchased products, satisfaction scores, etc.
[0036] Model construction and training: Clean the collected data to remove invalid or missing values. Vectorize the text data (such as titles of browsed pages, consultation content) (e.g., using TF-IDF or Word2Vec). Convert customer preferences and behavior records into feature vectors, for example: the number of times of browsing beach vacation pages, the number of times of booking historical and cultural travel products, etc.
[0037] Model selection: Select a machine learning algorithm suitable for classification or regression tasks, such as logistic regression, decision tree, random forest, or neural network.
[0038] Use whether a customer purchases a certain type of travel product as a label (1 indicates purchase, 0 indicates non-purchase).
[0039] Model training: Use historical data as the training set, input the feature vectors and corresponding labels into the model for training. Adjust the model parameters through cross-validation to optimize the model performance.
[0040] Predict customer needs: For new or existing customers, extract their feature vectors and input them into the trained model. The model outputs the interest probabilities of customers for different travel products. Based on the interest probabilities, recommend the travel products or packages with the highest interest probabilities to customers.
[0041] Effect evaluation: Regularly evaluate the prediction accuracy of the model and the conversion rate of marketing activities. At the same time, collect customer feedback to further optimize the model and recommendation strategies.
[0042] Order management unit: Ticket management module: Provide one-stop services such as ticket booking, refund, and itinerary change, simplify the ticket purchase process, and enhance the customer experience.
[0043] Online order management module: Support functions such as order query, modification, and cancellation to ensure the accuracy and timeliness of order information.
[0044] Payment module: Interface with multiple payment methods to ensure the security and convenience of the payment process.
[0045] Financial data analysis module: Conduct in-depth analysis of financial data, generate detailed financial statements, and provide strong support for decision-making.
[0046] Financial Monitoring Module: Monitor the financial situation in real time, detect and handle potential risks in a timely manner, and ensure financial security.
[0047] Security Management Unit: Tourist Facility Management Module: Monitor the operating status of tourist facilities in real time to ensure the safety and normal operation of the facilities.
[0048] Scenic Area Monitoring Module: Conduct all-round and non-blind-spot monitoring of the scenic area through the video monitoring system to ensure the safety of the scenic area.
[0049] Traffic Management Module: Formulate and optimize the traffic plan for the scenic area, monitor the traffic situation in real time, and ensure the convenience and safety of tourists' travel.
[0050] Fire Management Module: Build a complete fire protection facility system, conduct regular fire drills and training, and improve the fire safety awareness and emergency handling ability of employees.
[0051] Crowd Management Module: Collect and collate the monitoring data of scenic spots and the corresponding number of visitors, providing sufficient data support for model training. Build a number detection model based on the object detection algorithm and continuously optimize the model performance through training data. This model can detect and predict the number of visitors or the number of people in line in real time. When the number approaches or exceeds the preset threshold, it will push reminder information to customers in a timely manner to avoid overcrowding.
[0052] To build a number detection model based on the object detection algorithm, it is first necessary to collect and collate the monitoring data of scenic spots and the corresponding number of visitors, providing sufficient data support for model training. The specific steps are as follows: Obtain real-time video streams or image data from the monitoring cameras in the scenic area, annotate the collected image data, and mark the number of people and their positions in each image (annotated in the form of bounding boxes).
[0053] Data Preprocessing: Adjust the image data to a unified size and perform data augmentation (such as flipping, cropping, rotating) to improve the generalization ability of the model.
[0054] Model Selection: Select the YOLOv5 algorithm to build the initial model. YOLOv5 is a single-stage object detection algorithm that can meet the real-time requirements while ensuring the detection accuracy.
[0055] Use the annotated dataset for training, set parameters such as the learning rate, batch size, and number of training epochs. Train the model through optimization algorithms (such as Adam) and loss functions (such as cross-entropy loss).
[0056] During the training process, the performance of the model is evaluated through the validation set, and hyperparameters are adjusted to optimize the accuracy and recall rate of the model. Through cross-validation and hyperparameter tuning, it is ensured that the model has good generalization ability in different scenarios.
[0057] The trained people detection model can detect and predict the number of people visiting the facility or queuing in real time.
[0058] Real-time detection: The real-time video stream of the scenic area surveillance camera is input into the trained model. The model uses object detection algorithms to identify the number of people in the video in real time and outputs the detection results.
[0059] Taking the maximum allowable number of people in a certain area of the scenic area as the preset threshold, when the detected number of people approaches or exceeds the preset threshold, the system automatically triggers an early warning mechanism. After triggering, a reminder message is pushed to the customer terminal, suggesting that tourists choose other tour routes or waiting time prediction to avoid overcrowding.
[0060] The personnel gathering management module provided in this embodiment can be applied to multiple scenarios in the scenic area, such as popular scenic spots, queuing areas, restaurants, etc. Through real-time monitoring and early warning, it can effectively avoid overcrowding of people, improve the tourist experience, and at the same time ensure the safety of the scenic area.
[0061] This embodiment also provides a communication management unit, which integrates multiple communication modules such as LoRa, 2.5G, 3G, 4G, and 5G to ensure efficient and stable information transmission between functional units. At the same time, it integrates positioning modules such as GPS and Beidou internally to provide accurate positioning services to assist scenic area management and customer navigation.
[0062] The cloud platform, as the central platform for data storage and sharing, is seamlessly connected to each functional unit to ensure the integrity, security, and accessibility of data. Advanced data encryption and backup technologies are adopted to ensure the security and reliability of data.
[0063] This embodiment integrates functional units such as customer management, order management, security management, communication management, and cloud platform to achieve full-process coverage from customer information collection, personalized recommendation, order processing to scenic area security management. The system uses modern technologies (such as machine learning and object detection algorithms, etc.) to improve the user experience and service quality. At the same time, through the cloud platform and communication modules, it ensures data security and the collaborative work between units. This embodiment realizes the comprehensive management and service optimization of tourism business by integrating multiple functional units. The customer management unit can accurately predict customer needs and provide personalized services; the order management unit improves the order processing efficiency; the customer terminal enhances the customer experience; the security management unit guarantees the safety of the scenic area and tourists; the communication management unit and the cloud platform realize the collaborative work between units.
[0064] Through the intelligent and automated functional design, this embodiment not only improves the customer experience and the scenic area management level, but also optimizes the operation efficiency, enhances the data security and sharing capabilities, reduces the operation cost, improves the competitiveness and image of the scenic area, promotes the innovative development of the tourism industry, and has significant economic and social benefits.
[0065] The above are only the preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. An online tourism management system, characterized in that, It includes: A customer login unit, which is used to provide the customer login function and push the real-time information of the scenic area to the customer; A customer information management unit, which is used to store the basic information, preference information and customer behavior records of the customer, and based on the stored customer information, use machine learning algorithms to predict customer needs and provide personalized recommendation suggestions; An order management unit, which is used to manage ticket data and financial data and analyze and monitor the financial data; A security management unit, which is used to provide scenic area security management; A communication management unit, which is used to connect each unit by using a communication module; A cloud platform, which is used to store the data generated by each unit.
2. The online tourism management system according to claim 1, wherein The customer login unit specifically includes: A login module, which is used to provide the customer login function; A push module, which is used to push the scenic area route, environment preview and scenic spot commentary to the customer; An intelligent guide voice service module, which is used to provide scenic spot voice explanation services.
3. An online tourism management system according to claim 2, characterized in that, The customer login unit further includes: A complaint module, which is used to provide a complaint channel, collect and process customer complaints; A feedback module, which is used to obtain the feedback data of the customer and optimize the system based on the feedback data.
4. An online tourism management system according to claim 1, characterized in that, The customer information management unit specifically includes: An information management module, which is used to store the basic information, preference information and customer behavior records of the customer; A personalized marketing module, which is used to input the preference information and customer behavior records into a user demand prediction model for classification prediction to obtain personalized recommendation suggestions for tourism products; among them, the user demand prediction model is constructed based on machine learning algorithms.
5. An online tourism management system according to claim 4, characterized in that The personalized marketing module specifically includes: A model training sub-module, which is used to obtain training data, and the training data includes user training data and corresponding tourism product selections; construct an initial user demand prediction model, input the training data into the initial user demand prediction model for classification prediction, and take the minimum loss between the initial training result after classification prediction and the tourism product selection corresponding to the user training data as the goal for training to obtain a trained user demand prediction model; A model application sub-module, which is used to perform personalized marketing tasks according to the trained user demand prediction model.
6. An online tourism management system according to claim 1, wherein, The order management unit specifically includes: A ticket management module, which is used to provide ticket booking functions, ticket refund functions and ticket change functions; An online order management module, which is used to provide order query functions, order modification functions and order cancellation functions; A payment module, which is used to dock multiple payment methods; A financial data analysis module, which is used to analyze the financial data and generate financial statements; A financial monitoring module, which is used to monitor the financial situation in real time according to the financial statements.
7. An online tourism management system according to claim 1, characterized in that, The security management unit specifically includes: A tourism facility management module, which is used to monitor the tourism facilities in real time to ensure the safety and normal operation of the facilities; A scenic area monitoring module, which is used to conduct all-round monitoring of the scenic area through a video monitoring system; A traffic management module, which is used to formulate the scenic area traffic plan and monitor the traffic in the scenic area in real time; A fire management module, which is used to manage the construction and maintenance of fire-fighting facilities; A personnel gathering management module, which predicts and monitors the number of tourists or the number of people queuing at the facilities through a target detection algorithm, and when the number approaches or exceeds a preset threshold, pushes a reminder message to the customer.
8. An online tourism management system according to claim 7, characterized in that, The personnel gathering management module specifically includes: An image training data acquisition sub-module for acquiring image training data, where the image training data includes scenic spot monitoring data and the corresponding number of visitors; A model training sub-module for constructing an initial number detection model according to the object detection algorithm, inputting the image training data into the initial number detection model for number recognition, and training according to the target loss function to obtain a trained number detection model, and performing personnel gathering management tasks based on the trained number detection model. When the detected number is close to or exceeds the preset threshold, a reminder message is pushed to the customer.
9. An online tourism management system according to claim 1, wherein The communication module includes one or more of a LoRa module, a 2.5G communication module, a 3G communication module, a 4G communication module, and a 5G communication module.
10. An online tourism management system according to claim 9, characterized in that, A positioning module is also integrated inside the communication module, and the positioning module includes any one of a GPS positioning module and a Beidou positioning module.